Jin Won Lee

495 citations
10 papers · 305 · h-index 7

Impact in

    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Hematopoietic Stem Cell Transplantation

Papers in

Jin Won Lee

10 papers receiving 297 citations

Peers

Jin Won Lee
Comparison fields: 5 of 44
  • Oncology 135
  • Hematology 32
  • Pulmonary and Respiratory Medicine 60
  • Public Health, Environmental and Occupational Health 41
  • Radiology, Nuclear Medicine and Imaging 32
Replace Rakesh Surapaneni with:
Rakesh Surapaneni United States
Mintallah Haider United States
Kozo Masuda Japan
H.A. Phillips United Kingdom
Maurizio Leoni Italy
Kateřina Steinerová Czechia
Vincenzo Accurso Italy
Tariq U. Azam United States
Mohammed Al‐Hamadani United States
F. Fiedler Germany
Jin Won Lee relative to Rakesh Surapaneni United States Rakesh Surapaneni's profile →
Citations per field
00.5×3.2×
Rakesh Surapaneni · 1×
Citations per year

Countries citing papers authored by Jin Won Lee

Since Specialization
Citations

This map shows the geographic impact of Jin Won Lee'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 Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Won Lee more than expected).

Fields of papers citing papers by Jin Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Won Lee. 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 Won Lee. The network helps show where Jin Won Lee may publish in the future.

Co-authors

The 19 scholars most cited alongside Jin Won Lee, 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 Won Lee Line = papers co-authored together Jin Won Lee links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2015146
2 201550
3 201531
4 201722
5 201617
6 201615
7 201512
8 20156
9 20234
10 20202

About Jin Won Lee

Jin Won Lee is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (2 papers), Gastric Cancer Management and Outcomes (2 papers), Glaucoma and retinal disorders (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper), Ophthalmology and Eye Disorders (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Oncology (135 citations), Hematology (32 citations), Pulmonary and Respiratory Medicine (60 citations), Public Health, Environmental and Occupational Health (41 citations) and Radiology, Nuclear Medicine and Imaging (32 citations). Jin Won Lee has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Kyo Young Song, Cho Hyun Park, Han Mo Yoo, Eun Young Kim, Young Joon Lee, Moon Hyung Choi, Eun Young Kim, Sunhee Lee, Se Lee and Sang Ho Lee. Their work appears in journals such as BMC Cancer, Bone Marrow Transplantation, Lipids in Health and Disease, Annals of Surgical Oncology and Medicine.

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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