G V Brown

2.4k total citations
30 papers, 2.1k citations indexed

About

G V Brown is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Molecular Biology. According to data from OpenAlex, G V Brown has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 10 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in G V Brown's work include Malaria Research and Control (27 papers), Mosquito-borne diseases and control (13 papers) and Complement system in diseases (4 papers). G V Brown is often cited by papers focused on Malaria Research and Control (27 papers), Mosquito-borne diseases and control (13 papers) and Complement system in diseases (4 papers). G V Brown collaborates with scholars based in Australia, United Kingdom and Switzerland. G V Brown's co-authors include Robin F. Anders, Darrell J. Kemp, Ross L. Coppel, Beverley‐Ann Biggs, James H. Leech, Lisa Goozé, K Wycherley, W. Wollish, Bridget R. Southwell and H. Stahl and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

G V Brown

30 papers receiving 2.1k citations

Peers

G V Brown
Comparison fields: 5 of 85
  • Public Health, Environmental and Occupational Health 1.7k
  • Immunology 718
  • Molecular Biology 535
  • Parasitology 396
  • Epidemiology 280
Replace Irene T. Ling with:
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J. H. E. T. Meuwissen Netherlands
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Irene T. Ling United Kingdom View profile →
Citations per field, relative to G V Brown
G V Brown · 1×
Citations per year, relative to G V Brown
G V Brown · 1×

Countries citing papers authored by G V Brown

Since Specialization
Citations

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

Fields of papers citing papers by G V Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G V Brown

This figure shows the co-authorship network connecting the top 25 collaborators of G V Brown. A scholar is included among the top collaborators of G V Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G V Brown. G V Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 20
2 23
3 9
4 13
5 53
6 68
7 43
8 43
9 117
10 421
11 48
12 2
13 172
14 4
15 70
16
Potential vaccine antigens of the asexual blood-stages of Plasmodium falciparum.
1
17 79
18 27
19 24
20
Plasmodium falciparum strains from Papua New Guinea: culture characteristics and drug sensitivity.
49

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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