Tsi-Shu Huang

830 total citations
27 papers, 623 citations indexed

About

Tsi-Shu Huang is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Tsi-Shu Huang has authored 27 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 18 papers in Infectious Diseases and 4 papers in Small Animals. Recurrent topics in Tsi-Shu Huang's work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (12 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Tsi-Shu Huang is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (12 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Tsi-Shu Huang collaborates with scholars based in Taiwan and United States. Tsi-Shu Huang's co-authors include Yung-Ching Liu, Susan Shin‐Jung Lee, Yao-Shen Chen, Calvin M. Kunin, Hsi-Hsun Lin, Wen-Kuei Huang, Cheng-Len Sy, Shue-Ren Wann, Hung‐Chin Tsai and Jen-Hsien Wang and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Tsi-Shu Huang

25 papers receiving 610 citations

Peers

Tsi-Shu Huang
Comparison fields: 5 of 87
  • Epidemiology 408
  • Infectious Diseases 352
  • Molecular Biology 105
  • Surgery 96
  • Molecular Medicine 67
Replace Che‐Kim Tan with:
Che‐Kim Tan Taiwan
Eleonora Bunsow Spain
Inneke M. van der Heijden Brazil
I.M. Gould United Kingdom
An Boel Belgium
Michael J. Pultz United States
Daisuke Sakanashi Japan
Belén Viñado Spain
Rémi Le Guern France
Alena Jandourek United States
Che‐Kim Tan Taiwan View profile →
Citations per field, relative to Tsi-Shu Huang
Tsi-Shu Huang · 1×
Citations per year, relative to Tsi-Shu Huang
Tsi-Shu Huang · 1×

Countries citing papers authored by Tsi-Shu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tsi-Shu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsi-Shu Huang. 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 Tsi-Shu Huang. The network helps show where Tsi-Shu Huang may publish in the future.

Co-authorship network of co-authors of Tsi-Shu Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsi-Shu Huang. A scholar is included among the top collaborators of Tsi-Shu Huang 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 Tsi-Shu Huang. Tsi-Shu Huang 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
# Work Indexed citations
1 0
2 2
3 32
4 4
5 28
6 8
7 0
8 9
9 16
10 27
11 1
12 37
13 16
14 22
15 31
16 25
17 74
18 31
19 13
20 42

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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