J. Brown

1.2k citations
33 papers · 949 · h-index 15

Impact in

  • Neurology top 5%
    • Botulinum Toxin and Related Neurological Disorders
    • Neurological disorders and treatments
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Biochemical and Structural Characterization 4
    • Botulinum Toxin and Related Neurological Disorders 10
    • Neurological disorders and treatments 4

J. Brown

30 papers receiving 896 citations

Peers

J. Brown
Comparison fields: 5 of 93
  • Neurology 309
  • Infectious Diseases 261
  • Endocrinology 63
  • Cellular and Molecular Neuroscience 134
  • Biotechnology 54
Replace Diana Pauly with:
Diana Pauly Germany
M. C. Hardegree United States
Iwao Ohishi Japan
J E Alouf France
Anke Osterloh Germany
Oliver Knapp Germany
Martina Hudel Germany
Tara Kenny United States
Donald M. Carter United States
Rong‐Hwa Shyu Taiwan
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Citations per field
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Diana Pauly · 1×
Citations per year

Countries citing papers authored by J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996156
2 1993120
3 1992111
4 199372
5 200562
6 197461
7 199459
8 198449
9 197427
10 199527
11 198624
12 199720
13 200819
14 199918
15 199716
16 200314
17 199212
18 199111
19 197911
20 199411

About J. Brown

J. Brown is a scholar working on Molecular Biology, Neurology, Immunology, Infectious Diseases and Pharmacology, having authored 33 papers that have together received 949 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (10 papers), Biochemical and Structural Characterization (4 papers), Neurological disorders and treatments (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Microbial infections and disease research (4 papers), Plant-based Medicinal Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Neurology (309 citations), Infectious Diseases (261 citations), Endocrinology (63 citations), Cellular and Molecular Neuroscience (134 citations) and Biotechnology (54 citations). J. Brown has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Lura C. Williamson, Jane L. Halpern, Elaine A. Neale, Cesare Montecucco, Richard W. Titball, Petra C. F. Oyston, Jun Sakùrai, Frances S. Ligler, J W Ezzell and Robert A. Ogert. Their work appears in journals such as Journal of Clinical Microbiology, Journal of AOAC International, Vaccine, Infection and Immunity and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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