Sang‐Won Um

4.7k citations
158 papers · 3.3k · h-index 29

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 53
    • Lung Cancer Treatments and Mutations 21
    • Tracheal and airway disorders 20
    • Medical Imaging and Pathology Studies 7
    • Brain Metastases and Treatment 5
    • Lung Cancer Research Studies 7

Sang‐Won Um

153 papers receiving 3.2k citations

Peers

Sang‐Won Um
Comparison fields: 5 of 98
  • Microbiology 66
  • Pulmonary and Respiratory Medicine 1.7k
  • Infectious Diseases 401
  • Critical Care and Intensive Care Medicine 70
  • Epidemiology 483
Replace Gilbert Massard with:
Gilbert Massard France
Hyae Young Kim South Korea
Jung-Gi Im South Korea
Sudish C. Murthy United States
Daniel Steinfort Australia
Jeremy J. Erasmus United States
Masanori Akira Japan
Michael A. Jantz United States
Yung-Chie Lee Taiwan
Diane C. Strollo United States
Sang‐Won Um relative to Gilbert Massard France Gilbert Massard's profile →
Citations per field
00.5×3.3×
Gilbert Massard · 1×
Citations per year

Countries citing papers authored by Sang‐Won Um

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Won Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Won Um. 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 Sang‐Won Um. The network helps show where Sang‐Won Um may publish in the future.

Co-authors

The 25 scholars most cited alongside Sang‐Won Um, 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 Sang‐Won Um Line = papers co-authored together Sang‐Won Um links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013204
2 2009145
3 2015142
4 2006129
5 2012126
6 2007105
7 2012105
8 201074
9 201574
10 200474
11 201672
12 201471
13 201068
14 201053
15 200949
16 201048
17 201246
18 201445
19 201043
20 202342

About Sang‐Won Um

Sang‐Won Um is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Epidemiology and Infectious Diseases, having authored 158 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (53 papers), Lung Cancer Treatments and Mutations (21 papers), Tracheal and airway disorders (20 papers), Lung Cancer Research Studies (7 papers), Mycobacterium research and diagnosis (7 papers), Medical Imaging and Pathology Studies (7 papers), Cancer Genomics and Diagnostics (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Microbiology (66 citations), Pulmonary and Respiratory Medicine (1.7k citations), Infectious Diseases (401 citations), Critical Care and Intensive Care Medicine (70 citations) and Epidemiology (483 citations). Sang‐Won Um has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hojoong Kim, O Jung Kwon, Man Pyo Chung, Gee Young Suh, Kyeongman Jeon, Joungho Han, Won‐Jung Koh, Young Mog Shim, Kyung Soo Lee and Byeong‐Ho Jeong. Their work appears in journals such as Lung Cancer, Journal of Korean Medical Science, CHEST Journal, PLoS ONE and Translational Lung Cancer Research.

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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