A. V. Makarevich

49 total papers · 564 total citations
41 papers, 465 citations indexed

About

A. V. Makarevich is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Molecular Biology. According to data from OpenAlex, A. V. Makarevich has authored 41 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Health, Environmental and Occupational Health, 13 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in A. V. Makarevich's work include Reproductive Biology and Fertility (26 papers), Reproductive Physiology in Livestock (10 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). A. V. Makarevich is often cited by papers focused on Reproductive Biology and Fertility (26 papers), Reproductive Physiology in Livestock (10 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). A. V. Makarevich collaborates with scholars based in Slovakia, Czechia and Poland. A. V. Makarevich's co-authors include Alexander V. Sirotkin, Peter Chrenek, L. Hetényi, J. Kotwica, J. Pivko, E. Kubovičová, M Mlynček, Lucia Olexíková, Hans‐Gottfried Genieser and Pierre‐Guy Marnet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Reproduction and Journal of Endocrinology.

In The Last Decade

A. V. Makarevich

38 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
A. V. Makarevich	266	136	111	104	100	41	465
Motoaki UMEZU	223 0.8×	160 1.2×	117 1.1×	145 1.4×	163 1.6×	46	548
G. Dijkstra	141 0.5×	142 1.0×	73 0.7×	134 1.3×	92 0.9×	25	486
G. Sturm	178 0.7×	203 1.5×	65 0.6×	87 0.8×	48 0.5×	48	527
H. M. A. Meijs-Roelofs	125 0.5×	241 1.8×	62 0.6×	75 0.7×	151 1.5×	40	545
Jerzy Galas	141 0.5×	168 1.2×	76 0.7×	83 0.8×	175 1.8×	35	461
Annie Benhaïm	176 0.7×	160 1.2×	115 1.0×	134 1.3×	150 1.5×	37	515
V. Praveen Chakravarthi	227 0.9×	175 1.3×	68 0.6×	147 1.4×	112 1.1×	34	458
Sharon A. Tonetta	213 0.8×	175 1.3×	114 1.0×	62 0.6×	97 1.0×	21	476
J. P. Bennett	133 0.5×	150 1.1×	44 0.4×	63 0.6×	47 0.5×	27	429
M.T. Hochereau-de Reviers	153 0.6×	270 2.0×	130 1.2×	106 1.0×	160 1.6×	22	451

Countries citing papers authored by A. V. Makarevich

Since Specialization

Citations

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

Fields of papers citing papers by A. V. Makarevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Makarevich

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