Ting‐Shu Wu

1.9k total citations
64 papers, 1.2k citations indexed

About

Ting‐Shu Wu is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Ting‐Shu Wu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 29 papers in Infectious Diseases and 10 papers in Surgery. Recurrent topics in Ting‐Shu Wu's work include Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (13 papers) and Infectious Diseases and Mycology (9 papers). Ting‐Shu Wu is often cited by papers focused on Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (13 papers) and Infectious Diseases and Mycology (9 papers). Ting‐Shu Wu collaborates with scholars based in Taiwan, China and United States. Ting‐Shu Wu's co-authors include Hsin‐Chih Lai, Chia‐Chen Lu, Jang‐Jih Lu, Tsu‐Lan Wu, Tzu-Lung Lin, Wei-Fan Lai, Ming‐Hsun Lee, Young-Mao Chen, Chi-Meng Tzeng and Lin‐Hui Su and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Ting‐Shu Wu

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting‐Shu Wu Taiwan 20 479 442 350 188 140 64 1.2k
Keiichi Mikasa Japan 20 309 0.6× 420 1.0× 252 0.7× 107 0.6× 79 0.6× 111 1.2k
Giovanni Matera Italy 19 285 0.6× 475 1.1× 333 1.0× 393 2.1× 112 0.8× 128 1.6k
Sung‐Yeon Cho South Korea 22 602 1.3× 683 1.5× 293 0.8× 117 0.6× 61 0.4× 99 1.7k
Jin‐Yong Jeong South Korea 24 447 0.9× 529 1.2× 286 0.8× 77 0.4× 218 1.6× 47 1.4k
Hiroshige Mikamo Japan 20 391 0.8× 585 1.3× 167 0.5× 83 0.4× 157 1.1× 170 1.3k
Jerina Boelens Belgium 20 487 1.0× 734 1.7× 279 0.8× 105 0.6× 139 1.0× 83 1.8k
Yasuhito Higashiyama Japan 21 287 0.6× 514 1.2× 268 0.8× 196 1.0× 35 0.3× 63 1.1k
Erik Sturegård Sweden 21 728 1.5× 710 1.6× 177 0.5× 160 0.9× 467 3.3× 51 1.2k
Meng‐Rui Lee Taiwan 22 895 1.9× 1.2k 2.6× 289 0.8× 137 0.7× 351 2.5× 85 1.9k
Gary Horwith United States 14 960 2.0× 614 1.4× 459 1.3× 127 0.7× 43 0.3× 17 1.5k

Countries citing papers authored by Ting‐Shu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Shu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Shu Wu. 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 Ting‐Shu Wu. The network helps show where Ting‐Shu Wu may publish in the future.

