Vladimir V. Rogov

14.1k citations
103 papers · 6.2k indexed · 4 hit papers · h-index 32
Topics
Autophagy in Disease and Therapy (21 papers)Ubiquitin and proteasome pathways (15 papers)Protein Structure and Dynamics (14 papers)

In The Last Decade

Vladimir V. Rogov

101 papers receiving 6.1k citations

Hit Papers

Nix is a selective autophagy receptor for mitochondrial c...200920262014202020092011201420192505007501000

Peers

Vladimir V. Rogov
Comparison fields: 5 of 135
  • Epidemiology 3.5k
  • Molecular Biology 3.3k
  • Cell Biology 1.3k
  • Immunology 614
  • Physiology 533
Replace Nobuo N. Noda with:
Nobuo N. Noda Japan
Mathew E. Sowa United States
Ileana M. Cristea United States
Soichi Wakatsuki Japan
Brenda A. Schulman United States
Huib Ovaa Netherlands
Tokuko Haraguchi Japan
Michael G. Roth United States
Diana R. Tomchick United States
Kalle Gehring Canada
Vladimir V. Rogov relative to Nobuo N. Noda Japan Nobuo N. Noda's profile →
Citations per field
00.5×1.5×
Nobuo N. Noda · 1×
Citations per year

Countries citing papers authored by Vladimir V. Rogov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir V. Rogov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir V. Rogov

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 8
4 3
5 9
6 22
7 49
8 93
9 59
10 136
11 234
12 36
13
Phosphorylation of the Autophagy Receptor Optineurin Restricts Salmonella Growthbreakdown →
1030
14 16
15 76
16 185
17 105
18 27
19 121
20 50

About Vladimir V. Rogov

Vladimir V. Rogov is a scholar working on Physiology, Condensed Matter Physics and Cell Biology, having authored 103 papers that have together received 6.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (21 papers), Ubiquitin and proteasome pathways (15 papers) and Protein Structure and Dynamics (14 papers). The work is most often cited by research in Physiology (533 citations), Epidemiology (3.5k citations) and Cell Biology (1.3k citations). Vladimir V. Rogov has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Volker Dötsch, Vladimir Kirkin, Ivan Đikić, Terje Johansen, Frank Löhr, David G. McEwan, Philipp S. Wild, Sebastian Wagner, Alexis Rozenknop and Nathan Brady. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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