Tae Sun Shim

13.0k citations
356 papers · 7.3k indexed · h-index 42
Topics
Tuberculosis Research and Epidemiology (172 papers)Mycobacterium research and diagnosis (151 papers)Infectious Diseases and Tuberculosis (63 papers)
Journals
Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Tae Sun Shim

337 papers receiving 7.2k citations

Peers

Tae Sun Shim
Comparison fields: 5 of 153
  • Epidemiology 3.7k
  • Infectious Diseases 3.4k
  • Pulmonary and Respiratory Medicine 2.4k
  • Surgery 2.1k
  • Small Animals 780
Replace Andrew H. Limper with:
Andrew H. Limper United States
George A. Sarosi United States
Marc A. Judson United States
Young Ae Kang South Korea
Li‐Na Lee Taiwan
Patricia Ribaud France
Diana Bilton United Kingdom
Vicki A. Morrison United States
Jann‐Yuan Wang Taiwan
O Jung Kwon South Korea
Tae Sun Shim relative to Andrew H. Limper United States Andrew H. Limper's profile →
Citations per field
00.5×4.3×
Andrew H. Limper · 1×
Citations per year

Countries citing papers authored by Tae Sun Shim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Sun Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Sun Shim. 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 Tae Sun Shim. The network helps show where Tae Sun Shim may publish in the future.

Co-authorship network of co-authors of Tae Sun Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Sun Shim. A scholar is included among the top collaborators of Tae Sun Shim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae Sun Shim. Tae Sun Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 3
5 0
6 4
7 6
8 4
9 5
10 3
11 3
12 1
13 16
14 18
15 3
16 12
17 9
18 29
19 134
20 1

About Tae Sun Shim

Tae Sun Shim is a scholar working on Infectious Diseases, Epidemiology and Small Animals, having authored 356 papers that have together received 7.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (172 papers), Mycobacterium research and diagnosis (151 papers) and Infectious Diseases and Tuberculosis (63 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Small Animals (780 citations) and Epidemiology (3.7k citations). Tae Sun Shim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sang‐Do Lee, Kyung‐Wook Jo, Woo Sung Kim, Younsuck Koh, Dong Soon Kim, Chae‐Man Lim, Won Dong Kim, Yeon‐Mok Oh, Ian M. Orme and Sang‐Bum Hong. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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