Wan He
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
-
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
Papers in
-
- Cancer-related gene regulation 4
- Glycosylation and Glycoproteins Research 3
- Oncology 12
- Colorectal Cancer Treatments and Studies 4
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Ruilian Xu (12 shared papers)Xiaosong Wu (3 shared papers)Liangning Hu (4 shared papers)Pan Zhao (2 shared papers)Jie Wang (1 shared paper)Changsheng Ye (1 shared paper)Jumei Shi (4 shared papers)Gege Chen (4 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Journal of Clinical Oncology (3 papers)OncoTargets and Therapy (2 papers)Clinical & Translational Oncology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wan He
32 papers receiving 415 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 127
- Oncology 146
- Pathology and Forensic Medicine 80
- Hematology 34
- Molecular Biology 197
Countries citing papers authored by Wan He
This map shows the geographic impact of Wan 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 Wan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan He more than expected).
Fields of papers citing papers by Wan He
This network shows the impact of papers produced by Wan 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 Wan He. The network helps show where Wan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2018 | 40 | |
| 3 | 2020 | 40 | |
| 4 | 2013 | 36 | |
| 5 | 2018 | 28 | |
| 6 | 2018 | 28 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2018 | 5 |
About Wan He
Wan He is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 33 papers that have together received 420 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (8 papers), Cancer Genomics and Diagnostics (5 papers), Colorectal Cancer Treatments and Studies (4 papers), MicroRNA in disease regulation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer-related gene regulation (4 papers), Cancer-related molecular mechanisms research (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cancer Research (127 citations), Oncology (146 citations), Pathology and Forensic Medicine (80 citations), Hematology (34 citations) and Molecular Biology (197 citations). Wan He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ruilian Xu, Xiaosong Wu, Liangning Hu, Pan Zhao, Jie Wang, Changsheng Ye, Jumei Shi, Gege Chen, Xiaolei Hu and Huiqun Wu. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, OncoTargets and Therapy, Clinical & Translational Oncology and Cell Death and Disease.
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.