Taeksun Song

3.1k total citations
34 papers, 1.3k citations indexed

About

Taeksun Song is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Taeksun Song has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 14 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Taeksun Song's work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (13 papers) and Biochemical and Molecular Research (5 papers). Taeksun Song is often cited by papers focused on Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (13 papers) and Biochemical and Molecular Research (5 papers). Taeksun Song collaborates with scholars based in South Korea, United States and South Africa. Taeksun Song's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Molecular Biology.

In The Last Decade

Taeksun Song

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taeksun Song South Korea 17 843 699 505 219 140 34 1.3k
Sang Nae Cho South Korea 15 1.1k 1.3× 828 1.2× 405 0.8× 359 1.6× 54 0.4× 28 1.4k
John Adamson South Africa 22 853 1.0× 613 0.9× 585 1.2× 135 0.6× 45 0.3× 34 1.5k
Radha Krishan Shandil India 15 729 0.9× 468 0.7× 442 0.9× 147 0.7× 59 0.4× 40 1.1k
Zofia Zwolska Poland 23 1.1k 1.3× 945 1.4× 332 0.7× 470 2.1× 26 0.2× 156 1.9k
Caroline Perry United States 19 343 0.4× 272 0.4× 657 1.3× 216 1.0× 54 0.4× 48 1.8k
David F. Ackart United States 16 634 0.8× 502 0.7× 275 0.5× 188 0.9× 36 0.3× 31 1.1k
B.W. Allen United Kingdom 21 1.7k 2.1× 1.6k 2.3× 535 1.1× 695 3.2× 81 0.6× 40 2.4k
Firat Kaya United States 15 688 0.8× 471 0.7× 367 0.7× 168 0.8× 34 0.2× 30 947
Catherine Raynaud France 8 495 0.6× 433 0.6× 281 0.6× 87 0.4× 41 0.3× 11 714
Jorge Ramos Portugal 13 517 0.6× 444 0.6× 376 0.7× 122 0.6× 37 0.3× 26 901

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
1.
Verma, Renu, Késia Esther da Silva, Neesha Rockwood, et al.. (2024). A Nanopore Sequencing-based Pharmacogenomic Panel to Personalize Tuberculosis Drug Dosing. American Journal of Respiratory and Critical Care Medicine. 209(12). 1486–1496. 10 indexed citations
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Wasserman, Sean, Gail Louw, Cindy Hayes, et al.. (2019). Linezolid resistance in patients with drug-resistant TB and treatment failure in South Africa. Journal of Antimicrobial Chemotherapy. 74(8). 2377–2384. 31 indexed citations
5.
6.
Song, Taeksun, Myungsun Lee, Yumi Park, et al.. (2015). Linezolid Trough Concentrations Correlate with Mitochondrial Toxicity-Related Adverse Events in the Treatment of Chronic Extensively Drug-Resistant Tuberculosis. EBioMedicine. 2(11). 1627–1633. 92 indexed citations
7.
Han, Seung Jung, Taeksun Song, Yong‐Joon Cho, et al.. (2015). Complete genome sequence of Mycobacterium tuberculosis K from a Korean high school outbreak, belonging to the Beijing family. Standards in Genomic Sciences. 10(1). 78–78. 29 indexed citations
8.
Prideaux, Brendan, Laura E. Via, Matthew Zimmerman, et al.. (2015). The association between sterilizing activity and drug distribution into tuberculosis lesions. Nature Medicine. 21(10). 1223–1227. 337 indexed citations
9.
Park, Paul J., Ah Reum Kim, Taeksun Song, et al.. (2014). Characterization of a novel antigen of Mycobacterium tuberculosis K strain and its use in immunodiagnosis of tuberculosis. The Journal of Microbiology. 52(10). 871–878. 8 indexed citations
10.
Choi, Hongjo, Myungsun Lee, Ray Y. Chen, et al.. (2014). Predictors of pulmonary tuberculosis treatment outcomes in South Korea: a prospective cohort study, 2005-2012. BMC Infectious Diseases. 14(1). 360–360. 57 indexed citations
11.
Song, Taeksun, et al.. (2014). Extent ofMycobacterium bovisinfection in dairy cattle herds subject to partial culling as determined by an interferon-gamma assay. Journal of Veterinary Science. 15(2). 259–259. 2 indexed citations
12.
Lee, Myungsun & Taeksun Song. (2013). 23S rRNA mutations in linezolid-resistant clinical isolates of M. tuberculosis: A report of two cases. 42. 4428.
13.
Carroll, Miles W., Hongjo Choi, Seung‐Ki Min, et al.. (2012). Rhabdomyolysis in a Patient Treated With Linezolid for Extensively Drug-Resistant Tuberculosis. Clinical Infectious Diseases. 54(11). 1624–1627. 13 indexed citations
14.
Choi, Won Suk, Min Ja Kim, Dae Won Park, et al.. (2010). Clarithromycin and amikacin vs. clarithromycin and moxifloxacin for the treatment of post-acupuncture cutaneous infections due to Mycobacterium abscessus: a prospective observational study. Clinical Microbiology and Infection. 17(7). 1084–1090. 23 indexed citations
15.
Song, Taeksun, et al.. (2009). An outbreak of skin and soft tissue infection caused by Mycobacterium abscessus following acupuncture. Clinical Microbiology and Infection. 16(7). 895–901. 58 indexed citations
16.
Hah, Young‐Sool, et al.. (2005). RshA mimetic peptides inhibiting the transcription driven by a Mycobacterium tuberculosis sigma factor SigH. Biochemical and Biophysical Research Communications. 339(1). 392–398. 9 indexed citations
17.
Song, Taeksun, et al.. (2003). RshA, an anti‐sigma factor that regulates the activity of the mycobacterial stress response sigma factor SigH. Molecular Microbiology. 50(3). 949–959. 85 indexed citations
18.
Song, Taeksun, Hyeyoung Lee, Jung-Ik Ha, et al.. (2002). Reclassification of a Carboxydobacterium, Acinetobacter sp. Strain JC1 DSM3803, as Mycobacterium sp. Strain JC1 DSM 3803. The Journal of Microbiology. 40(3). 237–240. 13 indexed citations
19.
Song, Taeksun, et al.. (1996). Transformation of Methylotrophic Bacteria by Electroporation of pRO1727 Plasmid from Pseudomonas aeruginosa. Molecules and Cells. 6(2). 225–228. 1 indexed citations
20.
Song, Taeksun & Chankyu Park. (1995). Effect of Folding on the Export of Ribose-binding Protein Studied with the Genetically Isolated Suppressors for the Signal Sequence Mutation. Journal of Molecular Biology. 253(2). 304–312. 13 indexed citations

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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