Seong‐Beom Lee

2.6k citations
65 papers · 2.1k indexed · h-index 25

Impact in

Papers in

Seong‐Beom Lee

64 papers receiving 2.1k citations

Peers

Seong‐Beom Lee
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 484
  • Immunology 385
  • Infectious Diseases 262
  • Molecular Biology 960
  • Epidemiology 388
Replace Fang Sun with:
Fang Sun China
David M. Alvarado United States
Katerina Dorovini‐Zis Canada
Uwe Michel Germany
David E. Szymkowski United States
Ralph Lucius Germany
Assumpció Bosch Spain
Jennifer Robertson Canada
Zsuzsanna Fábry United States
Stefan Nessler Germany
Seong‐Beom Lee relative to Fang Sun China Fang Sun's profile →
Citations per field
00.5×1.5×2.1×
Fang Sun · 1×
Citations per year

Countries citing papers authored by Seong‐Beom Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Beom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Beom 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 Seong‐Beom Lee. The network helps show where Seong‐Beom Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20245
4 20236
5 20231
6 202143
7 20196
8 201829
9 201522
10 201313
11 201228
12 20118
13 200918
14 20079
15 200445
16 200293
17
The application of TD (Touch-Down) PCR in Diagnosis of leprosy and Detection of MDT-resistant M. leprae
20010
18 20003
19 200015
20 1997255

About Seong‐Beom Lee

Seong‐Beom Lee is a scholar working on Infectious Diseases, Immunology, Epidemiology, Pathology and Forensic Medicine and Physiology, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (14 papers), Leprosy Research and Treatment (12 papers), Ophthalmology and Eye Disorders (8 papers), Autophagy in Disease and Therapy (8 papers), Tuberculosis Research and Epidemiology (6 papers), Inflammasome and immune disorders (5 papers), Cell death mechanisms and regulation (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (484 citations), Immunology (385 citations), Infectious Diseases (262 citations), Molecular Biology (960 citations) and Epidemiology (388 citations). Seong‐Beom Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hee‐Sup Shin, Gue‐Tae Chae, Tae Jin Kang, Richard W. Tsien, De Quan Li, Stephen M. Smith, Hemin Chin, Richard H. Scheller, Abraham Solomon and S. C. G. Tseng. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Infection and Immunity, Proceedings of the National Academy of Sciences and Investigative Ophthalmology & Visual Science.

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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