Brian K. May

5.3k citations
120 papers · 4.3k indexed · h-index 39

Impact in

Papers in

Brian K. May

113 papers receiving 4.1k citations

Peers

Brian K. May
Comparison fields: 5 of 121
  • Pathology and Forensic Medicine 961
  • Pharmacology 411
  • Molecular Biology 2.5k
  • Rheumatology 466
  • Orthopedics and Sports Medicine 256
Replace Dalia Sömjen with:
Dalia Sömjen Israel
Pekka H. Mäenpää Finland
Toshimasa Shinki Japan
E. Kodíček United Kingdom
G. Kerr Whitfield United States
Xiao‐Kang Li Japan
Robert E. Pacifici United States
Sergio A. Lamprecht Israel
Daniel S. Straus United States
Jens Høiriis Nielsen Denmark
Brian K. May relative to Dalia Sömjen Israel Dalia Sömjen's profile →
Citations per field
00.5×1.5×1.9×
Dalia Sömjen · 1×
Citations per year

Countries citing papers authored by Brian K. May

Since Specialization
Citations

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

Fields of papers citing papers by Brian K. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20212
3 200931
4 200715
5 20076
6 200440
7 200238
8 200157
9 200036
10 199699
11 199618
12 199320
13 199216
14 19927
15 199029
16 19902
17 198946
18 19894
19 198738
20 19802

About Brian K. May

Brian K. May is a scholar working on Pharmacology, Rheumatology, Pathology and Forensic Medicine, Biotechnology and Molecular Biology, having authored 120 papers that have together received 4.3k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (41 papers), Vitamin D Research Studies (25 papers), Folate and B Vitamins Research (21 papers), Heme Oxygenase-1 and Carbon Monoxide (19 papers), Estrogen and related hormone effects (18 papers), Pharmacogenetics and Drug Metabolism (15 papers), Neonatal Health and Biochemistry (14 papers) and Enzyme Production and Characterization (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (961 citations), Pharmacology (411 citations), Molecular Biology (2.5k citations), Rheumatology (466 citations) and Orthopedics and Sports Medicine (256 citations). Brian K. May has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include William H. Elliott, Timothy C. Cox, Howard A. Morris, M J Bawden, John L. Omdahl, Iain A. Borthwick, Gopesh Srivastava, Paul Anderson, Angela K. Martin and Sylvia S. Bottomley. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Molecular Pharmacology and Journal of Bacteriology.

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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