Andrew Bryan

2.6k citations
44 papers · 1.4k · h-index 17

Impact in

Papers in

    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 detection and testing 5
    • Antifungal resistance and susceptibility 4
    • Legionella and Acanthamoeba research 6

Andrew Bryan

41 papers receiving 1.4k citations

Peers

Andrew Bryan
Comparison fields: 5 of 111
  • Endocrinology 301
  • Molecular Medicine 211
  • Infectious Diseases 579
  • Pollution 133
  • Modeling and Simulation 45
Replace Kyung‐Hwa Park with:
Kyung‐Hwa Park South Korea
Cherng‐Lih Perng Taiwan
В. Г. Акимкин Russia
Nam Hee Ryoo South Korea
Binghuai Lu China
Masoud Dadashi Iran
Nathalie Jourdan‐Da Silva France
Chi-Jung Wu Taiwan
Efthimia Petinaki Greece
Didier Che France
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Citations per field
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Kyung‐Hwa Park · 1×
Citations per year

Countries citing papers authored by Andrew Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020366
2 2004224
3 2010179
4 2018103
5 201974
6 200667
7 202057
8 202129
9 202026
10 201926
11 202225
12 202321
13 202020
14 202118
15 201118
16 201118
17 202017
18 201315
19 201612
20 202112

About Andrew Bryan

Andrew Bryan is a scholar working on Infectious Diseases, Endocrinology, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antifungal resistance and susceptibility (4 papers), Biosensors and Analytical Detection (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Endocrinology (301 citations), Molecular Medicine (211 citations), Infectious Diseases (579 citations), Pollution (133 citations) and Modeling and Simulation (45 citations). Andrew Bryan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael J. Sadowsky, Nir Shapir, Mark H. Wener, Chihiro Morishima, Susan L. Fink, Anu Chaudhary, Michele S. Swanson, Alexander L. Greninger, Patrick C. Mathias and Keith R. Jerome. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Journal of Clinical Microbiology, Infection and Immunity and American Journal of Clinical 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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