I.N. Brown

3.2k total citations
66 papers, 2.6k citations indexed

About

I.N. Brown is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, I.N. Brown has authored 66 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 31 papers in Epidemiology and 15 papers in Immunology. Recurrent topics in I.N. Brown's work include Mycobacterium research and diagnosis (25 papers), Tuberculosis Research and Epidemiology (23 papers) and Malaria Research and Control (12 papers). I.N. Brown is often cited by papers focused on Mycobacterium research and diagnosis (25 papers), Tuberculosis Research and Epidemiology (23 papers) and Malaria Research and Control (12 papers). I.N. Brown collaborates with scholars based in United Kingdom, Tanzania and United States. I.N. Brown's co-authors include K. N. Brown, L.A. Hills, M. C. Berenbaum, Douglas B. Young, Koen A. L. De Smet, Valerie A. Snewin, Brian D. Robertson, Anthony Weston, Peadar Ó Gaora and A. A. Glynn and has published in prestigious journals such as Nature, The Lancet and Nature Medicine.

In The Last Decade

I.N. Brown

65 papers receiving 2.3k citations

Peers

I.N. Brown
Comparison fields: 5 of 119
  • Epidemiology 908
  • Infectious Diseases 871
  • Public Health, Environmental and Occupational Health 781
  • Immunology 713
  • Molecular Biology 514
Replace Janice Taverne with:
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Citations per field, relative to I.N. Brown
I.N. Brown · 1×
Citations per year, relative to I.N. Brown
I.N. Brown · 1×

Countries citing papers authored by I.N. Brown

Since Specialization
Citations

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

Fields of papers citing papers by I.N. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I.N. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of I.N. Brown. A scholar is included among the top collaborators of I.N. 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 I.N. Brown. I.N. 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 81
2 116
3 38
4 18
5 15
6 83
7 43
8
The effect of Kupffer cell elimination on ethanol-induced liver damage in mice.
13
9 51
10 28
11 6
12 23
13 1
14 23
15
BCG, Corynebacterium parvum or Mycobacterium leprae added to cultures of BCG-primed mouse spleen cells cause an enhanced primary antibody response in vitro.
4
16 3
17
Immunology of Parasitic Infections
2
18
Dynamic Aspects of Host Parasite Relationships
0
19 3
20 9

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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