Scott M. Brown

900 citations
52 papers · 578 · h-index 15

Impact in

Papers in

Scott M. Brown

51 papers receiving 551 citations

Peers

Scott M. Brown
Comparison fields: 5 of 126
  • Oceanography 82
  • Developmental Biology 11
  • Earth-Surface Processes 27
  • Endocrinology, Diabetes and Metabolism 65
  • Agronomy and Crop Science 39
Replace Haiyan Pan with:
Haiyan Pan China
Thomas L. Anderson United States
Yi Wen China
Partha S. Bhattacharjee United States
Yunxia Guo China
Yoshiki Ito Japan
G Michel Germany
Hongbin Wang China
Lijuan Chen China
Akio Goto Japan
Scott M. Brown relative to Haiyan Pan China Haiyan Pan's profile →
Citations per field
00.5×6.5×
Haiyan Pan · 1×
Citations per year

Countries citing papers authored by Scott M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201944
3 200238
4 201524
5 199823
6 198322
7 201721
8 201820
9 201519
10 201619
11 200018
12 202018
13 202116
14 197915
15 202314
16 200214
17 201113
18 201813
19 200112
20 201510

About Scott M. Brown

Scott M. Brown is a scholar working on Artificial Intelligence, Genetics, Surgery, Information Systems and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 578 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Multi-Agent Systems and Negotiation (4 papers), Data Management and Algorithms (3 papers), Virus-based gene therapy research (3 papers), Logic, Reasoning, and Knowledge (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Oceanography (82 citations), Developmental Biology (11 citations), Earth-Surface Processes (27 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Agronomy and Crop Science (39 citations). Scott M. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Eugene Santos, Shawn B. Bender, Christopher J. Zappa, Frederick A. Eiserling, C. W. Fairall, Alejandro Cifuentes‐Lorenzen, Byron Blomquist, Hitoshi Tamura, Sheila B. Banks and Ian M. Brooks. Their work appears in journals such as Scientific Reports, Basic Research in Cardiology, Virology, Injury and Nuclear Medicine Communications.

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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