Dan Yang
Impact in
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
- Obstructive Sleep Apnea Research
- Adipose Tissue and Metabolism
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
-
- Aortic aneurysm repair treatments 14
- Aortic Disease and Treatment Approaches 5
- Co-authors
- Katya Ravid (17 shared papers)Zhihong Liu (8 shared papers)Nathan K. LeBrasseur (2 shared papers)Milka Koupenova (5 shared papers)Qing Yang (6 shared papers)Hui‐Hua Li (4 shared papers)Mary McKee (1 shared paper)Paul F. Pilch (1 shared paper)
- Journals
- PLoS ONE (4 papers)European Journal of Medicinal Chemistry (3 papers)Gene (3 papers)Stem Cell Research (3 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Yang
157 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 130
- Physiology 732
- Biological Psychiatry 181
- Endocrine and Autonomic Systems 211
- Neurology 239
- Cell Biology 431
Countries citing papers authored by Dan Yang
This map shows the geographic impact of Dan 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 Dan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yang more than expected).
Fields of papers citing papers by Dan Yang
This network shows the impact of papers produced by Dan 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 Dan Yang. The network helps show where Dan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 302 | |
| 2 | 2008 | 285 | |
| 3 | 2008 | 173 | |
| 4 | 2020 | 114 | |
| 5 | 2012 | 103 | |
| 6 | 2008 | 102 | |
| 7 | 2014 | 96 | |
| 8 | 2008 | 95 | |
| 9 | 2019 | 89 | |
| 10 | 2012 | 84 | |
| 11 | 2017 | 83 | |
| 12 | 2017 | 83 | |
| 13 | 2009 | 82 | |
| 14 | 2014 | 81 | |
| 15 | 2011 | 79 | |
| 16 | 2014 | 76 | |
| 17 | 2010 | 74 | |
| 18 | 2009 | 70 | |
| 19 | 2021 | 68 | |
| 20 | 2019 | 66 |
About Dan Yang
Dan Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Surgery, having authored 169 papers that have together received 3.9k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (14 papers), Adenosine and Purinergic Signaling (9 papers), Obstructive Sleep Apnea Research (7 papers), Infectious Aortic and Vascular Conditions (6 papers), Tryptophan and brain disorders (6 papers), Cell Adhesion Molecules Research (5 papers), Aortic Disease and Treatment Approaches (5 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). The work is most often cited by research in Physiology (732 citations), Biological Psychiatry (181 citations), Endocrine and Autonomic Systems (211 citations), Neurology (239 citations) and Cell Biology (431 citations). Dan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Katya Ravid, Zhihong Liu, Nathan K. LeBrasseur, Milka Koupenova, Qing Yang, Hui‐Hua Li, Mary McKee, Paul F. Pilch, Libin Liu and K. Albrecht. Their work appears in journals such as PLoS ONE, European Journal of Medicinal Chemistry, Gene, Stem Cell Research and Annals of Translational 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.