Chen Yang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 7
- Platelet Disorders and Treatments 5
- Blood groups and transfusion 5
- Co-authors
- Kun Huang (10 shared papers)Dong Yang (5 shared papers)Yuchen Chen (4 shared papers)Mingrui Xiong (3 shared papers)Yu Zhang (2 shared papers)Biao Cheng (2 shared papers)Liang Ma (6 shared papers)Chong Liu (1 shared paper)
- Journals
- Annals of Hematology (7 papers)Blood (4 papers)Nature Communications (3 papers)Scientific Reports (2 papers)Annals of Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chen Yang
51 papers receiving 1.3k citations
Chen Yang's Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 332
- Neurology 196
- Biological Psychiatry 16
- Physiology 29
- Endocrinology, Diabetes and Metabolism 84
Countries citing papers authored by Chen Yang
This map shows the geographic impact of Chen Yang'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 Chen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yang more than expected).
Fields of papers citing papers by Chen Yang
This network shows the impact of papers produced by Chen Yang. 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 Chen Yang. The network helps show where Chen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 303 | |
| 2 | 2020 | 170 | |
| 3 | admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties Hit paper breakdown → | 2024 | 78 |
| 4 | 2019 | 77 | |
| 5 | 2022 | 71 | |
| 6 | 2020 | 62 | |
| 7 | 2018 | 56 | |
| 8 | 2021 | 55 | |
| 9 | 2021 | 48 | |
| 10 | 2019 | 38 | |
| 11 | 2022 | 37 | |
| 12 | 2023 | 29 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2023 | 11 |
About Chen Yang
Chen Yang is a scholar working on Hematology, Molecular Biology, Physiology, Infectious Diseases and Genetics, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Platelet Disorders and Treatments (5 papers), Alzheimer's disease research and treatments (5 papers), Blood groups and transfusion (5 papers), Erythrocyte Function and Pathophysiology (4 papers), COVID-19 Clinical Research Studies (4 papers), Blood disorders and treatments (4 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Infectious Diseases (332 citations), Neurology (196 citations), Biological Psychiatry (16 citations), Physiology (29 citations) and Endocrinology, Diabetes and Metabolism (84 citations). Chen Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun Huang, Dong Yang, Yuchen Chen, Mingrui Xiong, Yu Zhang, Biao Cheng, Liang Ma, Chong Liu, Aiping Deng and Anlin Peng. Their work appears in journals such as Annals of Hematology, Blood, Nature Communications, Scientific Reports and Annals of Medicine.
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.