Chad Brown

21 papers receiving 447 citations

Peers

Chad Brown
Comparison fields: 5 of 84
  • Cancer Research 79
  • Chemical Health and Safety 3
  • Genetics 109
  • Small Animals 25
  • Cell Biology 49
Replace Yukun Li with:
Yukun Li China
Michael W. Bolt United States
Tadateru Takahashi Japan
Simona Censi Italy
Lynne E. Porter United States
Kyoko Furuta Japan
P J Johnson United Kingdom
I. Hlavatá Czechia
G. N. Than Hungary
Tony T. Wu Taiwan
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Citations per year

Countries citing papers authored by Chad Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chad Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemopreventive activity of tamoxifen, N-(4-hydroxyphenyl)retinamide, and the vitamin D analogue Ro24-5531 for androgen-promoted carcinomas of the rat seminal vesicle and prostate.
199591
2 201478
3 201577
4 200250
5 201736
6 201229
7 201422
8 201217
9 201115
10 202011
11 20207
12
Ex-Vivo Modeling for Heritability Assessment and Genetic Mapping in Pharmacogenomics.
20116
13 19945
14
An evaluation of uterine scar integrity after cesarean section in rabbits.
19895
15 20173
16 19943
17 20162
18
Software for genome-wide association studies having multivariate responses: Introducing MAGWAS
20122
19 20192
20 20241

About Chad Brown

Chad Brown is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Genetics, having authored 23 papers that have together received 463 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Genetics and Plant Breeding (2 papers), Plant and Fungal Interactions Research (1 paper), Hormonal and reproductive studies (1 paper), Intestinal and Peritoneal Adhesions (1 paper), Substance Abuse Treatment and Outcomes (1 paper) and Statistical Methods and Applications (1 paper). The work is most often cited by research in Cancer Research (79 citations), Chemical Health and Safety (3 citations), Genetics (109 citations), Small Animals (25 citations) and Cell Biology (49 citations). Chad Brown has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Alison A. Motsinger‐Reif, John Jack, Ronglin Che, Howard L. McLeod, Tammy M. Havener, Marisa W. Medina, Marissa Shrader, M. V. Slayter, Daniel Logsdon and Craig L. Driver. Their work appears in journals such as BioData Mining, Frontiers in Genetics, Pharmacogenomics, The Pharmacogenomics Journal and Cancer Research.

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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