Man‐Hsin Hung
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Protein Tyrosine Phosphatases 7
- Metabolism, Diabetes, and Cancer 3
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 13
- Cytokine Signaling Pathways and Interactions 5
- Viral-associated cancers and disorders 4
- Co-authors
- Kuen‐Feng Chen (21 shared papers)Pei‐Yi Chu (10 shared papers)Wei‐Tien Tai (10 shared papers)Tzeng‐Ji Chen (11 shared papers)Chia‐Jen Liu (11 shared papers)Chung-Wai Shiau (9 shared papers)Yao‐Li Chen (5 shared papers)Feng‐Shu Hsieh (8 shared papers)
- Journals
- PLoS ONE (4 papers)Oncotarget (4 papers)Annals of Hematology (3 papers)Cancer Letters (2 papers)Medicine (2 papers)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Man‐Hsin Hung
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Oncology 391
- Cancer Research 199
- Hepatology 81
- Immunology 194
- Dermatology 73
Countries citing papers authored by Man‐Hsin Hung
This map shows the geographic impact of Man‐Hsin Hung'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 Man‐Hsin Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man‐Hsin Hung more than expected).
Fields of papers citing papers by Man‐Hsin Hung
This network shows the impact of papers produced by Man‐Hsin Hung. 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 Man‐Hsin Hung. The network helps show where Man‐Hsin Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Man‐Hsin Hung, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 173 | |
| 2 | 2014 | 85 | |
| 3 | 2014 | 85 | |
| 4 | 2014 | 80 | |
| 5 | 2019 | 77 | |
| 6 | 2018 | 64 | |
| 7 | 2015 | 59 | |
| 8 | 2017 | 58 | |
| 9 | 2014 | 55 | |
| 10 | 2014 | 46 | |
| 11 | 2016 | 44 | |
| 12 | 2016 | 37 | |
| 13 | 2013 | 36 | |
| 14 | 2015 | 32 | |
| 15 | 2015 | 29 | |
| 16 | 2015 | 28 | |
| 17 | 2014 | 26 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2020 | 23 |
About Man‐Hsin Hung
Man‐Hsin Hung is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Viral-associated cancers and disorders (4 papers), Galectins and Cancer Biology (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (391 citations), Cancer Research (199 citations), Hepatology (81 citations), Immunology (194 citations) and Dermatology (73 citations). Man‐Hsin Hung has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Kuen‐Feng Chen, Pei‐Yi Chu, Wei‐Tien Tai, Tzeng‐Ji Chen, Chia‐Jen Liu, Chung-Wai Shiau, Yao‐Li Chen, Feng‐Shu Hsieh, Chun‐Yu Liu and Li‐Ju Chen. Their work appears in journals such as PLoS ONE, Oncotarget, Annals of Hematology, Cancer Letters and Medicine.
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.