Brian Greenwood

10.3k citations
132 papers · 7.3k indexed · 3 hit papers · h-index 43

Brian Greenwood

131 papers receiving 6.9k citations

Hit Papers

The contribution of vaccination...6161994202620042015250500750

Peers

Brian Greenwood
Comparison fields: 5 of 151
  • Microbiology 3.7k
  • Epidemiology 4.2k
  • Health 605
  • Immunology 1.1k
  • Infectious Diseases 921
Replace James D. Cherry with:
James D. Cherry United States
Guy A. M. Berbers Netherlands
Thomas M. Lietman United States
David S. Stephens United States
Juhani Eskola Finland
Ray Borrow United Kingdom
Nicole Guiso France
H Whittle Gambia
William M. McCormack United States
Kevin A. Ault United States
Brian Greenwood relative to James D. Cherry United States James D. Cherry's profile →
Citations per field
00.5×1.5×
James D. Cherry · 1×
Citations per year

Countries citing papers authored by Brian Greenwood

Since Specialization
Citations

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

Fields of papers citing papers by Brian Greenwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 201813
3 201713
4 201511
5 201560
6 201347
7 2012232
8 20064
9 19981
10 199882
11 199545
12
Variation in the TNF-α promoter region associated with susceptibility to cerebral malariabreakdown →
1994986
13 199327
14 19938
15 199263
16 1988130
17 19879
18 198731
19 197642
20 197331

About Brian Greenwood

Brian Greenwood is a scholar working on Microbiology, Epidemiology and Infectious Diseases, having authored 132 papers that have together received 7.3k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (94 papers), Pneumonia and Respiratory Infections (82 papers), Virology and Viral Diseases (18 papers), Influenza Virus Research Studies (15 papers), Respiratory viral infections research (15 papers), Malaria Research and Control (14 papers), Mosquito-borne diseases and control (11 papers) and Infective Endocarditis Diagnosis and Management (8 papers). The work is most often cited by research in Microbiology (3.7k citations), Epidemiology (4.2k citations) and Health (605 citations). Brian Greenwood has collaborated with scholars based in United Kingdom, Gambia and Nigeria. Frequent co-authors include H.C. Whittle, P Brandtzæg, David S. Stephens, Dominic Kwiatkowski, Catherine E. M. Allsopp, Adrian V. S. Hill, William McGuire, M. Hassan-King, A. K. Bradley and Peter McIntyre. Their work appears in journals such as Nature, The Lancet and Nature Medicine.

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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