Yun He
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 5
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Co-authors
- Gang Chen (12 shared papers)Peng Lin (13 shared papers)Dong‐yue Wen (11 shared papers)Hong Yang (14 shared papers)Xinjian Lin (6 shared papers)Junqiang Chen (5 shared papers)Hong Yang (5 shared papers)Denghua Pan (4 shared papers)
- Journals
- Oncotarget (3 papers)Cellular Physiology and Biochemistry (3 papers)Oncology Reports (2 papers)Hormone and Metabolic Research (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yun He
35 papers receiving 631 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 259
- Hepatology 41
- Endocrinology, Diabetes and Metabolism 66
- Molecular Biology 292
- Health Informatics 4
Countries citing papers authored by Yun He
This map shows the geographic impact of Yun 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 Yun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun He more than expected).
Fields of papers citing papers by Yun He
This network shows the impact of papers produced by Yun 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 Yun He. The network helps show where Yun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2018 | 47 | |
| 3 | 2017 | 42 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2016 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2019 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2018 | 19 | |
| 15 | Clinical roles of miR-136-5p and its target metadherin in thyroid carcinoma. | 2019 | 18 |
| 16 | 2018 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2017 | 16 | |
| 20 | Identification of down-regulated microRNAs in thyroid cancer and their potential functions. | 2018 | 15 |
About Yun He
Yun He is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 638 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Hepatitis B Virus Studies (5 papers), MicroRNA in disease regulation (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Cancer Research (259 citations), Hepatology (41 citations), Endocrinology, Diabetes and Metabolism (66 citations), Molecular Biology (292 citations) and Health Informatics (4 citations). Yun He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gang Chen, Peng Lin, Dong‐yue Wen, Hong Yang, Xinjian Lin, Junqiang Chen, Hong Yang, Denghua Pan, Wannan Chen and Wei Liu. Their work appears in journals such as Oncotarget, Cellular Physiology and Biochemistry, Oncology Reports, Hormone and Metabolic Research and Journal of Virology.
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.