W. E. Brown

1.8k citations
53 papers · 1.6k · h-index 17

Impact in

    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
    • Bone Metabolism and Diseases
    • Ion channel regulation and function
    • RNA and protein synthesis mechanisms

Papers in

W. E. Brown

52 papers receiving 1.4k citations

Peers

W. E. Brown
Comparison fields: 5 of 123
  • Cell Biology 326
  • Molecular Biology 815
  • Immunology and Allergy 51
  • Genetics 238
  • Molecular Medicine 39
Replace Karen S. Sellins with:
Karen S. Sellins United States
Takafumi Kudo Japan
Wolfgang Völker Germany
Takahisa Ohta Japan
A.J.M. Vermorken Netherlands
Brenda I. Gerwin United States
Ellen Wirawan Belgium
R G Ham United States
Yetrib Hathout United States
Andrzej Sobota Poland
W. E. Brown relative to Karen S. Sellins United States Karen S. Sellins's profile →
Citations per field
00.5×2.6×
Karen S. Sellins · 1×
Citations per year

Countries citing papers authored by W. E. Brown

Since Specialization
Citations

This map shows the geographic impact of W. E. 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. E. 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. E. Brown more than expected).

Fields of papers citing papers by W. E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978284
2 1988194
3 1981176
4 1988173
5 198893
6 198765
7 197758
8
Isocyanates and lung disease: experimental approaches to molecular mechanisms.
199241
9 198939
10 200438
11 198836
12 197435
13 195327
14 198221
15 197120
16 197818
17 196518
18 196915
19 197014
20 198414

About W. E. Brown

W. E. Brown is a scholar working on Molecular Biology, Ecology, Animal Science and Zoology, Genetics and Plant Science, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Occupational exposure and asthma (3 papers), Microbial infections and disease research (3 papers), Agricultural pest management studies (3 papers), Animal Nutrition and Physiology (3 papers), Wildlife Ecology and Conservation (2 papers) and Rabies epidemiology and control (2 papers). The work is most often cited by research in Cell Biology (326 citations), Molecular Biology (815 citations), Immunology and Allergy (51 citations), Genetics (238 citations) and Molecular Medicine (39 citations). W. E. Brown has collaborated with scholars based in United States, Malaysia and Australia. Frequent co-authors include Robert D. Goldman, Anne E. Goldman, John M. Rosenberg, P J Greene, Meenu Gupta, H W Boyer, Pierre J. Courtoy, Daniel Louvard, M G Farquhar and Roland Baron. Their work appears in journals such as Poultry Science, Journal of Biological Chemistry, Experimental Biology and Medicine, The Journal of Cell Biology and Toxicology and Applied Pharmacology.

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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