David Bulir

743 citations
21 papers · 462 · h-index 13

Impact in

    • Reproductive tract infections research
    • SARS-CoV-2 detection and testing
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Urinary Tract Infections Management 5
    • Hepatitis B Virus Studies 2
    • Reproductive tract infections research 8

David Bulir

20 papers receiving 457 citations

Peers

David Bulir
Comparison fields: 5 of 71
  • Microbiology 103
  • Infectious Diseases 141
  • Endocrinology 36
  • General Dentistry 9
  • Molecular Medicine 23
Replace Jaya D. Chidambaram with:
Jaya D. Chidambaram United Kingdom
Anne Fiquet France
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Citations per field
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Citations per year

Countries citing papers authored by David Bulir

Since Specialization
Citations

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

Fields of papers citing papers by David Bulir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 201372
3 201338
4 202134
5 202033
6 200833
7 201028
8 201124
9 201618
10 200915
11 201615
12 202113
13 202112
14 201411
15 201211
16 201510
17 20234
18 20214
19 20162
20
Update on Immunotherapeutics in the Management of Metastatic Melanoma
20191

About David Bulir

David Bulir is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Molecular Biology and Modeling and Simulation, having authored 21 papers that have together received 462 indexed citations. Recurring topics across this work include Reproductive tract infections research (8 papers), Urinary Tract Infections Management (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Biosensors and Analytical Detection (3 papers), COVID-19 epidemiological studies (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Urticaria and Related Conditions (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Microbiology (103 citations), Infectious Diseases (141 citations), Endocrinology (36 citations), General Dentistry (9 citations) and Molecular Medicine (23 citations). David Bulir has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include James B. Mahony, Sylvia Chong, Daniel Waltho, Steven H. Liang, Parameswaran Nair, Sergei I. Ochkur, Katherine Radford, James J. Lee, Paige Lacy and Melanie Kjarsgaard. Their work appears in journals such as BMC Microbiology, Journal of Allergy and Clinical Immunology, PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

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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