Bor-Shen Hu

29 papers receiving 1.2k citations

Peers

Bor-Shen Hu
Comparison fields: 5 of 86
  • Molecular Medicine 387
  • Endocrinology 241
  • Infectious Diseases 705
  • Virology 162
  • Clinical Biochemistry 90
Replace Yu‐Hui Lin with:
Yu‐Hui Lin Taiwan
Bruce A. Hanna United States
Gökhan Metan Türkiye
Javier Colomina Spain
James R. Uhl United States
V Lakshmi India
Philip M. Tierno United States
N. Manca Italy
Antonio Goglio Italy
F. R. Cockerill United States
Bor-Shen Hu relative to Yu‐Hui Lin Taiwan Yu‐Hui Lin's profile →
Citations per field
00.5×4.5×
Yu‐Hui Lin · 1×
Citations per year

Countries citing papers authored by Bor-Shen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bor-Shen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bor-Shen Hu. 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 Bor-Shen Hu. The network helps show where Bor-Shen Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Bor-Shen Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bor-Shen Hu Line = papers co-authored together Bor-Shen Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002328
2 2005188
3 2000148
4 199588
5 200067
6 199457
7 199441
8 199738
9 199534
10 199632
11 202028
12 199623
13 199518
14 199618
15 199614
16
Haemophilus parainfluenzae and Fusobacterium necrophorum liver abscess: a case report.
200213
17 199512
18 199710
19 19969
20 19969

About Bor-Shen Hu

Bor-Shen Hu is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Endocrinology and Molecular Biology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), HIV Research and Treatment (3 papers), Tuberculosis Research and Epidemiology (3 papers), Infections and bacterial resistance (3 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Molecular Medicine (387 citations), Endocrinology (241 citations), Infectious Diseases (705 citations), Virology (162 citations) and Clinical Biochemistry (90 citations). Bor-Shen Hu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Zhi‐Yuan Shi, L. Kristopher Siu, Yu‐Hui Lin, Y J Lau, Chang‐Phone Fung, Si‐Chen Lee, Feng‐Yee Chang, M.-W. Ho, Chun‐Yu Liu and Yeu-Jun Lau. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Clinical Infectious Diseases, Neurology and Scientific Reports.

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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