Aleksandr Petrov

88 total papers · 4.4k total citations
50 papers, 931 citations indexed

About

Aleksandr Petrov is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Aleksandr Petrov has authored 50 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Oncology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Aleksandr Petrov's work include Diabetes Treatment and Management (14 papers), Peptidase Inhibition and Analysis (11 papers) and Neuropeptides and Animal Physiology (11 papers). Aleksandr Petrov is often cited by papers focused on Diabetes Treatment and Management (14 papers), Peptidase Inhibition and Analysis (11 papers) and Neuropeptides and Animal Physiology (11 papers). Aleksandr Petrov collaborates with scholars based in United States, Russia and Italy. Aleksandr Petrov's co-authors include George J. Eiermann, Nancy A. Thornberry, Ann E. Weber, Joseph K. Wu, Huaibing He, Yue Feng, Kathryn A. Lyons, Barbara Leiting, Reshma A. Patel and Yun-Ping Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Aleksandr Petrov

44 papers receiving 894 citations

Author Peers

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

Author						Papers	Cites
Aleksandr Petrov	470	361	247	241	236	50	931
Lenka Žáková	287 0.6×	727 2.0×	80 0.3×	37 0.2×	244 1.0×	47	980
Ramakrishna Seethala	212 0.5×	629 1.7×	97 0.4×	286 1.2×	90 0.4×	36	1.2k
Steven C. Koerber	134 0.3×	689 1.9×	77 0.3×	195 0.8×	43 0.2×	42	1.1k
T. Saeki	237 0.5×	448 1.2×	110 0.4×	84 0.3×	261 1.1×	60	1.0k
Dietrich Brandenburg	182 0.4×	767 2.1×	71 0.3×	67 0.3×	236 1.0×	64	1.0k
Magdi M. Asaad	185 0.4×	411 1.1×	307 1.2×	189 0.8×	38 0.2×	45	1.1k
Cécile Cottet‐Rousselle	119 0.3×	680 1.9×	52 0.2×	77 0.3×	191 0.8×	35	1.2k
Manuel Grundmann	307 0.7×	825 2.3×	56 0.2×	300 1.2×	318 1.3×	33	1.2k
Johannes Schmidt	159 0.3×	585 1.6×	43 0.2×	202 0.8×	166 0.7×	30	995
Kazuki Matsui	84 0.2×	429 1.2×	74 0.3×	60 0.2×	68 0.3×	74	1.1k

Countries citing papers authored by Aleksandr Petrov

Since Specialization

Citations

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

Fields of papers citing papers by Aleksandr Petrov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandr Petrov

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandr Petrov. A scholar is included among the top collaborators of Aleksandr Petrov 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 Aleksandr Petrov. Aleksandr Petrov 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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