Martha Brown

1.8k citations
42 papers · 1.5k · h-index 22

Impact in

Papers in

    • Virus-based gene therapy research 28
    • Viral Infectious Diseases and Gene Expression in Insects 12
    • Insect Resistance and Genetics 4
    • CRISPR and Genetic Engineering 3

Martha Brown

41 papers receiving 1.3k citations

Peers

Martha Brown
Comparison fields: 5 of 115
  • Infectious Diseases 550
  • Genetics 728
  • Cardiology and Cardiovascular Medicine 247
  • Insect Science 132
  • Molecular Biology 630
Replace Ranjit Dasgupta with:
Ranjit Dasgupta United States
Caryn Hale United States
Jerry L. Blackwell United States
Svetlana Atasheva United States
Alfredo Berzal‐Herranz Spain
Victoria Ley Spain
Asao Itagaki Japan
Ashley Acevedo United States
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Citations per field
00.5×4.9×
Ranjit Dasgupta · 1×
Citations per year

Countries citing papers authored by Martha Brown

Since Specialization
Citations

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

Fields of papers citing papers by Martha Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977166
2 2004135
3 199884
4 197976
5 199273
6 198468
7 200660
8 199056
9 197556
10 199349
11
Clinical features of adenovirus enteritis: a review of 127 cases.
199049
12 201647
13 198543
14 199242
15 200440
16 198038
17 197837
18 199235
19 198034
20 199133

About Martha Brown

Martha Brown is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (28 papers), Viral gastroenteritis research and epidemiology (15 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Viral Infections and Immunology Research (11 papers), Plant Virus Research Studies (5 papers), Insect Resistance and Genetics (4 papers), Parvovirus B19 Infection Studies (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Infectious Diseases (550 citations), Genetics (728 citations), Cardiology and Cardiovascular Medicine (247 citations), Insect Science (132 citations) and Molecular Biology (630 citations). Martha Brown has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include P. Faulkner, Martin Petric, John W. Creswell, M Petrić, Joseph Weber, Raymond Tellier, Grant Johnson, Helen Sarantis, Allan M. Crawford and P J Middleton. Their work appears in journals such as Journal of Clinical Microbiology, Journal of General Virology, Journal of Virology, Virus Research and Virology.

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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