Jin Roh
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Chan-Sik Park (21 shared papers)So‐Woon Kim (7 shared papers)Jooryung Huh (11 shared papers)Chul‐Ho Kim (8 shared papers)Jeon Yeob Jang (7 shared papers)Yoo Seob Shin (3 shared papers)Cheolwon Suh (8 shared papers)Gyungyub Gong (2 shared papers)
- Journals
- Scientific Reports (9 papers)Frontiers in Oncology (3 papers)Cancer Research and Treatment (2 papers)Gastrointestinal Endoscopy (2 papers)Journal of Clinical Pathology (2 papers)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Jin Roh
68 papers receiving 1.2k citations
Jin Roh's Hit Papers
Peers
Comparison fields: 5 of 120
- Oncology 430
- Cancer Research 171
- Immunology 230
- Health Informatics 13
- Pathology and Forensic Medicine 140
Countries citing papers authored by Jin Roh
This map shows the geographic impact of Jin Roh'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 Jin Roh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Roh more than expected).
Fields of papers citing papers by Jin Roh
This network shows the impact of papers produced by Jin Roh. 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 Jin Roh. The network helps show where Jin Roh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Roh, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 292 | |
| 2 | 2016 | 99 | |
| 3 | Single-cell transcriptome profiling of the stepwise progression of head and neck cancer Hit paper breakdown → | 2023 | 93 |
| 4 | 2013 | 58 | |
| 5 | 2020 | 32 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 29 | |
| 8 | 2014 | 29 | |
| 9 | 2018 | 27 | |
| 10 | 2007 | 27 | |
| 11 | 2014 | 27 | |
| 12 | 2021 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2024 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 16 |
About Jin Roh
Jin Roh is a scholar working on Oncology, Surgery, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Gastric Cancer Management and Outcomes (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Genomics and Diagnostics (6 papers), CAR-T cell therapy research (5 papers), Head and Neck Cancer Studies (5 papers), Immunotherapy and Immune Responses (5 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). The work is most often cited by research in Oncology (430 citations), Cancer Research (171 citations), Immunology (230 citations), Health Informatics (13 citations) and Pathology and Forensic Medicine (140 citations). Jin Roh has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Chan-Sik Park, So‐Woon Kim, Jooryung Huh, Chul‐Ho Kim, Jeon Yeob Jang, Yoo Seob Shin, Cheolwon Suh, Gyungyub Gong, Yun Sang Lee and Dok Hyun Yoon. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Cancer Research and Treatment, Gastrointestinal Endoscopy and Journal of Clinical Pathology.
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.