Dan Yi
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Nephrology top 5%
- Dialysis and Renal Disease Management
Papers in
-
- Extracellular vesicles in disease 5
- Peroxisome Proliferator-Activated Receptors 3
- Protein Interaction Studies and Fluorescence Analysis 3
-
- Pulmonary Hypertension Research and Treatments 9
- Co-authors
- Ke Lu (4 shared papers)Di Chen (6 shared papers)Christophe Olivier Soulage (8 shared papers)Liping Tong (5 shared papers)Guozhi Xiao (6 shared papers)Huan Yu (2 shared papers)Xueqin Ni (1 shared paper)Jinge Xin (1 shared paper)
- Journals
- Biochimie (3 papers)Kidney International (3 papers)Journal of Orthopaedic Translation (2 papers)Frontiers in Plant Science (2 papers)Bone Research (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dan Yi
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Rheumatology 230
- Nephrology 101
- Complementary and Manual Therapy 27
- Cancer Research 166
- Molecular Biology 637
Countries citing papers authored by Dan Yi
This map shows the geographic impact of Dan Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yi more than expected).
Fields of papers citing papers by Dan Yi
This network shows the impact of papers produced by Dan Yi. 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 Yi. The network helps show where Dan Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yi, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 233 | |
| 2 | 2014 | 134 | |
| 3 | 2021 | 83 | |
| 4 | 2021 | 60 | |
| 5 | 2016 | 58 | |
| 6 | 2015 | 54 | |
| 7 | 2024 | 53 | |
| 8 | Long nonding RNA UCA1 regulates neural stem cell differentiation by controlling miR-1/Hes1 expression. | 2017 | 47 |
| 9 | 2013 | 46 | |
| 10 | 2012 | 44 | |
| 11 | 2017 | 33 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 24 | |
| 18 | 2018 | 24 | |
| 19 | 1998 | 23 | |
| 20 | 2015 | 22 |
About Dan Yi
Dan Yi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Nephrology, Cancer Research and Physiology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Extracellular vesicles in disease (5 papers), Dialysis and Renal Disease Management (4 papers), Nerve injury and regeneration (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), MicroRNA in disease regulation (3 papers), Temporomandibular Joint Disorders (3 papers) and Protein Interaction Studies and Fluorescence Analysis (3 papers). The work is most often cited by research in Rheumatology (230 citations), Nephrology (101 citations), Complementary and Manual Therapy (27 citations), Cancer Research (166 citations) and Molecular Biology (637 citations). Dan Yi has collaborated with scholars based in China, United States and France. Frequent co-authors include Ke Lu, Di Chen, Christophe Olivier Soulage, Liping Tong, Guozhi Xiao, Huan Yu, Xueqin Ni, Jinge Xin, Bo Jing and Hesong Wang. Their work appears in journals such as Biochimie, Kidney International, Journal of Orthopaedic Translation, Frontiers in Plant Science and Bone 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.