M. Yu. Grabovich

76 total papers · 824 total citations
61 papers, 635 citations indexed

About

M. Yu. Grabovich is a scholar working on Ecology, Molecular Biology and Pollution. According to data from OpenAlex, M. Yu. Grabovich has authored 61 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Ecology, 37 papers in Molecular Biology and 13 papers in Pollution. Recurrent topics in M. Yu. Grabovich's work include Microbial Community Ecology and Physiology (42 papers), Genomics and Phylogenetic Studies (29 papers) and Microbial Fuel Cells and Bioremediation (13 papers). M. Yu. Grabovich is often cited by papers focused on Microbial Community Ecology and Physiology (42 papers), Genomics and Phylogenetic Studies (29 papers) and Microbial Fuel Cells and Bioremediation (13 papers). M. Yu. Grabovich collaborates with scholars based in Russia, United States and Germany. M. Yu. Grabovich's co-authors include Г. А. Дубинина, Jan Kuever, Ekaterina Gavrish, Maria S. Muntyan, V. Akimov, Anatoly M. Lysenko, Nikolai V. Ravin, Frederick A. Rainey, Maria N. Tutukina and Simona Rossetti and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

M. Yu. Grabovich

59 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
M. Yu. Grabovich 352 289 162 117 70 61 635
Judit Makk 354 1.0× 197 0.7× 90 0.6× 168 1.4× 51 0.7× 44 741
Virginia Helena Albarracín 356 1.0× 323 1.1× 119 0.7× 128 1.1× 68 1.0× 41 791
Blake W. Stamps 235 0.7× 232 0.8× 115 0.7× 161 1.4× 59 0.8× 48 720
Olga A. Podosokorskaya 411 1.2× 370 1.3× 141 0.9× 220 1.9× 106 1.5× 38 770
Holly C. Pinkart 247 0.7× 381 1.3× 175 1.1× 102 0.9× 129 1.8× 19 754
Katja Engel 334 0.9× 263 0.9× 241 1.5× 76 0.6× 45 0.6× 33 727
E. N. Detkova 344 1.0× 301 1.0× 75 0.5× 189 1.6× 74 1.1× 35 621
Hans‐Dietrich Babenzien 331 0.9× 210 0.7× 116 0.7× 260 2.2× 82 1.2× 33 685
Joo-Han Gwak 344 1.0× 212 0.7× 216 1.3× 132 1.1× 30 0.4× 26 556
Daniel Cerqueda‐García 207 0.6× 244 0.8× 148 0.9× 41 0.4× 43 0.6× 52 662

Countries citing papers authored by M. Yu. Grabovich

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu. Grabovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Yu. Grabovich. 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 M. Yu. Grabovich. The network helps show where M. Yu. Grabovich may publish in the future.

Co-authorship network of co-authors of M. Yu. Grabovich

This figure shows the co-authorship network connecting the top 25 collaborators of M. Yu. Grabovich. A scholar is included among the top collaborators of M. Yu. Grabovich 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 M. Yu. Grabovich. M. Yu. Grabovich 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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