Prabha Krishnan

2.1k citations
50 papers · 1.4k · h-index 22

Impact in

Papers in

Prabha Krishnan

50 papers receiving 1.3k citations

Peers

Prabha Krishnan
Comparison fields: 5 of 93
  • Applied Microbiology and Biotechnology 138
  • Molecular Medicine 348
  • Infectious Diseases 498
  • Clinical Biochemistry 166
  • Endocrinology 113
Replace Sabrina J. Moyo with:
Sabrina J. Moyo Tanzania
Alex Kallen United States
Gunturu Revathi Kenya
Constanze Wendt Germany
Basista Prasad Rijal Nepal
Yee Gyung Kwak South Korea
John Segreti United States
Wen‐Liang Yu Taiwan
Meher Rizvi India
Diamantis P. Kofteridis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Prabha Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Prabha Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabha Krishnan. 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 Prabha Krishnan. The network helps show where Prabha Krishnan may publish in the future.

Co-authors

The 25 scholars most cited alongside Prabha Krishnan, 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 Prabha Krishnan Line = papers co-authored together Prabha Krishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010126
2 201196
3 201296
4 201595
5 200387
6 200779
7 201375
8 200664
9 201252
10 201237
11 200737
12 200836
13 201434
14 201731
15
New influenza A (H1N1) 2009 in Singapore: the first ten adult imported cases.
200930
16 201127
17 200926
18 201725
19 201223
20 201321

About Prabha Krishnan

Prabha Krishnan is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Endocrinology and Epidemiology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (16 papers), Antibiotic Resistance in Bacteria (15 papers), Bacterial biofilms and quorum sensing (10 papers), Vibrio bacteria research studies (5 papers), Enterobacteriaceae and Cronobacter Research (5 papers), Tuberculosis Research and Epidemiology (4 papers), Antibiotic Use and Resistance (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (138 citations), Molecular Medicine (348 citations), Infectious Diseases (498 citations), Clinical Biochemistry (166 citations) and Endocrinology (113 citations). Prabha Krishnan has collaborated with scholars based in Singapore, India and United Kingdom. Frequent co-authors include Li Yang Hsu, Roland Jureen, David Chien Lye, Thean Yen Tan, Yee‐Sin Leo, Jeanette Teo, Angela Chow, Tse-Hsien Koh, Raymond Tzer Pin Lin and Michelle Balm. Their work appears in journals such as International Journal of Infectious Diseases, American Journal of Infection Control, Journal of Hospital Infection, PLoS ONE and Pathology.

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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