Han Lei
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
-
- Blood Pressure and Hypertension Studies
- Cardiovascular Function and Risk Factors
Papers in
-
- Blood Pressure and Hypertension Studies 4
- Heart Failure Treatment and Management 3
- Atrial Fibrillation Management and Outcomes 3
- Surgery 17
- Cholesterol and Lipid Metabolism 7
- Co-authors
- Zhongjie Sun (5 shared papers)Wei Huang (12 shared papers)Kai Chen (1 shared paper)Yuan Yang (7 shared papers)Yaxi Chen (4 shared papers)Zhong Zuo (2 shared papers)Yi Lin (1 shared paper)Quaisar Ali (1 shared paper)
- Journals
- PLoS ONE (3 papers)European Journal of Human Genetics (2 papers)Cardiology (2 papers)Medicine (2 papers)Journal of the American Society of Nephrology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Han Lei
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Nephrology 187
- Cardiology and Cardiovascular Medicine 371
- Cancer Research 167
- Geriatrics and Gerontology 41
- Immunology 143
Countries citing papers authored by Han Lei
This map shows the geographic impact of Han Lei'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 Han Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Lei more than expected).
Fields of papers citing papers by Han Lei
This network shows the impact of papers produced by Han Lei. 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 Han Lei. The network helps show where Han Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Lei, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2014 | 97 | |
| 3 | 2013 | 70 | |
| 4 | 2015 | 64 | |
| 5 | 2018 | 50 | |
| 6 | 2016 | 50 | |
| 7 | 2009 | 49 | |
| 8 | 2010 | 48 | |
| 9 | 2012 | 47 | |
| 10 | 2013 | 46 | |
| 11 | 2015 | 45 | |
| 12 | 2014 | 42 | |
| 13 | 2010 | 40 | |
| 14 | 2017 | 38 | |
| 15 | 2017 | 37 | |
| 16 | 2019 | 29 | |
| 17 | 2017 | 29 | |
| 18 | 2012 | 28 | |
| 19 | 2015 | 27 | |
| 20 | 2018 | 23 |
About Han Lei
Han Lei is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Immunology and Epidemiology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Cholesterol and Lipid Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Blood Pressure and Hypertension Studies (4 papers), Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Heart Failure Treatment and Management (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Nephrology (187 citations), Cardiology and Cardiovascular Medicine (371 citations), Cancer Research (167 citations), Geriatrics and Gerontology (41 citations) and Immunology (143 citations). Han Lei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongjie Sun, Wei Huang, Kai Chen, Yuan Yang, Yaxi Chen, Zhong Zuo, Yi Lin, Quaisar Ali, Dayi Hu and Jiayan Lei. Their work appears in journals such as PLoS ONE, European Journal of Human Genetics, Cardiology, Medicine and Journal of the American Society of Nephrology.
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.