Wan He
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
-
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
-
- Genetic factors in colorectal cancer 7
- Co-authors
- Ruilian Xu (12 shared papers)Pan Zhao (2 shared papers)Jumei Shi (4 shared papers)Xiaosong Wu (3 shared papers)Liangning Hu (4 shared papers)Gege Chen (4 shared papers)Changsheng Ye (1 shared paper)Jie Wang (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Frontiers in Oncology (3 papers)OncoTargets and Therapy (2 papers)Cancer Cell International (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wan He
32 papers receiving 428 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 104
- Oncology 106
- Pathology and Forensic Medicine 54
- Hematology 31
- Molecular Biology 169
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 | 66 | |
| 2 | 2020 | 40 | |
| 3 | 2018 | 40 | |
| 4 | 2013 | 36 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Wan He
Wan He is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 431 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), MicroRNA in disease regulation (3 papers), Head and Neck Cancer Studies (2 papers), Cancer-related gene regulation (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (104 citations), Oncology (106 citations), Pathology and Forensic Medicine (54 citations), Hematology (31 citations) and Molecular Biology (169 citations). Wan He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ruilian Xu, Pan Zhao, Jumei Shi, Xiaosong Wu, Liangning Hu, Gege Chen, Changsheng Ye, Jie Wang, Xiaolei Hu and Lu Kang. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, OncoTargets and Therapy, Cancer Cell International and PLoS ONE.
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.