W. Mark Brown

3.2k citations
50 papers · 1.4k · h-index 22

Impact in

Papers in

    • Genetic Associations and Epidemiology 7
    • Diabetes and associated disorders 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Cancer-related cognitive impairment studies 3

W. Mark Brown

49 papers receiving 1.4k citations

Peers

W. Mark Brown
Comparison fields: 5 of 102
  • Reproductive Medicine 152
  • Transplantation 33
  • Hematology 142
  • Nephrology 86
  • Genetics 308
Replace P. Hellberg with:
P. Hellberg Sweden
Filippo Schepis Italy
Stephen C. Ward United States
Houman Khalili United States
Andrea Pasini Italy
Hironori Yamasaki Japan
Aimée Paulussen Netherlands
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Miri Fujita Japan
Zhangfei Shou China
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Citations per field
00.5×4.1×
P. Hellberg · 1×
Citations per year

Countries citing papers authored by W. Mark Brown

Since Specialization
Citations

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

Fields of papers citing papers by W. Mark Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004211
2 201297
3 200594
4 200677
5 200467
6 200357
7 200851
8 201747
9 201646
10 200644
11 200943
12 200938
13 200337
14 201635
15 200433
16
Treating COPD with PDE 4 inhibitors.
200733
17 200132
18 200531
19 200728
20 200428

About W. Mark Brown

W. Mark Brown is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Nephrology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Acute Ischemic Stroke Management (4 papers), Diabetes and associated disorders (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cancer-related cognitive impairment studies (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Reproductive Medicine (152 citations), Transplantation (33 citations), Hematology (142 citations), Nephrology (86 citations) and Genetics (308 citations). W. Mark Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen S. Rich, Carl D. Langefeld, Gunther Wennemuth, Donner F. Babcock, Kimberly A. Burton, G. Stanley McKnight, Michael A. Nolan, Barry I. Freedman, James F. Meschia and Brett Kissela. Their work appears in journals such as BMC Genetics, Journal of Clinical Oncology, Neurology, The Prostate and BMC Nephrology.

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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