NATURE自然
NATURE(英文缩写 NATURE),ISSN 0028-0836,eISSN 1476-4687,中文译名:自然 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。
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。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 69.504 | Q1 |
| 2022 | 64.800 | Q1 |
| 2023 | 50.500 | Q1 |
| 2024 | 48.500 | Q1 |
| 2025 | 56.100 | Q1 |
NATURE 最新收录文献
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1. Retraction Note: Ribosomal frameshifting in the CCR5 mRNA is regulated by miRNAs and the NMD pathway.
PMID:日期:2026-10-01该文献暂无摘要。
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2. Battle of the Anthropocene: allegations re-ignite row over proposed geologic epoch.
PMID:日期:2026-10-01该文献暂无摘要。
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3. Gaze into the cosmos and through the eyes of a bee - September's best science images.
PMID:日期:2026-10-01该文献暂无摘要。
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4. The 'missed disease' that affects 190 million: endometriosis drug shows early promise.
4. 9亿人的“被忽视的疾病”：子宫内膜异位症药物显示出早期希望PMID:日期:2026-10-01该文献暂无摘要。
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5. Daily briefing: How to save corals from the El Niño.
5. 每日简报：如何从厄尔尼诺现象中拯救珊瑚PMID:日期:2026-09-30该文献暂无摘要。
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6. This award-winning microscopy image used AI - igniting controversy in a prestigious competition.
PMID:日期:2026-09-30该文献暂无摘要。
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7. GPCR antagonism via rewiring of receptor trafficking and degradation.
7. 通过重塑受体运输和降解实现GPCR拮抗PMID:日期:2026-09-30G-protein-coupled receptors (GPCRs) represent one of the most important yet incompletely addressed classes of therapeutic targets. Here we report a strategy for functional GPCR antagonism through bispecific antibody-mediated endocytosis and lysosomal degradation. GPCR-TfR1 targeting chimeras (GTACs) achieve potent and selective downregulation of multiple GPCRs, including BILF1, RXFP1 and CCR6-viral, cancer and immune targets that have been difficult to drug. GTACs lead to complete inhibition of receptor signalling, including constitutive signalling, with more than one to two orders of magnitude greater potency than conventional antibody antagonists. Using protein engineering and multicolour live-cell imaging, we establish a context-dependent degrader design and explain the cellular mechanisms, with broad relevance for degrader technology. The GTAC platform establishes induced endocytosis and rewiring protein trafficking as a model for therapeutic GPCR modulation.
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9. How to spend $25 billion on science: OpenAI's staggeringly rich research charity gets under way.
PMID:日期:2026-09-30该文献暂无摘要。
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10. Scalable decision-making for games of imperfect information.
10. 面向不完全信息博弈的可扩展决策PMID:日期:2026-09-30Real-world decision-making generally involves hidden information, that is, information that is unknown to one agent but possessed by another. Unfortunately, the presence of large amounts of hidden information renders established reinforcement learning and search approaches ineffective. Even with multimillion-dollar industrial research efforts, top-human-level play at Stratego-a board wargame with hidden information on a massive scale-has remained beyond the reach of artificial intelligence (AI). Here we introduce Ataraxos, an AI for Stratego based on general techniques that we developed for both self-play reinforcement learning and test-time search under hidden information. Ataraxos defeated the most decorated human Stratego player of all time by a large margin-achieving, to our knowledge, the first superhuman result in the game's history-while consuming orders of magnitude less compute and data than previous efforts. Using the same techniques, we built a superhuman AI for Barrage Stratego and state-of-the-art AIs for Hanabi and dou dizhu, all with low cost and high sample efficiency. The success of this approach across adversarial, cooperative and team games establishes a design pattern for reinforcement learning and search that is effective under large amounts of hidden information, a longstanding desideratum of the field of strategic decision-making.