Jane Kowall

428 citations
5 papers · 344 · h-index 5

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 2
    • Tuberculosis Research and Epidemiology 2
    • Bacterial biofilms and quorum sensing 2
    • Molecular Biology Techniques and Applications 1

Jane Kowall

5 papers receiving 332 citations

Peers

Jane Kowall
Comparison fields: 5 of 36
  • Infectious Diseases 294
  • Molecular Medicine 37
  • Clinical Biochemistry 36
  • Epidemiology 149
  • Biotechnology 28
Replace Hongwei Meng with:
Hongwei Meng China
Rama Kishan R. Voladri United States
Håvard Valvatne Norway
Melicent C. Peck United States
Carmen A. Molina-Torres Mexico
Émilie Camiade France
Jessica Davenport United States
W Witte Germany
Jasdeep S. Nanra United States
Jaime L. Little United States
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Citations per field
00.5×3.4×
Hongwei Meng · 1×
Citations per year

Countries citing papers authored by Jane Kowall

Since Specialization
Citations

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

Fields of papers citing papers by Jane Kowall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2008138
2 200390
3 200966
4 200938
5 200612

About Jane Kowall

Jane Kowall is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Clinical Biochemistry and Genetics, having authored 5 papers that have together received 344 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial biofilms and quorum sensing (2 papers), Tuberculosis Research and Epidemiology (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Molecular Biology Techniques and Applications (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Infectious Diseases (294 citations), Molecular Medicine (37 citations), Clinical Biochemistry (36 citations), Epidemiology (149 citations) and Biotechnology (28 citations). Jane Kowall has collaborated with scholars based in Germany, South Korea and Spain. Frequent co-authors include Stefan H. E. Kaufmann, Sabine Daugelat, Robert Hurwitz, Jens Mattow, Dirk Bumann, Bo‐Young Jeon, J. Schreiber, Roland Krause, Jong Seok Lee and Robert C. Stein. Their work appears in journals such as Applied and Environmental Microbiology, Veterinary Record, Journal of Biotechnology, Cell Host & Microbe and Microbes and Infection.

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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