Aviva Katz

17 total papers · 479 total citations
13 papers, 405 citations indexed

About

Aviva Katz is a scholar working on Molecular Biology, Biochemistry and Pharmacology. According to data from OpenAlex, Aviva Katz has authored 13 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Pharmacology. Recurrent topics in Aviva Katz's work include Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Ion channel regulation and function (2 papers). Aviva Katz is often cited by papers focused on Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Ion channel regulation and function (2 papers). Aviva Katz collaborates with scholars based in Israel, United States and Russia. Aviva Katz's co-authors include Chaim Kahana, Leo G. Herbette, Julian M. Sturtevant, Jacob Hochman, Frank C. Messineo, Uriel Bachrach, M. Silverman, Richard G. Hegele, Yacob Weinstein and Emily R. Levy and has published in prestigious journals such as Nature, Molecular and Cellular Biology and Journal of the American Society of Nephrology.

In The Last Decade

Aviva Katz

12 papers receiving 390 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aviva Katz 300 110 48 40 39 13 405
Nestor C. Fournier 314 1.0× 46 0.4× 45 0.9× 20 0.5× 21 0.5× 9 432
Paul A. Mieyal 240 0.8× 173 1.6× 30 0.6× 26 0.7× 25 0.6× 10 458
Pushkaraj J. Lad 240 0.8× 50 0.5× 19 0.4× 47 1.2× 62 1.6× 23 440
Jason Wong 275 0.9× 42 0.4× 16 0.3× 18 0.5× 44 1.1× 12 448
Kwangman Choi 268 0.9× 57 0.5× 58 1.2× 14 0.3× 40 1.0× 12 439
Thorsten Hanhoff 318 1.1× 40 0.4× 49 1.0× 23 0.6× 10 0.3× 8 463
Tomoyoshi Koyanagi 352 1.2× 26 0.2× 104 2.2× 44 1.1× 31 0.8× 20 479
Martina Klevstig 285 0.9× 68 0.6× 44 0.9× 20 0.5× 31 0.8× 14 443
Marie-Hélène Grazide 260 0.9× 37 0.3× 27 0.6× 25 0.6× 52 1.3× 16 475
Keisuke Hirasawa 292 1.0× 36 0.3× 20 0.4× 25 0.6× 95 2.4× 18 451

Countries citing papers authored by Aviva Katz

Since Specialization
Citations

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

Fields of papers citing papers by Aviva Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aviva Katz. 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 Aviva Katz. The network helps show where Aviva Katz may publish in the future.

Co-authorship network of co-authors of Aviva Katz

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

All Works

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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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