Han M. Shen
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 13
- Glioma Diagnosis and Treatment 13
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Eric K.C. Hau (14 shared papers)Kerrie Leanne McDonald (7 shared papers)Pierre J. Dilda (5 shared papers)Swapna Mahurkar Joshi (4 shared papers)Geraldine Margaret O’Neill (4 shared papers)Kristina M. Cook (8 shared papers)Harriet E. Gee (5 shared papers)Feng Shii Tang (7 shared papers)
In The Last Decade
Han M. Shen
36 papers receiving 888 citations
Peers
Comparison fields: 5 of 51
- Genetics 157
- Cancer Research 125
- Molecular Biology 193
- Biochemistry 9
- Endocrine and Autonomic Systems 10
Countries citing papers authored by Han M. Shen
This map shows the geographic impact of Han M. Shen'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 Han M. Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han M. Shen more than expected).
Fields of papers citing papers by Han M. Shen
This network shows the impact of papers produced by Han M. Shen. 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 Han M. Shen. The network helps show where Han M. Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Han M. Shen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 118 | |
| 2 | 2013 | 113 | |
| 3 | 2020 | 102 | |
| 4 | 2019 | 61 | |
| 5 | 2015 | 52 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 44 | |
| 8 | 2017 | 35 | |
| 9 | 2014 | 32 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 32 | |
| 12 | 2013 | 27 | |
| 13 | 2014 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2013 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2020 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2011 | 15 | |
| 20 | 2018 | 13 |
About Han M. Shen
Han M. Shen is a scholar working on Genetics, Cancer Research, Molecular Biology, Internal Medicine and Oncology, having authored 39 papers that have together received 897 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Hedgehog Signaling Pathway Studies (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), Synthesis and biological activity (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Innovations in Medical Education (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Genetics (157 citations), Cancer Research (125 citations), Molecular Biology (193 citations), Biochemistry (9 citations) and Endocrine and Autonomic Systems (10 citations). Han M. Shen has collaborated with scholars based in Australia, China and France. Frequent co-authors include Eric K.C. Hau, Kerrie Leanne McDonald, Pierre J. Dilda, Swapna Mahurkar Joshi, Geraldine Margaret O’Neill, Kristina M. Cook, Harriet E. Gee, Feng Shii Tang, Jun Wen and Minhang Xin. Their work appears in journals such as Neuro-Oncology, Bioorganic & Medicinal Chemistry Letters, Journal of Experimental & Clinical Cancer Research, Molecular Cancer Therapeutics and Bioorganic & Medicinal Chemistry.
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.