Jun He
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
-
- Air Quality and Health Impacts
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 3
- Surgery 16
- Pancreatic function and diabetes 5
- Co-authors
- Zhen Weng (1 shared paper)Yang He (1 shared paper)Yafeng Zhou (1 shared paper)Xiangjun Yang (1 shared paper)Jialu Yao (1 shared paper)Raymond H. Chan (1 shared paper)Shuangqing Peng (10 shared papers)Jun Zhao (7 shared papers)
- Journals
- PLoS ONE (3 papers)Oncotarget (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Cell Death and Disease (2 papers)Diagnostic Pathology (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Jun He
70 papers receiving 1.8k citations
Jun He's Hit Papers
Peers
Comparison fields: 5 of 132
- Obstetrics and Gynecology 210
- Health, Toxicology and Mutagenesis 194
- Cardiology and Cardiovascular Medicine 276
- Aging 20
- Urology 45
Countries citing papers authored by Jun He
This map shows the geographic impact of Jun He'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 Jun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun He more than expected).
Fields of papers citing papers by Jun He
This network shows the impact of papers produced by Jun He. 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 Jun He. The network helps show where Jun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun He, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prognostic Value of LGE-CMR in HCM Hit paper breakdown → | 2016 | 311 |
| 2 | Pathological Findings in the Testes of COVID-19 Patients: Clinical Implications Hit paper breakdown → | 2020 | 303 |
| 3 | 2016 | 106 | |
| 4 | 2017 | 76 | |
| 5 | 2013 | 63 | |
| 6 | 2021 | 53 | |
| 7 | 2009 | 52 | |
| 8 | 2018 | 50 | |
| 9 | 2020 | 47 | |
| 10 | 2013 | 43 | |
| 11 | 2005 | 41 | |
| 12 | 2014 | 38 | |
| 13 | 2014 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2008 | 33 | |
| 17 | 2015 | 30 | |
| 18 | 2014 | 25 | |
| 19 | 2017 | 25 | |
| 20 | 2018 | 24 |
About Jun He
Jun He is a scholar working on Molecular Biology, Surgery, Cell Biology, Plant Science and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (4 papers), Ion Channels and Receptors (4 papers), Cellular transport and secretion (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Air Quality and Health Impacts (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Obstetrics and Gynecology (210 citations), Health, Toxicology and Mutagenesis (194 citations), Cardiology and Cardiovascular Medicine (276 citations), Aging (20 citations) and Urology (45 citations). Jun He has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Zhen Weng, Yang He, Yafeng Zhou, Xiangjun Yang, Jialu Yao, Raymond H. Chan, Shuangqing Peng, Jun Zhao, Yimei Wang and Xiaoyan Yuan. Their work appears in journals such as PLoS ONE, Oncotarget, Journal of Clinical Laboratory Analysis, Cell Death and Disease and Diagnostic Pathology.
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.