Co-authorship network of co-authors of Ting‐Shu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Shu Wu. A scholar is included among the top collaborators of Ting‐Shu Wu 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 Ting‐Shu Wu. Ting‐Shu Wu 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
2.
Chao, An‐Shine, Chiao‐Yun Lin, Meng‐Han Chiang, et al.. (2024). Metabolomic profiling of maternal plasma identifies inverse associations of acetate and urea with anti-SARS-CoV-2 antibody titers following COVID-19 vaccination during pregnancy. Journal of Molecular Medicine. 102(6). 819–830. 1 indexed citations
4.
Lin, Tzu-Lung, Ting-Wen Chen, Chih‐Wei Huang, et al.. (2022). Amelioration of Maternal Immune Activation-Induced Autism Relevant Behaviors by Gut Commensal Parabacteroides goldsteinii. International Journal of Molecular Sciences. 23(21). 13070–13070. 19 indexed citations
5.
Chen, Nan-Yu, Zhuo‐Hao Liu, Shu‐Wei Kao, et al.. (2022). Changes in interferon-γ release assay readout after COVID-19 vaccination: A prospective cohort study. International Journal of Infectious Diseases. 122. 537–542. 3 indexed citations
6.
Chiu, Cheng‐Hsun, Nan-Yu Chen, Chih‐Hung Chen, et al.. (2022). Clinical manifestations and antimicrobial susceptibility of Nocardia species at a tertiary hospital in Taiwan, 2011–2020. Journal of the Formosan Medical Association. 121(10). 2109–2122. 11 indexed citations
7.
Wu, Ting‐Shu, Ting‐Shu Wu, Nan-Yu Chen, et al.. (2022). Impact on Macrolide Resistance of Genetic Diversity of Mycobacterium abscessus Species. Microbiology Spectrum. 10(6). e0274922–e0274922. 8 indexed citations
8.
Wu, Ting‐Shu, et al.. (2022). Disseminated Mycobacterium peregrinum and Mycobacterium avium infection in a patient with AIDS: A case report and review of literature. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 27. 100314–100314. 2 indexed citations
9.
Cheng, Jur‐Shan, Tse‐Ching Chen, Tai‐Di Chen, et al.. (2022). Association between breast cancer and hepatitis C: A joint study of hospitalized patients and nationwide cohorts. Translational research. 245. 117–129. 9 indexed citations
10.
Chu, Yin‐Yi, Jur‐Shan Cheng, Ting‐Shu Wu, et al.. (2021). Association between Hepatitis C Virus Infection and Esophageal Cancer: An Asian Nationwide Population-Based Cohort Study. Journal of Clinical Medicine. 10(11). 2395–2395. 4 indexed citations
11.
Huang, Po‐Yen, et al.. (2021). Antifungal susceptibility testing with YeastONE™ is not predictive of clinical outcomes of Cryptococcus neoformans var. grubii fungemia. Medical Mycology. 59(11). 1114–1121. 6 indexed citations
12.
Kao, Shu‐Wei, Zhuo‐Hao Liu, Ting‐Shu Wu, et al.. (2020). Prevalence of drug resistance mutations in HIV-infected individuals with low-level viraemia under combination antiretroviral therapy: an observational study in a tertiary hospital in Northern Taiwan, 2017–19. Journal of Antimicrobial Chemotherapy. 76(3). 722–728. 14 indexed citations
13.
Lee, Ming‐Chun, Pei‐Lun Sun, Tsu‐Lan Wu, et al.. (2017). Antimicrobial resistance in Mycobacterium abscessus complex isolated from patients with skin and soft tissue infections at a tertiary teaching hospital in Taiwan. Journal of Antimicrobial Chemotherapy. 72(10). 2782–2786. 35 indexed citations
14.
Ye, Jung-Jr, Shian‐Sen Shie, Chun-Wen Cheng, et al.. (2017). Clinical characteristics and treatment outcomes of vancomycin-resistant Enterococcus faecium bacteremia. Journal of Microbiology Immunology and Infection. 51(6). 705–716. 24 indexed citations
15.
Chao, Anne, Anne Chao, Yhu‐Chering Huang, et al.. (2013). Seroprevalence of influenza A H1N1 and seroconversion of mothers and infants induced by a single dose of monovalent vaccine. Taiwanese Journal of Obstetrics and Gynecology. 52(3). 356–359. 6 indexed citations
17.
Wu, Ting‐Shu, Cheng-Hsun Chiu, Chih-Hsun Yang, et al.. (2012). Fish Tank Granuloma Caused by Mycobacterium marinum. PLoS ONE. 7(7). e41296–e41296. 40 indexed citations
18.
Lu, Chia‐Chen, Shiau-Ting Hu, Ting‐Shu Wu, et al.. (2012). Activation of an NLRP3 Inflammasome Restricts Mycobacterium kansasii Infection. PLoS ONE. 7(4). e36292–e36292. 60 indexed citations
20.
Cheng, Chun-Wen, Huang-Shen Lin, Jung-Jr Ye, et al.. (2009). Clinical significance of and outcomes for Bacteroides fragilis bacteremia.. PubMed. 42(3). 243–50. 31 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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