Dan He
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 4
- Inflammasome and immune disorders 3
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Peng Qu (3 shared papers)Yun-Cheng Lv (1 shared paper)Xiaoqing Wang (1 shared paper)Gang Wang (1 shared paper)Dangheng Wei (1 shared paper)Lili Wang (1 shared paper)Peng Kuang (1 shared paper)Wenhao Xiong (1 shared paper)
- Journals
- Blood (2 papers)Frontiers in Immunology (2 papers)EXPERIMENTAL ANIMALS (2 papers)Cell Death and Differentiation (1 paper)The Oncologist (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan He
38 papers receiving 367 citations
Peers
Comparison fields: 5 of 72
- Physiology 27
- Cancer Research 49
- Immunology 58
- Molecular Biology 166
- Pulmonary and Respiratory Medicine 70
Countries citing papers authored by Dan He
This map shows the geographic impact of Dan 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 Dan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan He more than expected).
Fields of papers citing papers by Dan He
This network shows the impact of papers produced by Dan 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 Dan He. The network helps show where Dan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 114 | |
| 2 | 2023 | 31 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 27 | |
| 5 | 2016 | 23 | |
| 6 | 2008 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2025 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2019 | 6 | |
| 19 | [Clinicopathologic features and protein expression study of Epstein-Barr virus-associated gastric carcinoma in Guangzhou]. | 2010 | 5 |
| 20 | 1997 | 5 |
About Dan He
Dan He is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Cancer Research, having authored 40 papers that have together received 372 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), RNA modifications and cancer (4 papers), Inflammasome and immune disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Physiology (27 citations), Cancer Research (49 citations), Immunology (58 citations), Molecular Biology (166 citations) and Pulmonary and Respiratory Medicine (70 citations). Dan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peng Qu, Yun-Cheng Lv, Xiaoqing Wang, Gang Wang, Dangheng Wei, Lili Wang, Peng Kuang, Wenhao Xiong, Lu-Shan Liu and Hongyan Wang. Their work appears in journals such as Blood, Frontiers in Immunology, EXPERIMENTAL ANIMALS, Cell Death and Differentiation and The Oncologist.
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.