Phillip Brooks

809 citations
10 papers · 303 · h-index 7

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 4
    • Viral gastroenteritis research and epidemiology 3
    • Genetics, Bioinformatics, and Biomedical Research 2

Phillip Brooks

10 papers receiving 276 citations

Peers

Phillip Brooks
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 42
  • Cardiology and Cardiovascular Medicine 115
  • Cognitive Neuroscience 48
  • Infectious Diseases 43
  • Biochemistry 16
Replace Fernando Díaz-Yáñez with:
Fernando Díaz-Yáñez Chile
Jennifer N. Miller United States
Annie Ting Gee Chiu Hong Kong
Joaquín Carrasco‐Luna Spain
Anjuman Ara Mimi Bangladesh
Sheila Sivam Australia
Orazio Cascio Italy
Danika C.A. Lyons Canada
Oliwia Zakerska‐Banaszak Poland
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Citations per field
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Citations per year

Countries citing papers authored by Phillip Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1973155
2 201735
3 201531
4 202128
5 201023
6 201913
7 20217
8 20176
9 20224
10 20181

About Phillip Brooks

Phillip Brooks is a scholar working on Infectious Diseases, Molecular Biology, Small Animals, Neurology and Information Systems, having authored 10 papers that have together received 303 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Peripheral Neuropathies and Disorders (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Scientific Computing and Data Management (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (42 citations), Cardiology and Cardiovascular Medicine (115 citations), Cognitive Neuroscience (48 citations), Infectious Diseases (43 citations) and Biochemistry (16 citations). Phillip Brooks has collaborated with scholars based in United States and Brazil. Frequent co-authors include Bernard Lown, Mark L. Tykocinski, Linda S. Mansfield, Julia A. Bell, Irene T. Weber, Giovanni Gadda, Hongling Yuan, C. Titus Brown, Camille Scott and Luiz Irber. Their work appears in journals such as Journal of Neuroimmunology, Journal of Allergy and Clinical Immunology, Microbiome, Biochemistry and Animal Health Research Reviews.

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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