Tse-Hsien Koh

1.3k citations
24 papers · 956 indexed · h-index 15
Topics
Antibiotic Resistance in Bacteria (16 papers)Antimicrobial Resistance in Staphylococcus (10 papers)Bacterial Identification and Susceptibility Testing (8 papers)

In The Last Decade

Tse-Hsien Koh

24 papers receiving 928 citations

Peers

Tse-Hsien Koh
Comparison fields: 5 of 69
  • Molecular Medicine 465
  • Infectious Diseases 424
  • Molecular Biology 265
  • Clinical Biochemistry 242
  • Epidemiology 195
Replace Srujana Mohanty with:
Srujana Mohanty India
Sunita Mohapatra United States
Gill Smollan Israel
Kotaro Aoki Japan
Bijayini Behera India
Matthew E. Griffith United States
Alyssa Shon United States
Cristina Pitart Spain
J. Croizé France
Anjali Shetty India
Tse-Hsien Koh relative to Srujana Mohanty India Srujana Mohanty's profile →
Citations per field
00.5×1.5×1.9×
Srujana Mohanty · 1×
Citations per year

Countries citing papers authored by Tse-Hsien Koh

Since Specialization
Citations

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

Fields of papers citing papers by Tse-Hsien Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tse-Hsien Koh. 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 Tse-Hsien Koh. The network helps show where Tse-Hsien Koh may publish in the future.

Co-authorship network of co-authors of Tse-Hsien Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Tse-Hsien Koh. A scholar is included among the top collaborators of Tse-Hsien Koh 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 Tse-Hsien Koh. Tse-Hsien Koh 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 12
2 2
3 4
4 14
5 5
6 14
7 23
8 93
9 37
10 32
11 95
12 71
13 14
14 20
15 2
16 79
17 37
18
EMRSA-15 Bacteremia is not Associated with a Worse Outcome Compared with Bacteremia Caused by Multidrug-Resistant MRSA.
2
19 246
20 49

About Tse-Hsien Koh

Tse-Hsien Koh is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 24 papers that have together received 956 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Bacterial Identification and Susceptibility Testing (8 papers). The work is most often cited by research in Molecular Medicine (465 citations), Applied Microbiology and Biotechnology (140 citations) and Clinical Biochemistry (242 citations). Tse-Hsien Koh has collaborated with scholars based in Singapore, Taiwan and United States. Frequent co-authors include Li Yang Hsu, Thean Yen Tan, Asok Kurup, L. Kristopher Siu, Andrea Lay‐Hoon Kwa, Prabha Krishnan, Kuo‐Ming Yeh, Chang‐Phone Fung, Jung‐Chung Lin and Te-Li Chen. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

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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