Abraham M. Brown

418 total citations
9 papers, 366 citations indexed

About

Abraham M. Brown is a scholar working on Molecular Biology, Clinical Biochemistry and Cell Biology. According to data from OpenAlex, Abraham M. Brown has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 3 papers in Cell Biology. Recurrent topics in Abraham M. Brown's work include Metabolism and Genetic Disorders (3 papers), Biochemical Acid Research Studies (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Abraham M. Brown is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Biochemical Acid Research Studies (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Abraham M. Brown collaborates with scholars based in United States, Russia and United Kingdom. Abraham M. Brown's co-authors include Julian M. Sturtevant, Irina G. Gazaryan, Bruce S. Kristal, G. A. Ashby, Boris F. Krasnikov, R. N. F. Thorneley, Donald M. Crothers, С. В. Казаков, Valentina A. Shchedrina and А. В. Ефимов and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Abraham M. Brown

9 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abraham M. Brown United States 6 255 85 70 62 62 9 366
Christopher M. Titman United Kingdom 8 240 0.9× 46 0.5× 128 1.8× 76 1.2× 30 0.5× 10 390
Alexander I. Shestopalov United States 9 226 0.9× 36 0.4× 23 0.3× 22 0.4× 105 1.7× 9 380
Vera Ott Germany 5 281 1.1× 101 1.2× 74 1.1× 39 0.6× 30 0.5× 6 395
Amy J. Clark United States 8 216 0.8× 40 0.5× 17 0.2× 58 0.9× 17 0.3× 13 395
Peter C. J. Roach United Kingdom 6 262 1.0× 62 0.7× 63 0.9× 19 0.3× 33 0.5× 7 364
Ingeborg A. Brand Germany 12 265 1.0× 32 0.4× 30 0.4× 20 0.3× 115 1.9× 16 487
Mirco Steger Germany 11 684 2.7× 30 0.4× 35 0.5× 123 2.0× 25 0.4× 14 819
Tom M. Yau United States 10 256 1.0× 23 0.3× 73 1.0× 37 0.6× 92 1.5× 14 424
Maria‐Armineh Tossounian United Kingdom 13 315 1.2× 18 0.2× 25 0.4× 29 0.5× 26 0.4× 19 423
H Nishino Japan 7 265 1.0× 60 0.7× 39 0.6× 34 0.5× 12 0.2× 15 397

Countries citing papers authored by Abraham M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Abraham M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abraham M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Abraham M. Brown. A scholar is included among the top collaborators of Abraham 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 Abraham M. Brown. Abraham M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Попов, А. М., Dmitry M. Hushpulian, С. В. Казаков, et al.. (2022). Probable Mechanisms of Doxorubicin Antitumor Activity Enhancement by Ginsenoside Rh2. Molecules. 27(3). 628–628. 8 indexed citations
2.
Zeman, Richard J., et al.. (2021). Role of the Polyol Pathway in Locomotor Recovery and Wallerian Degeneration after Spinal Cord Contusion Injury. SHILAP Revista de lepidopterología. 2(1). 411–423. 4 indexed citations
3.
Gazaryan, Irina G., et al.. (2020). Zinc Switch in Pig Heart Lipoamide Dehydrogenase: Steady-State and Transient Kinetic Studies of the Diaphorase Reaction. Biochemistry (Moscow). 85(8). 908–919. 1 indexed citations
4.
Brown, Abraham M., et al.. (2013). Perfusion imaging of spinal cord contusion: injury-induced blockade and partial reversal by β2-agonist treatment in rats. Journal of Neurosurgery Spine. 20(2). 164–171. 11 indexed citations
5.
Klyachko, Natalia L., Valentina A. Shchedrina, А. В. Ефимов, et al.. (2005). pH-dependent Substrate Preference of Pig Heart Lipoamide Dehydrogenase Varies with Oligomeric State. Journal of Biological Chemistry. 280(16). 16106–16114. 46 indexed citations
6.
Gazaryan, Irina G., Boris F. Krasnikov, G. A. Ashby, et al.. (2002). Zinc Is a Potent Inhibitor of Thiol Oxidoreductase Activity and Stimulates Reactive Oxygen Species Production by Lipoamide Dehydrogenase. Journal of Biological Chemistry. 277(12). 10064–10072. 149 indexed citations
7.
Brown, Abraham M., et al.. (1998). Characterization of endogenous APP processing in a cell-free system. AGE. 21(1). 15–23. 1 indexed citations
8.
Brown, Abraham M. & Donald M. Crothers. (1989). Modulation of the stability of a gene-regulatory protein dimer by DNA and cAMP.. Proceedings of the National Academy of Sciences. 86(19). 7387–7391. 34 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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