Chen Yang
Impact in
- Endocrinology top 5%
- Legionella and Acanthamoeba research
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in ⓘ
- Hematology 17
- Hematopoietic Stem Cell Transplantation 7
- Platelet Disorders and Treatments 7
- Blood groups and transfusion 6
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- Erythrocyte Function and Pathophysiology 6
- Co-authors
- Li Yu (5 shared papers)Kun Huang (10 shared papers)Ling Zheng (7 shared papers)Dong Yang (5 shared papers)Matthias P. Machner (2 shared papers)Yuchen Chen (4 shared papers)Peter S. Backlund (1 shared paper)Andrew H. Gaspar (1 shared paper)
- Journals
- Annals of Hematology (7 papers)Blood (4 papers)Scientific Reports (3 papers)Nature Communications (3 papers)Journal of Proteome Research (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Yang
83 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Endocrinology 158
- Physiology 108
- Infectious Diseases 440
- Neurology 265
- Cell Biology 223
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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 298 | |
| 2 | 2011 | 187 | |
| 3 | 2020 | 164 | |
| 4 | 2019 | 118 | |
| 5 | 2015 | 105 | |
| 6 | 2012 | 83 | |
| 7 | 2017 | 80 | |
| 8 | 2019 | 72 | |
| 9 | 2022 | 64 | |
| 10 | admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties Hit paper breakdown → | 2024 | 59 |
| 11 | 2020 | 58 | |
| 12 | 2018 | 54 | |
| 13 | 2011 | 53 | |
| 14 | 2021 | 52 | |
| 15 | 2021 | 47 | |
| 16 | 2021 | 46 | |
| 17 | 2020 | 40 | |
| 18 | 2019 | 37 | |
| 19 | 2020 | 35 | |
| 20 | 2022 | 34 |
About Chen Yang
Chen Yang is a scholar working on Hematology, Physiology, Obstetrics and Gynecology, Genetics and Infectious Diseases, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Autophagy in Disease and Therapy (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Blood disorders and treatments (7 papers), Platelet Disorders and Treatments (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Blood groups and transfusion (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Endocrinology (158 citations), Physiology (108 citations), Infectious Diseases (440 citations), Neurology (265 citations) and Cell Biology (223 citations). Chen Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Yu, Kun Huang, Ling Zheng, Dong Yang, Matthias P. Machner, Yuchen Chen, Peter S. Backlund, Andrew H. Gaspar, Alfred L. Yergey and M. Ramona Neunuebel. Their work appears in journals such as Annals of Hematology, Blood, Scientific Reports, Nature Communications and Journal of Proteome Research.
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.