Sang‐Won Um

4.8k citations
161 papers · 3.6k · h-index 32

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 55
    • Lung Cancer Treatments and Mutations 22
    • Tracheal and airway disorders 21
    • Medical Imaging and Pathology Studies 7
    • Lung Cancer Research Studies 8

Sang‐Won Um

158 papers receiving 3.5k citations

Peers

Sang‐Won Um
Comparison fields: 5 of 100
  • Microbiology 69
  • Pulmonary and Respiratory Medicine 1.9k
  • Infectious Diseases 430
  • Anesthesiology and Pain Medicine 93
  • Critical Care and Intensive Care Medicine 81
Replace Hyae Young Kim with:
Hyae Young Kim South Korea
Michael A. Jantz United States
Yung-Chie Lee Taiwan
Diane C. Strollo United States
Masanori Akira Japan
Rex Yung United States
Santiago Enrique Rossi United States
Rocco Trisolini Italy
Chul‐Gyu Yoo South Korea
Nikolaus Roos Germany
Sang‐Won Um relative to Hyae Young Kim South Korea Hyae Young Kim's profile →
Citations per field
00.5×2×4×5.5×
Hyae Young Kim · 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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013229
2 2015160
3 2009154
4 2012137
5 2006136
6 2007110
7 2012107
8 200484
9 201079
10 201578
11 201478
12 201077
13 201676
14 201057
15 202355
16 201452
17 201050
18 200950
19 201249
20 201045

About Sang‐Won Um

Sang‐Won Um is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Surgery and Epidemiology, having authored 161 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (55 papers), Lung Cancer Treatments and Mutations (22 papers), Tracheal and airway disorders (21 papers), Lung Cancer Research Studies (8 papers), Cancer Genomics and Diagnostics (7 papers), Medical Imaging and Pathology Studies (7 papers), Mycobacterium research and diagnosis (6 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Microbiology (69 citations), Pulmonary and Respiratory Medicine (1.9k citations), Infectious Diseases (430 citations), Anesthesiology and Pain Medicine (93 citations) and Critical Care and Intensive Care Medicine (81 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, Translational Lung Cancer Research, Respirology and CHEST Journal.

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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