Cheolwon Suh
Impact in
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment
- Oncology top 0.5%
- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 233
- Oncology 167
- Viral-associated cancers and disorders 74
- Peptidase Inhibition and Analysis 20
- Co-authors
- Dok Hyun Yoon (170 shared papers)Jooryung Huh (139 shared papers)Won Seog Kim (89 shared papers)Dae Ho Lee (57 shared papers)Seok Jin Kim (75 shared papers)Jin Seok Kim (67 shared papers)Young Wha Koh (21 shared papers)Kihyun Kım (42 shared papers)
- Journals
- Blood (64 papers)Annals of Hematology (44 papers)Journal of Korean Medical Science (17 papers)Cancer Research and Treatment (14 papers)Journal of Clinical Oncology (12 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Cheolwon Suh
395 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 116
- Pathology and Forensic Medicine 4.4k
- Oncology 3.6k
- Genetics 943
- Hematology 858
- Neurology 893
Countries citing papers authored by Cheolwon Suh
This map shows the geographic impact of Cheolwon Suh'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 Cheolwon Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheolwon Suh more than expected).
Fields of papers citing papers by Cheolwon Suh
This network shows the impact of papers produced by Cheolwon Suh. 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 Cheolwon Suh. The network helps show where Cheolwon Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheolwon Suh, 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 415 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 490 | |
| 2 | 2011 | 432 | |
| 3 | 1993 | 310 | |
| 4 | 2009 | 258 | |
| 5 | 2009 | 181 | |
| 6 | 2010 | 155 | |
| 7 | 2013 | 121 | |
| 8 | 2010 | 111 | |
| 9 | 2010 | 107 | |
| 10 | 2014 | 103 | |
| 11 | 2008 | 102 | |
| 12 | 2011 | 102 | |
| 13 | 2012 | 99 | |
| 14 | 2012 | 89 | |
| 15 | 2013 | 80 | |
| 16 | 2015 | 72 | |
| 17 | 2004 | 71 | |
| 18 | 2010 | 67 | |
| 19 | 2008 | 66 | |
| 20 | 2007 | 62 |
About Cheolwon Suh
Cheolwon Suh is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Neurology, having authored 415 papers that have together received 8.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (233 papers), Viral-associated cancers and disorders (74 papers), Multiple Myeloma Research and Treatments (68 papers), CNS Lymphoma Diagnosis and Treatment (51 papers), Chronic Lymphocytic Leukemia Research (51 papers), Lung Cancer Treatments and Mutations (25 papers), Peptidase Inhibition and Analysis (20 papers) and Protein Degradation and Inhibitors (19 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.4k citations), Oncology (3.6k citations), Genetics (943 citations), Hematology (858 citations) and Neurology (893 citations). Cheolwon Suh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dok Hyun Yoon, Jooryung Huh, Won Seog Kim, Dae Ho Lee, Seok Jin Kim, Jin Seok Kim, Young Wha Koh, Kihyun Kım, Chan-Sik Park and Young Hyeh Ko. Their work appears in journals such as Blood, Annals of Hematology, Journal of Korean Medical Science, Cancer Research and Treatment and Journal of Clinical Oncology.
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.