Michael W. Brown

30 papers receiving 733 citations

Peers

Michael W. Brown
Comparison fields: 5 of 118
  • Urology 107
  • Health, Toxicology and Mutagenesis 106
  • Industrial and Manufacturing Engineering 46
  • Environmental Chemistry 53
  • Pharmacology 42
Replace Stefanie Weber with:
Stefanie Weber Germany
A Cozzolino Italy
Yiwen Qiu China
Matthew R. First United States
Gene Guinn United States
Kyung Won Seo South Korea
Yuxin Zhao China
Liang Cui China
Michael W. Brown relative to Stefanie Weber Germany Stefanie Weber's profile →
Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by Michael W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201211
3 20063
4 200654
5 200277
6 199526
7 199233
8 199121
9 19907
10 19897
11 19881
12 198636
13 198699
14 19861
15 198543
16 198473
17 198334
18 19771
19 197342
20 19644

About Michael W. Brown

Michael W. Brown is a scholar working on Applied Microbiology and Biotechnology, Pharmacology, Urology, Toxicology and Health, Toxicology and Mutagenesis, having authored 31 papers that have together received 817 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (4 papers), Pediatric Urology and Nephrology Studies (3 papers), Liver Disease and Transplantation (2 papers), Ureteral procedures and complications (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Avian ecology and behavior (2 papers), Trace Elements in Health (2 papers) and Phosphorus and nutrient management (2 papers). The work is most often cited by research in Urology (107 citations), Health, Toxicology and Mutagenesis (106 citations), Industrial and Manufacturing Engineering (46 citations), Environmental Chemistry (53 citations) and Pharmacology (42 citations). Michael W. Brown has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Stanisław Bogdański, A. D. Mackay, J. K. Syers, George D. Webster, K. V. Speeg, Christopher G. Meredith, Alma L. Maldonado, Kenneth J. Reinecke, Anthony Cryer and D.G. Shurben. Their work appears in journals such as The Journal of Urology, Journal of the Science of Food and Agriculture, Journal of Wildlife Management, Journal of Pharmacy and Pharmacology and International Journal of Radiation Oncology*Biology*Physics.

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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