Neil Brown

5.2k citations
102 papers · 3.6k · h-index 37

Impact in

    • Mycotoxins in Agriculture and Food
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogens and Fungal Diseases

Papers in

    • Fungal and yeast genetics research 34
    • Mycotoxins in Agriculture and Food 17
    • Plant-Microbe Interactions and Immunity 10

Neil Brown

102 papers receiving 3.6k citations

Peers

Neil Brown
Comparison fields: 5 of 137
  • Plant Science 1.5k
  • Cell Biology 669
  • Horticulture 39
  • Pharmacology 469
  • Infectious Diseases 461
Replace András Szekeres with:
András Szekeres Hungary
Stephen J. Free United States
Ziding Zhang China
Piet W. J. de Groot Netherlands
Enrico Cabib United States
E Cabib United States
Thorsten Heinekamp Germany
S. Bartnicki-García United States
Xiaoping Yu China
Pierre Rougé France
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Citations per field
00.5×3.7×
András Szekeres · 1×
Citations per year

Countries citing papers authored by Neil Brown

Since Specialization
Citations

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

Fields of papers citing papers by Neil Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004255
2 2010182
3 2012152
4 2012116
5 201498
6 202289
7 200989
8 201780
9 199680
10 200880
11 201874
12 201673
13 200768
14 201367
15 201465
16 201764
17 201561
18 201658
19 201457
20 200757

About Neil Brown

Neil Brown is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Infectious Diseases and Pharmacology, having authored 102 papers that have together received 3.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (34 papers), Antifungal resistance and susceptibility (18 papers), Mycotoxins in Agriculture and Food (17 papers), Plant Pathogens and Fungal Diseases (12 papers), Fungal Biology and Applications (11 papers), Plant-Microbe Interactions and Immunity (10 papers), Cyclization and Aryne Chemistry (10 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Plant Science (1.5k citations), Cell Biology (669 citations), Horticulture (39 citations), Pharmacology (469 citations) and Infectious Diseases (461 citations). Neil Brown has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Gustavo H. Goldman, K. E. Hammond‐Kosack, Keith R. Buszek, Martin Urban, Marcela Savoldi, Thaila Fernanda dos Reis, Maria Helena S. Goldman, Laure Nicolas Annick Ries, Patrícia Alves de Castro and J. F. Antoniw. Their work appears in journals such as PLoS ONE, Molecular Microbiology, Biotechnology for Biofuels, Tetrahedron Letters and G3 Genes Genomes Genetics.

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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