Su-Pin Koo

617 citations
8 papers · 508 · h-index 8

Impact in

Papers in

    • Biochemical and Structural Characterization 5
    • Gut microbiota and health 1
    • Antimicrobial Peptides and Activities 6

Su-Pin Koo

8 papers receiving 499 citations

Peers

Su-Pin Koo
Comparison fields: 5 of 70
  • Microbiology 248
  • Infectious Diseases 155
  • Molecular Medicine 37
  • Clinical Biochemistry 31
  • Public Health, Environmental and Occupational Health 89
Replace Jane Newcombe with:
Jane Newcombe United Kingdom
Belinda Modun United Kingdom
Barbara J. Pearce United States
Wouter T. M. Jansen Netherlands
Jing-Ren Zhang China
Julia Garbe Sweden
Magdalena M. van der Kooi‐Pol Netherlands
Kyle J. Wayne United States
Barbara M. Loynds United Kingdom
Runying Tian United States
Su-Pin Koo relative to Jane Newcombe United Kingdom Jane Newcombe's profile →
Citations per field
00.5×3.9×
Jane Newcombe · 1×
Citations per year

Countries citing papers authored by Su-Pin Koo

Since Specialization
Citations

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

Fields of papers citing papers by Su-Pin Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Pin Koo. 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 Su-Pin Koo. The network helps show where Su-Pin Koo may publish in the future.

Co-authors

The 15 scholars most cited alongside Su-Pin Koo, 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 Su-Pin Koo Line = papers co-authored together Su-Pin Koo links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1998161
2 2000128
3 199663
4 200143
5 199735
6 199634
7 199424
8 199920

About Su-Pin Koo

Su-Pin Koo is a scholar working on Molecular Biology, Microbiology, Genetics, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 508 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (6 papers), Biochemical and Structural Characterization (5 papers), Venomous Animal Envenomation and Studies (3 papers), Streptococcal Infections and Treatments (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Gut microbiota and health (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Microbiology (248 citations), Infectious Diseases (155 citations), Molecular Medicine (37 citations), Clinical Biochemistry (31 citations) and Public Health, Environmental and Occupational Health (89 citations). Su-Pin Koo has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Michael R. Yeaman, Arnold S. Bayer, Paul M. Sullam, Richard A. Proctor, Hans‐Georg Sahl, Archana Varma, Rajendra Prasad, Jyotsna Chandra, Melissa H. Brown and Anjni Koul. Their work appears in journals such as Infection and Immunity, Journal of Food Engineering and Journal of Clinical Investigation.

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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