Gennady Poda

86 total papers · 1.4k total citations
33 papers, 736 citations indexed

About

Gennady Poda is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gennady Poda has authored 33 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gennady Poda's work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). Gennady Poda is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). Gennady Poda collaborates with scholars based in Canada, Ukraine and United States. Gennady Poda's co-authors include Igor V. Tetko, Andriy I. Vovk, Vsevolod Yu. Tanchuk, Lionel Moulédous, Jean‐Claude Meunier, Christopher M. Topham, Bernard Maigret, Andrei K. Yudin, Shinya Adachi and Jeffrey D. St. Denis and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Journal of Medicinal Chemistry.

In The Last Decade

Gennady Poda

29 papers receiving 712 citations

Author Peers

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

Author						Papers	Cites
Gennady Poda	473	153	146	105	58	33	736
Beilei Lei	497 1.1×	160 1.0×	155 1.1×	93 0.9×	141 2.4×	50	809
David O. Nettleton	455 1.0×	132 0.9×	69 0.5×	47 0.4×	142 2.4×	30	859
Rahul P. Gangwal	354 0.7×	162 1.1×	117 0.8×	31 0.3×	118 2.0×	29	857
Kenneth S. Santone	274 0.6×	134 0.9×	67 0.5×	66 0.6×	110 1.9×	29	890
Thomas Ryckmans	491 1.0×	303 2.0×	105 0.7×	101 1.0×	77 1.3×	29	862
Thomas N. O’Connell	366 0.8×	125 0.8×	111 0.8×	47 0.4×	87 1.5×	19	697
Giorgio Ottaviani	188 0.4×	144 0.9×	110 0.8×	39 0.4×	73 1.3×	22	629
Randall R. Miller	409 0.9×	119 0.8×	68 0.5×	35 0.3×	151 2.6×	27	903
João T. S. Coimbra	312 0.7×	93 0.6×	149 1.0×	51 0.5×	58 1.0×	33	628
Annalisa De Palma	525 1.1×	191 1.2×	103 0.7×	53 0.5×	49 0.8×	36	876

Countries citing papers authored by Gennady Poda

Since Specialization

Citations

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

Fields of papers citing papers by Gennady Poda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gennady Poda

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact