Yang Shen
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 14
-
- Protein Structure and Dynamics 20
- RNA and protein synthesis mechanisms 9
- Machine Learning in Bioinformatics 6
- Epigenetics and DNA Methylation 5
- Co-authors
- Mostafa KarimiZhangyang WangDi WuGeoffrey L. GreeneHiroyuki OkanoTerence HwaMarkus BasanSheng Hui
- Journals
- Bioinformatics (7 papers)Proteins Structure Function and Bioinformatics (7 papers)Journal of the American Chemical Society (4 papers)Nature Communications (3 papers)Angewandte Chemie International Edition (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yang Shen
96 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Cancer Research 583
- Computational Theory and Mathematics 608
- Molecular Biology 2.5k
- Genetics 946
- Oncology 691
Countries citing papers authored by Yang Shen
This map shows the geographic impact of Yang Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Shen more than expected).
Fields of papers citing papers by Yang Shen
This network shows the impact of papers produced by Yang Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Shen. The network helps show where Yang Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 74 | |
| 9 | Reduced miR-363-3p expression in non-small cell lung cancer is associated with gemcitabine resistance via targeting of CUL4A | 2021 | 1 |
| 10 | Graph Contrastive Learning with Augmentations | 2020 | 46 |
| 11 | 2020 | 5 | |
| 12 | 2020 | 29 | |
| 13 | DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks Hit paper breakdown → | 2019 | 322 |
| 14 | 2017 | 15 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 215 | |
| 17 | Overflow metabolism in Escherichia coli results from efficient proteome allocation Hit paper breakdown → | 2015 | 485 |
| 18 | [Basic and clinical researches on amyotrophic lateral sclerosis/motor neuron disease]. | 2009 | 1 |
| 19 | 2006 | 4 | |
| 20 | 2003 | 22 |
About Yang Shen
Yang Shen is a scholar working on Computational Theory and Mathematics, Molecular Biology, Virology, Rehabilitation and Organic Chemistry, having authored 101 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Computational Drug Discovery Methods (14 papers), RNA and protein synthesis mechanisms (9 papers), Cyclopropane Reaction Mechanisms (7 papers), Machine Learning in Bioinformatics (6 papers), Enzyme Structure and Function (6 papers), Epigenetics and DNA Methylation (5 papers) and Catalytic C–H Functionalization Methods (4 papers). The work is most often cited by research in Cancer Research (583 citations), Computational Theory and Mathematics (608 citations), Molecular Biology (2.5k citations), Genetics (946 citations) and Oncology (691 citations). Yang Shen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Mostafa Karimi, Zhangyang Wang, Di Wu, Geoffrey L. Greene, Hiroyuki Okano, Terence Hwa, Markus Basan, Sheng Hui, James R. Williamson and Zhongge Zhang. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Journal of the American Chemical Society, Nature Communications and Angewandte Chemie International Edition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.