CLINICAL CHEMISTRY临床化学

CLINICAL CHEMISTRY(英文缩写 CLIN CHEM),ISSN 0009-9147,eISSN 1530-8561,中文译名:临床化学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
8.300
JCR 分区
Q1
CAS 分区
B2
近一年发文量
182
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 0009-9147 · eISSN: 1530-8561 · 缩写: CLIN CHEM ·中文: 临床化学

期刊介绍

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期刊简介

Clinical Chemistry 是临床化学与检验医学领域的国际权威期刊,发表与疾病诊断、治疗监测和健康评估相关的实验室研究。主要领域涵盖临床生化、分子诊断、质谱技术、免疫分析、检验方法学与循证检验医学。读者群包括临床化学家、检验科医师、病理学家、转化医学研究者及体外诊断研发人员,适合关注实验室结果向临床决策转化的专业人士。

研究方向

主要方向包括临床生物化学、分子与遗传诊断、质谱与色谱分析、免疫测定、床旁检测、检验数据解读及实验室质量管理。论文类型有原创研究、方法学报告、综述、病例报告、观点与评论,也涉及分析前变异、参考区间和生物标志物临床验证等主题。

期刊特色

研究取向强调分析性能与临床效用的结合,重视方法验证、标准化和结果可重复性。论文通常要求充分的实验数据、统计学分析和临床相关性讨论。适合检验医学研究者、临床实验室主任、体外诊断企业科学家及关注实验室医学证据的临床医师阅读与投稿。

投稿难度

投稿难度较高,对创新性、分析严谨性和临床意义均有明确要求。建议在投稿前完善方法学验证、补充多中心或独立队列数据,并清晰说明对现有检验实践的改进价值。仅凭分区或影响因子判断录用前景并不可靠,应结合具体研究方向与近期同主题论文评估匹配度。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
202112.114Q1
20229.300Q1
20237.100Q1
20246.300Q1
20258.300Q1

CLINICAL CHEMISTRY 最新收录文献

  1. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

    1. ADLM 2026 Annual Meeting Abstracts: The Meeting of the Minds.

    作者:
    Jack A Maggiore, Sridevi Devaraj, Amy B Karger
    日期:
    2026-10-05

    该文献暂无摘要。

  2. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

    2. Diagnostic Challenges in γ-Heavy Chain Disease: A Case of Overestimated IgG Concentration.

    作者:
    Malcolm Tran, Jauntéa Maxey, Dennis L Cooper, Maria A Willrich, Kayode A Balogun
    日期:
    2026-10-05

    该文献暂无摘要。

  3. JCR分区: Q1 CAS分区: B2 影响因子: 8.3
  4. JCR分区: Q1 CAS分区: B2 影响因子: 8.3
  5. JCR分区: Q1 CAS分区: B2 影响因子: 8.3
  6. JCR分区: Q1 CAS分区: B2 影响因子: 8.3
  7. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

    7. Urinary Cell-Free DNA Fragmentomics Detects Multiple Urologic Cancers and May Reduce Unnecessary Prostate Biopsies.

    作者:
    Qing Zhou, Peiyong Jiang, Guannan Kang, Peter K F Chiu, Wenshuo Li, W K Jacky Lam, Mary-Jane L Ma, Wenlei Peng, Jing Liu, Yasine Malki, Jinyue Bai, Wanxia Gai, Stephanie C Y Yu, L Y Lois Choy, Suk Hang Cheng, Huimin Shang, Rebecca W Y Chan, Alvin H K Cheung, Gary M K Tse, Liona C Poon, Jeremy Y C Teoh, Cheuk-Chun Szeto, Chi-Fai Ng, K C Allen Chan, Y M Dennis Lo
    日期:
    2026-09-25

