Jin Roh

69 papers receiving 1.3k citations

Jin Roh's Hit Papers

Single-cell transcriptome profiling of the stepwise progression of head and neck cancer 2023 · 101 citations
1010+1+2Years since publication255075100

Peers

Jin Roh
Comparison fields: 5 of 114
  • Oncology 376
  • Cancer Research 137
  • Immunology 190
  • Otorhinolaryngology 30
  • Pathology and Forensic Medicine 122
Replace Heather Dawson with:
Heather Dawson Switzerland
George Jour United States
Yu Sun China
Hong Zhu China
Jasreman Dhillon United States
Michael Bockmayr Germany
Carolin Mogler Germany
Pietro Luzi Italy
Marieta Toma Germany
Stephanie G. Craig United Kingdom
Jin Roh relative to Heather Dawson Switzerland Heather Dawson's profile →
Citations per field
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Heather Dawson · 1×
Citations per year

Countries citing papers authored by Jin Roh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jin Roh Line = papers co-authored together Jin Roh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016316
2
Single-cell transcriptome profiling of the stepwise progression of head and neck cancer
Hit paper breakdown →
2023101
3 2016100
4 201360
5 202036
6 201531
7 201631
8 201430
9 201829
10 200729
11 201429
12 202223
13 201922
14 202122
15 201322
16 202021
17 202419
18 202418
19 202018
20 202417

About Jin Roh

Jin Roh is a scholar working on Oncology, Pathology and Forensic Medicine, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Gastric Cancer Management and Outcomes (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Genomics and Diagnostics (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers), Head and Neck Cancer Studies (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Oncology (376 citations), Cancer Research (137 citations), Immunology (190 citations), Otorhinolaryngology (30 citations) and Pathology and Forensic Medicine (122 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, Hee Jin Lee, Dok Hyun Yoon and Gyungyub Gong. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Anticancer Research, Journal of Clinical Pathology and Oncotarget.

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.

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