Seung‐Mo Hong
Impact in
- Oncology top 0.2%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Co-authors
- Michael Goggins (43 shared papers)Ralph H. Hruban (42 shared papers)Anirban Maitra (20 shared papers)Eunsil Yu (44 shared papers)Noriyuki Omura (17 shared papers)Joo Young Kim (16 shared papers)Song Cheol Kim (54 shared papers)Michael Borges (9 shared papers)
- Journals
- The American Journal of Surgical Pathology (15 papers)Human Pathology (15 papers)Modern Pathology (14 papers)Clinical Cancer Research (12 papers)Histopathology (10 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Seung‐Mo Hong
369 papers receiving 11.4k citations
Seung‐Mo Hong's Hit Papers
Peers
Comparison fields: 5 of 154
- Oncology 5.5k
- Cancer Research 2.1k
- Surgery 3.0k
- Epidemiology 1.7k
- Hepatology 357
Countries citing papers authored by Seung‐Mo Hong
This map shows the geographic impact of Seung‐Mo Hong'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 Seung‐Mo Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Mo Hong more than expected).
Fields of papers citing papers by Seung‐Mo Hong
This network shows the impact of papers produced by Seung‐Mo Hong. 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 Seung‐Mo Hong. The network helps show where Seung‐Mo Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Seung‐Mo Hong, 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 380 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Presence of Somatic Mutations in Most Early-Stage Pancreatic Intraepithelial Neoplasia Hit paper breakdown → | 2012 | 563 |
| 2 | 2010 | 359 | |
| 3 | 2009 | 323 | |
| 4 | 2009 | 256 | |
| 5 | 2010 | 240 | |
| 6 | 2007 | 228 | |
| 7 | 2018 | 211 | |
| 8 | 2010 | 188 | |
| 9 | 2011 | 184 | |
| 10 | 2010 | 148 | |
| 11 | 2008 | 148 | |
| 12 | 2017 | 145 | |
| 13 | 2010 | 140 | |
| 14 | 2011 | 139 | |
| 15 | 2011 | 124 | |
| 16 | 2010 | 114 | |
| 17 | 2016 | 111 | |
| 18 | 2016 | 106 | |
| 19 | 2004 | 101 | |
| 20 | 2014 | 100 |
About Seung‐Mo Hong
Seung‐Mo Hong is a scholar working on Oncology, Surgery, Epidemiology, Molecular Biology and Cancer Research, having authored 380 papers that have together received 11.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (116 papers), Neuroendocrine Tumor Research Advances (67 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (53 papers), Cancer Genomics and Diagnostics (18 papers), Lung Cancer Research Studies (18 papers), Neuroblastoma Research and Treatments (15 papers), Cancer Cells and Metastasis (15 papers) and Gastrointestinal Tumor Research and Treatment (15 papers). The work is most often cited by research in Oncology (5.5k citations), Cancer Research (2.1k citations), Surgery (3.0k citations), Epidemiology (1.7k citations) and Hepatology (357 citations). Seung‐Mo Hong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Michael Goggins, Ralph H. Hruban, Anirban Maitra, Eunsil Yu, Noriyuki Omura, Joo Young Kim, Song Cheol Kim, Michael Borges, Jae Y. Ro and Ki Byung Song. Their work appears in journals such as The American Journal of Surgical Pathology, Human Pathology, Modern Pathology, Clinical Cancer Research and Histopathology.
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.