Alexander G. Markov

93 total papers · 1.5k total citations
56 papers, 920 citations indexed

About

Alexander G. Markov is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Alexander G. Markov has authored 56 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 32 papers in Neurology and 9 papers in Physiology. Recurrent topics in Alexander G. Markov's work include Barrier Structure and Function Studies (32 papers), Gut microbiota and health (22 papers) and Connexins and lens biology (14 papers). Alexander G. Markov is often cited by papers focused on Barrier Structure and Function Studies (32 papers), Gut microbiota and health (22 papers) and Connexins and lens biology (14 papers). Alexander G. Markov collaborates with scholars based in Russia, Germany and United States. Alexander G. Markov's co-authors include Salah Amasheh, Michael Fromm, Maren Amasheh, Roman N. Rodionov, Jörg R. Aschenbach, Stefan R. Bornstein, Felix Beuschlein, Rinkoo Dalan, Ben Wielockx and Ali El‐Armouche and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Alexander G. Markov

50 papers receiving 901 citations

Author Peers

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

Author						Papers	Cites
Alexander G. Markov	394	334	116	115	96	56	920
Manju Ghosh	467 1.2×	166 0.5×	62 0.5×	49 0.4×	118 1.2×	47	1.1k
Hidehiko Suzuki	289 0.7×	141 0.4×	118 1.0×	130 1.1×	57 0.6×	50	826
H. Sakamoto	223 0.6×	146 0.4×	124 1.1×	69 0.6×	68 0.7×	37	829
Sarah Kempster	389 1.0×	86 0.3×	136 1.2×	126 1.1×	58 0.6×	32	816
Azusa Takahashi	512 1.3×	488 1.5×	41 0.4×	123 1.1×	56 0.6×	38	853
Prodyot K. Chatterjee	304 0.8×	166 0.5×	68 0.6×	180 1.6×	109 1.1×	38	1.2k
Juanmin Zha	548 1.4×	246 0.7×	169 1.5×	54 0.5×	44 0.5×	30	1.1k
Renzhong Liu	371 0.9×	81 0.2×	118 1.0×	83 0.7×	64 0.7×	40	943
Shinsaku Tokuda	457 1.2×	384 1.1×	85 0.7×	25 0.2×	221 2.3×	51	1.0k
Thomas Ma	415 1.1×	234 0.7×	92 0.8×	28 0.2×	38 0.4×	52	921

Countries citing papers authored by Alexander G. Markov

Since Specialization

Citations

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

Fields of papers citing papers by Alexander G. Markov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander G. Markov. 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 Alexander G. Markov. The network helps show where Alexander G. Markov may publish in the future.

Co-authorship network of co-authors of Alexander G. Markov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander G. Markov. A scholar is included among the top collaborators of Alexander G. Markov 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 Alexander G. Markov. Alexander G. Markov 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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