Allison C. Brown

52 papers receiving 1.7k citations

Peers

Allison C. Brown
Comparison fields: 5 of 124
  • Molecular Medicine 440
  • Applied Microbiology and Biotechnology 175
  • Endocrinology 241
  • Orthopedics and Sports Medicine 233
  • Food Science 323
Replace Kevin M. Krause with:
Kevin M. Krause United States
Béla Kocsis Hungary
Honghua Hu Australia
Jennifer L. Davis United States
Wei Feng China
Suzannah M. Schmidt-Malan United States
Matthias Trautmann Germany
Subhash Chandra Parija India
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Citations per field
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 2021113
3 2013103
4 201797
5 201390
6 201886
7 201483
8 201582
9 201876
10 201470
11 201661
12 201657
13 201453
14 201251
15 201750
16 201549
17 201743
18 201637
19 201336
20 201635

About Allison C. Brown

Allison C. Brown is a scholar working on Molecular Medicine, Clinical Biochemistry, Biomedical Engineering, Endocrinology and Applied Microbiology and Biotechnology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Use and Resistance (8 papers), Sports injuries and prevention (7 papers), Lower Extremity Biomechanics and Pathologies (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Advanced Photocatalysis Techniques (5 papers) and TiO2 Photocatalysis and Solar Cells (5 papers). The work is most often cited by research in Molecular Medicine (440 citations), Applied Microbiology and Biotechnology (175 citations), Endocrinology (241 citations), Orthopedics and Sports Medicine (233 citations) and Food Science (323 citations). Allison C. Brown has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include James K. McCusker, Leif Hammarström, Rebecca Zifchock, Cristine Agresta, Howard J. Hillstrom, Catherine E. McCusker, Jason P. Folster, Dong Guo, Lindsey L. Jamula and Cindy R. Friedman. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Emerging infectious diseases, Open Forum Infectious Diseases and Clinical Biomechanics.

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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