K A Birkness

1.3k citations
32 papers · 989 · h-index 18

Impact in

    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
    • Bartonella species infections research

Papers in

K A Birkness

30 papers receiving 921 citations

Peers

K A Birkness
Comparison fields: 5 of 77
  • Endocrinology 314
  • Parasitology 124
  • Infectious Diseases 289
  • Molecular Medicine 73
  • Microbiology 79
Replace Yves Germani with:
Yves Germani France
Yukio Morita Japan
F. R. Cockerill United States
Marlene K. Hopkins United States
Eszter Deák United States
André P. Burnens Switzerland
Ingrid Bölin Sweden
Sandeep Ghatak India
Melissa C. Libal United States
Raimond Lugert Germany
K A Birkness relative to Yves Germani France Yves Germani's profile →
Citations per field
00.5×2.9×
Yves Germani · 1×
Citations per year

Countries citing papers authored by K A Birkness

Since Specialization
Citations

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

Fields of papers citing papers by K A Birkness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K A Birkness. 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 K A Birkness. The network helps show where K A Birkness may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998222
2 1991138
3 198474
4 199967
5 200751
6 199547
7 200641
8 198432
9 201332
10 198528
11 198428
12 199226
13 199026
14 198325
15 198525
16 199917
17 198217
18 198417
19 198315
20 199015

About K A Birkness

K A Birkness is a scholar working on Endocrinology, Infectious Diseases, Epidemiology, Food Science and Microbiology, having authored 32 papers that have together received 989 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Tuberculosis Research and Epidemiology (6 papers), Bacterial Infections and Vaccines (5 papers), Escherichia coli research studies (5 papers), Bacteriophages and microbial interactions (5 papers), Vibrio bacteria research studies (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Endocrinology (314 citations), Parasitology (124 citations), Infectious Diseases (289 citations), Molecular Medicine (73 citations) and Microbiology (79 citations). K A Birkness has collaborated with scholars based in United States, Uganda and Bangladesh. Frequent co-authors include Elizabeth White, Frederick D. Quinn, Michael Steinert, Barry S. Fields, F D Quinn, Kaye Wachsmuth, Jeanine Bartlett, W F Bibb, Mitchell L. Cohen and Jeannette Guarner. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, Annals of the New York Academy of Sciences, Current Microbiology and American Journal of Epidemiology.

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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