Gamini Kumarasinghe

1k citations
19 papers · 909 · h-index 14

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 6
    • Antimicrobial Resistance in Staphylococcus 2
    • Tuberculosis Research and Epidemiology 2
    • Antifungal resistance and susceptibility 1

Gamini Kumarasinghe

19 papers receiving 874 citations

Peers

Gamini Kumarasinghe
Comparison fields: 5 of 57
  • Applied Microbiology and Biotechnology 72
  • Molecular Medicine 159
  • Endocrinology 44
  • Epidemiology 264
  • Clinical Biochemistry 36
Replace Jainn-Ming Shyr with:
Jainn-Ming Shyr Taiwan
Jan Trupl Slovakia
Teresa Llovet Spain
Junichi Matsuda Japan
Aziz Japoni Iran
Elisabeth Löwdin Sweden
Anne Gouby France
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Anan Chongthaleong Thailand
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Citations per field
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Citations per year

Countries citing papers authored by Gamini Kumarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Gamini Kumarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004309
2 2009103
3 200688
4 200567
5
Antimicrobial susceptibility of Shigella isolates in eight Asian countries, 2001-2004.
200856
6 200445
7 200344
8 200628
9 200728
10 198927
11 200325
12 200522
13 200416
14 199415
15 200512
16 19959
17 19956
18 20025
19 20074

About Gamini Kumarasinghe

Gamini Kumarasinghe is a scholar working on Molecular Medicine, Infectious Diseases, Clinical Biochemistry, Epidemiology and Food Science, having authored 19 papers that have together received 909 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (2 papers), Pneumonia and Respiratory Infections (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Tuberculosis Research and Epidemiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers), RNA Interference and Gene Delivery (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (72 citations), Molecular Medicine (159 citations), Endocrinology (44 citations), Epidemiology (264 citations) and Clinical Biochemistry (36 citations). Gamini Kumarasinghe has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Chit Laa Poh, Prathiba Kurupati, Kevin S. W. Tan, Boon King Teh, Paul Anantharajah Tambyah, Jennifer A. Perera, Jae‐Hoon Song, Celia Carlos, Cheng-Hsun Chiu and Anan Chongthaleong. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Pathology, Peritoneal Dialysis International, Journal of Oral Pathology and Medicine and Microbial Drug Resistance.

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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