Allison C. Brown

47 papers receiving 1.7k citations

Peers

Allison C. Brown
Comparison fields: 5 of 121
  • Molecular Medicine 385
  • Applied Microbiology and Biotechnology 136
  • Endocrinology 211
  • Food Science 327
  • Orthopedics and Sports Medicine 135
Replace Kevin M. Krause with:
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Wei Feng China
Suzannah M. Schmidt-Malan United States
Jennifer L. Davis United States
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Allison C. Brown relative to Kevin M. Krause United States Kevin M. Krause's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Allison C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Allison C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison C. Brown. 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 Allison C. Brown. The network helps show where Allison C. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 2017120
3 2013104
4 2017100
5 201391
6 201490
7 201887
8 201582
9 201879
10 201471
11 201661
12 201657
13 201755
14 201455
15 201251
16 201549
17 201744
18 201638
19 201337
20 202033

About Allison C. Brown

Allison C. Brown is a scholar working on Molecular Medicine, Endocrinology, Biomedical Engineering, Renewable Energy, Sustainability and the Environment and Food Science, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Salmonella and Campylobacter epidemiology (6 papers), Lower Extremity Biomechanics and Pathologies (6 papers), Advanced Photocatalysis Techniques (5 papers), TiO2 Photocatalysis and Solar Cells (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Use and Resistance (5 papers) and Legionella and Acanthamoeba research (3 papers). The work is most often cited by research in Molecular Medicine (385 citations), Applied Microbiology and Biotechnology (136 citations), Endocrinology (211 citations), Food Science (327 citations) and Orthopedics and Sports Medicine (135 citations). Allison C. Brown has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include James K. McCusker, Cristine Agresta, Leif Hammarström, Catherine E. McCusker, Rebecca Zifchock, Howard J. Hillstrom, Jason P. Folster, Lindsey L. Jamula, Dong Guo and Cindy R. Friedman. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, Antimicrobial Agents and Chemotherapy, MMWR Morbidity and Mortality Weekly Report and Inorganic Chemistry.

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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