Scott M. Brown

900 total citations
52 papers, 578 citations indexed

About

Scott M. Brown is a scholar working on Artificial Intelligence, Genetics and Surgery. According to data from OpenAlex, Scott M. Brown has authored 52 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Genetics and 7 papers in Surgery. Recurrent topics in Scott M. Brown's work include Multi-Agent Systems and Negotiation (4 papers), Hormonal Regulation and Hypertension (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). Scott M. Brown is often cited by papers focused on Multi-Agent Systems and Negotiation (4 papers), Hormonal Regulation and Hypertension (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). Scott M. Brown collaborates with scholars based in United States, United Kingdom and Australia. Scott M. Brown's co-authors include Eugene Santos, Shawn B. Bender, Christopher J. Zappa, Frederick A. Eiserling, C. W. Fairall, Ian M. Brooks, Sheila B. Banks, Alejandro Cifuentes‐Lorenzen, Hitoshi Tamura and Byron Blomquist and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Molecular Biology and Stroke.

In The Last Decade

Scott M. Brown

51 papers receiving 551 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott M. Brown United States 15 104 82 65 62 60 52 578
Yi Wen China 13 123 1.2× 29 0.4× 37 0.6× 40 0.6× 14 0.2× 45 587
Thomas L. Anderson United States 21 78 0.8× 31 0.4× 22 0.3× 13 0.2× 16 0.3× 84 1.4k
Haiyan Pan China 18 154 1.5× 20 0.2× 10 0.2× 139 2.2× 12 0.2× 46 1.1k
Manfred Lehner Germany 26 456 4.4× 25 0.3× 9 0.1× 73 1.2× 55 0.9× 95 2.2k
Yimin Japan 14 183 1.8× 12 0.1× 31 0.5× 19 0.3× 18 0.3× 106 692
Yunxia Guo China 12 150 1.4× 36 0.4× 13 0.2× 39 0.6× 29 0.5× 49 473
Partha S. Bhattacharjee United States 25 268 2.6× 9 0.1× 31 0.5× 284 4.6× 108 1.8× 73 1.7k
Hidenori Takahashi Japan 14 63 0.6× 13 0.2× 15 0.2× 14 0.2× 43 0.7× 50 959
Chung‐Chi Lin Taiwan 18 67 0.6× 98 1.2× 33 0.5× 199 3.2× 3 0.1× 128 1.1k
Yoshiki Ito Japan 16 373 3.6× 27 0.3× 33 0.5× 47 0.8× 21 0.3× 94 1.1k

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-authorship network of co-authors of Scott M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Brown. A scholar is included among the top collaborators of Scott M. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott M. Brown. Scott M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dona, Malathi S.I., Ian C. Hsu, Scott M. Brown, et al.. (2023). Multi-omic analysis of the cardiac cellulome defines a vascular contribution to cardiac diastolic dysfunction in obese female mice. Basic Research in Cardiology. 118(1). 11–11. 14 indexed citations
3.
Brown, Scott M., et al.. (2022). Retrospective analysis of locked versus non-locked plating of distal fibula fractures. Injury. 54(2). 768–771. 3 indexed citations
4.
Grisanti, Laurel A., et al.. (2021). Reversion inducing cysteine rich protein with Kazal motifs and cardiovascular diseases: The RECKlessness of adverse remodeling. Cellular Signalling. 83. 109993–109993. 16 indexed citations
5.
Almekhlafi, Mohammed, Mayank Goyal, Diederik W.J. Dippel, et al.. (2021). Abstract 17: Time-Benefit Association is Magnified in Door-To-Puncture Window: Lose 1 Second, Lose 2.2 Hours of Healthy Life. Stroke. 52(Suppl_1). 1 indexed citations
6.
Brown, Scott M., et al.. (2018). Mineralocorticoid receptor antagonism reverses diabetes-related coronary vasodilator dysfunction: A unique vascular transcriptomic signature. Pharmacological Research. 134. 100–108. 20 indexed citations
7.
Rahlff, Janina, Mariana Ribas‐Ribas, Scott M. Brown, et al.. (2018). Blue pigmentation of neustonic copepods benefits exploitation of a prey-rich niche at the air-sea boundary. Scientific Reports. 8(1). 11510–11510. 13 indexed citations
8.
Cerini, Fabrice, Hubert Gaertner, Knut Madden, et al.. (2015). A scalable low-cost cGMP process for clinical grade production of the HIV inhibitor 5P12-RANTES in Pichia pastoris. Protein Expression and Purification. 119. 1–10. 19 indexed citations
9.
Zappa, Christopher J., et al.. (2014). Local effects of ice floes and leads on skin sea surface temperature, mixing and gas transfer in the marginal ice zone. EGU General Assembly Conference Abstracts. 17004. 1 indexed citations
10.
Brown, Scott M., et al.. (2011). The Apert Hand—Angiographic Planning of a Single-Stage, 5-Digit Release for All Classes of Deformity. The Journal Of Hand Surgery. 37(1). 152–158. 13 indexed citations
11.
Winslow, Barbara J., Dalia Kalabat, Scott M. Brown, Mark D. Cochran, & Ellen W. Collisson. (2005). Feline B7.1 and B7.2 proteins produced from swinepox virus vectors are natively processed and biologically active: Potential for use as nonchemical adjuvants. Veterinary Microbiology. 111(1-2). 1–13. 8 indexed citations
12.
Brown, Scott M., et al.. (2003). A Model of Venous Return While Utilizing Vacuum Assist During Cardiopulmonary Bypass. Journal of ExtraCorporeal Technology. 35(3). 224–229. 7 indexed citations
13.
Brown, Scott M., Parongama Sen, & David G. Cory. (2002). Scaling Laws in NMR Scattering via Dipolar Fields. Journal of Magnetic Resonance. 154(1). 154–156. 8 indexed citations
14.
Santos, Eugene, et al.. (1999). Identifying and Handling Structural Incompleteness for Validation of Probabilistic Knowledge-Bases. The Florida AI Research Society. 506–510. 5 indexed citations
15.
Santos, Eugene, et al.. (1999). Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries. The Florida AI Research Society. 3–7. 9 indexed citations
16.
Mullenbach, Guy T., Jeffrey M. Blaney, Susan M. Rosenberg, et al.. (1998). Modification of a receptor-binding surface of epidermal growth factor (EGF): analogs with enhanced receptor affinity at low pH or at neutrality. Protein Engineering Design and Selection. 11(6). 473–480. 9 indexed citations
17.
Brown, Scott M.. (1987). WATCH OUT FOR NELSON EDDY. 69(1).
18.
Brown, Scott M., et al.. (1987). Observations of the changes in standing height at the time of puberty. Annals of Human Biology. 14(5). 449–452. 1 indexed citations
19.
Batchelor, Susan, et al.. (1985). Emission tomography. Nuclear Medicine Communications. 6(7). 405–414. 1 indexed citations
20.
Brown, Scott M., et al.. (1983). Attachment of tail fibers in bacteriophage T4 assembly. Journal of Molecular Biology. 169(2). 427–437. 22 indexed citations

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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