Taeksun Song

3.1k citations
34 papers · 1.3k indexed · h-index 17
Topics
Tuberculosis Research and Epidemiology (23 papers)Mycobacterium research and diagnosis (13 papers)Biochemical and Molecular Research (5 papers)

In The Last Decade

Taeksun Song

31 papers receiving 1.3k citations

Peers

Taeksun Song
Comparison fields: 5 of 109
  • Infectious Diseases 843
  • Epidemiology 699
  • Molecular Biology 505
  • Surgery 219
  • Genetics 140
Replace Sang Nae Cho with:
Sang Nae Cho South Korea
John Adamson South Africa
Zofia Zwolska Poland
Radha Krishan Shandil India
Firat Kaya United States
B.W. Allen United Kingdom
David F. Ackart United States
Jorge Ramos Portugal
Carolyn Shoen United States
Si-Yang Li United States
Taeksun Song relative to Sang Nae Cho South Korea Sang Nae Cho's profile →
Citations per field
00.5×2.6×
Sang Nae Cho · 1×
Citations per year

Countries citing papers authored by Taeksun Song

Since Specialization
Citations

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

Fields of papers citing papers by Taeksun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taeksun Song. 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 Taeksun Song. The network helps show where Taeksun Song may publish in the future.

Co-authorship network of co-authors of Taeksun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Taeksun Song. A scholar is included among the top collaborators of Taeksun Song 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 Taeksun Song. Taeksun Song 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 10
2 0
3 0
4 31
5 9
6 92
7 29
8 337
9 8
10 57
11 2
12
23S rRNA mutations in linezolid-resistant clinical isolates of M. tuberculosis: A report of two cases
0
13 13
14 23
15 58
16 9
17 85
18
Reclassification of a Carboxydobacterium, Acinetobacter sp. Strain JC1 DSM3803, as Mycobacterium sp. Strain JC1 DSM 3803
13
19 1
20 13

About Taeksun Song

Taeksun Song is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (13 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Infectious Diseases (843 citations), Molecular Medicine (120 citations) and Epidemiology (699 citations). Taeksun Song has collaborated with scholars based in South Korea, United States and South Africa. Frequent co-authors include Robert N. Husson, Sahadevan Raman, Stoyan Bardarov, Clifton E. Barry, Xiaoling Puyang, William R. Jacobs, Laura E. Via, Myungsun Lee, Sang Nae Cho and Véronique Dartois. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Molecular Biology.

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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