Han Win Tun
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Glioma Diagnosis and Treatment
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 49
- Chronic Lymphocytic Leukemia Research 34
- Glioma Diagnosis and Treatment 15
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- Lymphoma Diagnosis and Treatment 62
- Co-authors
- Christina A. Von Roemeling (18 shared papers)John Alton Copland (21 shared papers)Laura A. Marlow (15 shared papers)Simon JR Cooper (8 shared papers)May Win Naing (1 shared paper)Tianyi Wang (1 shared paper)Deepak Choudhury (1 shared paper)Kevin J. Wu (4 shared papers)
- Journals
- Blood (17 papers)Oncotarget (4 papers)Transplantation and Cellular Therapy (4 papers)American Journal of Hematology (4 papers)MedChemComm (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Han Win Tun
124 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 112
- Genetics 471
- Pathology and Forensic Medicine 681
- Cancer Research 456
- Neurology 459
- Oncology 520
Countries citing papers authored by Han Win Tun
This map shows the geographic impact of Han Win Tun'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 Win Tun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Win Tun more than expected).
Fields of papers citing papers by Han Win Tun
This network shows the impact of papers produced by Han Win Tun. 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 Win Tun. The network helps show where Han Win Tun may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Win Tun, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 236 | |
| 2 | 2013 | 234 | |
| 3 | 2016 | 231 | |
| 4 | 2014 | 161 | |
| 5 | 2010 | 158 | |
| 6 | 2008 | 141 | |
| 7 | 2015 | 137 | |
| 8 | 2001 | 128 | |
| 9 | 2018 | 108 | |
| 10 | 2015 | 96 | |
| 11 | 2013 | 86 | |
| 12 | 2002 | 73 | |
| 13 | 2018 | 71 | |
| 14 | 2013 | 67 | |
| 15 | 2019 | 56 | |
| 16 | 2012 | 54 | |
| 17 | 2021 | 54 | |
| 18 | 2007 | 41 | |
| 19 | 2008 | 40 | |
| 20 | 2010 | 40 |
About Han Win Tun
Han Win Tun is a scholar working on Genetics, Pathology and Forensic Medicine, Neurology, Oncology and Hematology, having authored 134 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (62 papers), Chronic Lymphocytic Leukemia Research (34 papers), CNS Lymphoma Diagnosis and Treatment (33 papers), Glioma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (11 papers), CAR-T cell therapy research (8 papers), Cutaneous lymphoproliferative disorders research (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Genetics (471 citations), Pathology and Forensic Medicine (681 citations), Cancer Research (456 citations), Neurology (459 citations) and Oncology (520 citations). Han Win Tun has collaborated with scholars based in United States, China and France. Frequent co-authors include Christina A. Von Roemeling, John Alton Copland, Laura A. Marlow, Simon JR Cooper, May Win Naing, Tianyi Wang, Deepak Choudhury, Kevin J. Wu, Thomas R. Caulfield and David M. Menke. Their work appears in journals such as Blood, Oncotarget, Transplantation and Cellular Therapy, American Journal of Hematology and MedChemComm.
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.