A M Brown

2.3k total citations
29 papers, 1.8k citations indexed

About

A M Brown is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, A M Brown has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in A M Brown's work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). A M Brown is often cited by papers focused on Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). A M Brown collaborates with scholars based in United States, United Kingdom and Germany. A M Brown's co-authors include W R Saum, Pamela Cowin, Roger Bradley, G F Gibbons, Atsuko Yatani, Abdel-Malek Hebbachi, David Wiggins, A. Schwartz, Barbara A. Wible and Lutz Birnbaumer and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

A M Brown

28 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A M Brown United States 22 942 737 448 278 201 29 1.8k
H. Majewski Australia 26 1.2k 1.3× 664 0.9× 903 2.0× 626 2.3× 114 0.6× 107 2.3k
Kavin Desai United States 10 857 0.9× 450 0.6× 354 0.8× 268 1.0× 81 0.4× 16 1.4k
Rosemary D. Bevan United States 25 531 0.6× 445 0.6× 382 0.9× 633 2.3× 127 0.6× 72 1.9k
Thomas J. Heppner United States 24 1.5k 1.6× 684 0.9× 602 1.3× 749 2.7× 287 1.4× 60 2.9k
Kirill Essin Germany 17 729 0.8× 407 0.6× 379 0.8× 379 1.4× 76 0.4× 19 1.8k
I.S. de la Lande Australia 18 627 0.7× 276 0.4× 520 1.2× 558 2.0× 70 0.3× 74 1.5k
Noel W. Davies United Kingdom 25 1.9k 2.1× 970 1.3× 1.1k 2.5× 655 2.4× 117 0.6× 36 2.8k
Philip D. Langton United Kingdom 20 891 0.9× 450 0.6× 406 0.9× 625 2.2× 83 0.4× 29 1.6k
James L. Kenyon United States 31 1.8k 1.9× 1.1k 1.5× 1.0k 2.3× 332 1.2× 61 0.3× 51 2.3k
Ursula Ganten Germany 28 868 0.9× 1.2k 1.6× 304 0.7× 477 1.7× 137 0.7× 63 2.4k

Countries citing papers authored by A M Brown

Since Specialization
Citations

This map shows the geographic impact of A 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 A 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 A M Brown more than expected).

Fields of papers citing papers by A M Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A M Brown

This figure shows the co-authorship network connecting the top 25 collaborators of A M Brown. A scholar is included among the top collaborators of A 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 A M Brown. A 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.
Soman, Kizhake V., J. Andrew McCammon, & A M Brown. (1995). Secondary structure prediction of the H5 pore of potassium channels. Protein Engineering Design and Selection. 8(4). 397–401. 8 indexed citations
2.
Kiehn, Johann, Barbara A. Wible, Eckhard Ficker, Maurizio Taglialatela, & A M Brown. (1995). Cloned Human Inward Rectifier K + Channel as a Target for Class III Methanesulfonanilides. Circulation Research. 77(6). 1151–1155. 22 indexed citations
3.
Critz, Stuart D., Barbara A. Wible, Héctor S. López, & A M Brown. (1993). Stable Expression and Regulation of a Rat Brain K+ Channel. Journal of Neurochemistry. 60(3). 1175–1178. 58 indexed citations
4.
Brown, A M, Jürgen Drewe, Hali A. Hartmann, et al.. (1993). The Potassium Pore and Its Regulationa. Annals of the New York Academy of Sciences. 707(1). 74–80. 3 indexed citations
5.
Rampe, David, Barbara A. Wible, David Fedida, Richard C. Dage, & A M Brown. (1993). Verapamil blocks a rapidly activating delayed rectifier K+ channel cloned from human heart.. Molecular Pharmacology. 44(3). 642–648. 60 indexed citations
6.
Lacerda, Antonio E., William Crumb, David Rampe, et al.. (1993). Very long openings of cardiac calcium channels exposed to FPL 64176. 2. 117. 1 indexed citations
7.
Okabe, Koji, Atsuko Yatani, & A M Brown. (1991). The nature and origin of spontaneous noise in G protein-gated ion channels.. The Journal of General Physiology. 97(6). 1279–1293. 38 indexed citations
8.
Rampe, David, A. Skattebøl, D. J. Triggle, & A M Brown. (1989). Effects of McN-6186 on voltage-dependent Ca++ channels in heart and pituitary cells.. Journal of Pharmacology and Experimental Therapeutics. 248(1). 164–170. 8 indexed citations
9.
Yatani, Atsuko, A M Brown, & A. Schwartz. (1986). Bepridil block of cardiac calcium and sodium channels.. Journal of Pharmacology and Experimental Therapeutics. 237(1). 9–17. 96 indexed citations
10.
Brown, A M, Diana L. Kunze, & H. D. Lux. (1986). Single Calcium Channels and Their Inactivation. PubMed. 6(2). 73–81. 7 indexed citations
11.
Lux, H. D. & A M Brown. (1984). Single Channel Studies on Inactivation of Calcium Currents. Science. 225(4660). 432–434. 54 indexed citations
12.
Wilcox, Robert A., et al.. (1982). Is exercise good for high blood pressure?. BMJ. 285(6344). 767–769. 95 indexed citations
13.
Brown, A M, et al.. (1980). Hypotensive effects of cardiac glycosides in spontaneously hypertensive rats.. Journal of Pharmacology and Experimental Therapeutics. 213(3). 520–524. 6 indexed citations
14.
Brown, A M. (1980). Receptors under pressure. An update on baroreceptors.. Circulation Research. 46(1). 1–10. 196 indexed citations
15.
Andresen, Michael, et al.. (1979). Individual and combined actions of calcium, sodium, and potassium ions on baroreceptors in the rat.. Circulation Research. 45(6). 757–763. 37 indexed citations
16.
Brown, A M, W R Saum, & Shin Yasui. (1978). Baroreceptor dynamics and their relationship to afferent fiber type and hypertension.. Circulation Research. 42(5). 694–702. 75 indexed citations
17.
Brown, A M, et al.. (1976). A comparison of aortic baroreceptor discharge in normotensive and spontaneously hypertensive rats.. Circulation Research. 39(4). 488–496. 106 indexed citations
18.
Saum, W R, et al.. (1976). An electrogenic sodium pump and baroreceptor function in normotensive and spontaneously hypertensive rats.. Circulation Research. 39(4). 497–505. 60 indexed citations
19.
Brown, A M, et al.. (1975). Phototransduction in Aplysia Neurons: Calcium Release from Pigmented Granules Is Essential. Science. 188(4184). 157–160. 59 indexed citations
20.
Recordati, G, Federico Lombardi, Alberto Malliani, & A M Brown. (1974). Instantaneous dimensional changes of the right atrium of the cat.. Journal of Applied Physiology. 36(6). 686–692. 17 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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