David G. Brown

6.6k citations
132 papers · 5.0k · h-index 33

Impact in

Papers in

    • Cell death mechanisms and regulation 7
    • DNA and Nucleic Acid Chemistry 7
    • RNA and protein synthesis mechanisms 6
    • Medical Imaging Techniques and Applications 11
    • Advanced MRI Techniques and Applications 10
    • Ultrasound Imaging and Elastography 6

David G. Brown

122 papers receiving 4.7k citations

Peers

David G. Brown
Comparison fields: 5 of 195
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Virology 221
  • Molecular Biology 2.0k
  • Biomedical Engineering 870
  • Immunology 351
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Citations per field
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Citations per year

Countries citing papers authored by David G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by David G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990391
2 1993366
3 1985278
4 2000266
5 1987258
6 1999254
7 2010242
8 2011208
9 1994173
10 1986172
11 2001159
12 1979147
13 1992126
14 198698
15 200490
16 199587
17 200587
18
The mobile professors
196783
19 197275
20 198671

About David G. Brown

David G. Brown is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 5.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (10 papers), Cell death mechanisms and regulation (7 papers), DNA and Nucleic Acid Chemistry (7 papers), Ultrasound Imaging and Elastography (6 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Virology (221 citations), Molecular Biology (2.0k citations), Biomedical Engineering (870 citations) and Immunology (351 citations). David G. Brown has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Robert F. Wagner, Gerald M. Cohen, Michael F. Insana, Kelvin Cain, Xiaoming Sun, Claudia Langlais, Timothy J. Hall, Donald S. Coffey, Stephen Neidle and Shawn B. Bratton. Their work appears in journals such as Journal of Biological Chemistry, The Journal of the Acoustical Society of America, Journal of Medicinal Chemistry, The Journal of Higher Education and Medical 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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