Nature Communications 2022 — papers
The works of Nature Communications published in 2022 that our library holds (publisher: Nature Portfolio): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials ↗Simon Batzner, Albert Musaelian, Lixin Sun et al.1,911 citations
- The Medical Segmentation Decathlon ↗Michela Antonelli, Annika Reinke, Spyridon Bakas et al.1,325 citations
- Harnessing protein folding neural networks for peptide–protein docking ↗Tomer Tsaban, Julia K. Varga, Orly Avraham et al.1,199 citations
- Rhizosphere bacteriome structure and functions ↗Ning Ling, Tingting Wang, Yakov V. Kuzyakov1,164 citations
- Improved prediction of protein-protein interactions using AlphaFold2 ↗Patrick Bryant, Gabriele Pozzati, Arne Elofsson1,006 citations
- Microbiome differential abundance methods produce different results across 38 datasets ↗Jacob T. Nearing, Gavin M. Douglas, Molly G. Hayes et al.992 citations
- A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues ↗Dominik Saul, Robyn Laura Kosinsky, Elizabeth J. Atkinson et al.988 citations
- Flood exposure and poverty in 188 countries ↗Jun Erik Maruyama Rentschler, Melda Salhab, Bramka Arga Jafino987 citations
- Assessment of global health risk of antibiotic resistance genes ↗Zhenyan Zhang, Qi Zhang, Tingzhang Wang et al.976 citations
All works of the year (7,617)
- E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials ↗Simon Batzner, Albert Musaelian, Lixin Sun et al.1,911 citations
- The Medical Segmentation Decathlon ↗Michela Antonelli, Annika Reinke, Spyridon Bakas et al.1,325 citations
- Harnessing protein folding neural networks for peptide–protein docking ↗Tomer Tsaban, Julia K. Varga, Orly Avraham et al.1,199 citations
- Rhizosphere bacteriome structure and functions ↗Ning Ling, Tingting Wang, Yakov V. Kuzyakov1,164 citations
- Improved prediction of protein-protein interactions using AlphaFold2 ↗Patrick Bryant, Gabriele Pozzati, Arne Elofsson1,006 citations
- Microbiome differential abundance methods produce different results across 38 datasets ↗Jacob T. Nearing, Gavin M. Douglas, Molly G. Hayes et al.992 citations
- A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues ↗Dominik Saul, Robyn Laura Kosinsky, Elizabeth J. Atkinson et al.988 citations
- Flood exposure and poverty in 188 countries ↗Jun Erik Maruyama Rentschler, Melda Salhab, Bramka Arga Jafino987 citations
- Assessment of global health risk of antibiotic resistance genes ↗Zhenyan Zhang, Qi Zhang, Tingzhang Wang et al.976 citations
- Single-cell and spatial analysis reveal interaction of FAP+ fibroblasts and SPP1+ macrophages in colorectal cancer ↗Jingjing Qi, Hongxiang Sun, Yao Zhang et al.952 citations
- Global stocks and capacity of mineral-associated soil organic carbon ↗Katerina Georgiou, Robert B. Jackson, Olga Vindušková et al.936 citations
- Splicing the active phases of copper/cobalt-based catalysts achieves high-rate tandem electroreduction of nitrate to ammonia ↗Wenhui He, Jian Zhang, Stefan Dieckhöfer et al.864 citations
- Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer ↗Zaoqu Liu, Long Liu, Siyuan Weng et al.843 citations
- Active hydrogen boosts electrochemical nitrate reduction to ammonia ↗Kui Fan, Wenfu Xie, Jinze Li et al.840 citations
- Ampere-level current density ammonia electrochemical synthesis using CuCo nanosheets simulating nitrite reductase bifunctional nature ↗Jia-Yi Fang, Qizheng Zheng, Yao‐Yin Lou et al.824 citations
- Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation ↗Jiangong Zhu, Yixiu Wang, Yuan Huang et al.815 citations
- ProtGPT2 is a deep unsupervised language model for protein design ↗Noelia Ferruz, Steffen Schmidt, Birte Höcker780 citations
- Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data ↗Aleksandr Ianevski, Anil Kumar Giri, Tero A. Aittokallio764 citations
- Systematic and quantitative view of the antiviral arsenal of prokaryotes ↗Florian Tesson, Alexandre Hervé, Ernest Mordret et al.759 citations
- Unraveling the electronegativity-dominated intermediate adsorption on high-entropy alloy electrocatalysts ↗Jiace Hao, Zechao C. Zhuang, Kecheng Cao et al.757 citations
- Subnanometric Ru clusters with upshifted D band center improve performance for alkaline hydrogen evolution reaction ↗Qi Lin Hu, Keru Gao, Xiaodeng Wang et al.741 citations
- Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder ↗Kangning Dong, Shihua Zhang736 citations
- Perspectives in machine learning for wildlife conservation ↗Devis Tuia, Benjamin Kellenberger, Sara Beery et al.723 citations
- Programmable probiotics modulate inflammation and gut microbiota for inflammatory bowel disease treatment after effective oral delivery ↗Jun Zhou, Maoyi Li, Qiufang Chen et al.695 citations
See all 7,617 papers in Nature Communications 2022 — papers →
Works with our summary in our library (1)
- Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
Top topics
Fields
Computer Science (1)Decision Sciences (1)
Top authors
🧑🔬Jan Brauner1 work here · 93 citations🧑🔬Matthias Samwald1 work here · 93 citations🧑🔬Simon Ott1 work here · 93 citations
Top institutions
🎓University of OxfordOxford ·
United Kingdom1 work here🎓Medical University of ViennaVienna ·
Austria1 work here
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