    Urinary cell-free DNA (ucfDNA) represents a completely noninvasive yet underutilized biospecimen for molecular diagnostics. Our group previously demonstrated that fragmentomic features of plasma cell-free DNA enable direct inference of underlying DNA methylation signals. However, the relationship between DNA methylation and fragmentomic patterns in urine, as well as their potential clinical utility, remains unexplored. We developed FRAGmentomics-based Methylation Analysis for ucfDNA (termed uFRAGMA) and evaluated its performance using 400 ucfDNA samples from patients with bladder, prostate, and kidney cancers, as well as non-cancer subjects. The ucfDNA fragmentation patterns around cancer-associated cytosine-phosphate-guanine (CpG) sites were used for cancer detection and differentiation. uFRAGMA demonstrated robust diagnostic performance across urological malignancies, achieving an area under the curve (AUC) of 0.98 for bladder cancer detection and 0.93 for kidney cancer detection. In the context of prostate cancer screening, uFRAGMA could potentially reduce unnecessary prostate biopsies by 67.5% among patients with elevated prostate-specific antigen (PSA) levels (>4 ng/mL), who would otherwise be at risk of overtreatment. Furthermore, we developed a tumor-of-origin classifier for urologic malignancies, attaining classification accuracies ranging from 71% to 92%. Our findings from this proof-of-concept study suggest that fragmentomics analysis of ucfDNA may provide a clinically meaningful, noninvasive strategy for cancer detection, localization, and risk stratification of urologic cancers, with potential to refine existing clinical practices and reduce unnecessary tissue biopsies.

  8. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

    8. Biomarker Discovery for PMM2-CDG Using Fractionated N-Glycomics Analysis.

    作者:
    Earnest J P Daniel, Andrew C Edmondson, Wenyue Zhang, Eva Morava, Mary Freeman, Hayden Vreugdenhill, Seishu Horikoshi, Christina Lam, Robin H J Kemperman, Stephen R Master, Hudson H Freeze, Miao He
    日期:
    2026-09-25

    The most common congenital disorder of glycosylation (CDG) worldwide is phosphomannomutase 2‎ (PMM2)-CDG, which presents with a highly variable, multisystem clinical spectrum that poses challenges for diagnosis and prognosis. We performed N-glycomics analysis on plasma and 3 plasma fractions: affinity-purified transferrin, IgG, and a triple-depleted fraction in which IgG, transferrin, and albumin were removed. A total of 103 samples from 71 PMM2-CDG patients were analyzed. Three major glycosylation abnormalities were identified in PMM2-CDG: (a) increases in intermediate glycans derived from high-mannose glycan assembly; (b) decreases in mature/processed multi-antennary N-glycans; and (c) abnormal fucosylation and branching. Total plasma N-glycan analysis demonstrated high clinical sensitivity and specificity, with increased Man3GlcNAc2 (Man3)/Man4-6, Man3/8-9, and Man5/8 ratios detected in all patients. Novel PMM2-CDG diagnostic biomarkers were also identified from this study, including increased Man4GlcNAc2 linkage isomers in plasma and novel hybrid glycans in the transferrin fraction. When correlated with the Nijmegen Progression CDG Rating Scale (NPCRS) in a diverse cohort age >2 years (n = 39; NPCRS 10-40), 11 glycans and 10 glycan ratios from total plasma and plasma fractions showed significant associations, providing strong candidates for use as disease biomarkers for PMM2-CDG. We identified 35 plasma N-glycan biomarkers in a large cohort of patients with PMM2-CDG, identifying key glycans and glycan ratios that correlate with clinical severity. Utilizing fractionated N-glycan profiling enhanced these clinical correlations, demonstrating their strong prognostic value and promising application as surrogate biomarkers in clinical trials.

  9. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

    9. Plasma Cell Leukemia with A "Missing" Monoclonal Protein on Immunofixation.

    作者:
    Jack L Wu, Maria Alice V Willrich, Mark Martinez, Theodore W Kurtz, Xander M R van Wijk
    日期:
    2026-09-03

    该文献暂无摘要。

  10. JCR分区: Q1 CAS分区: B2 影响因子: 8.3

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