Yu.I. Arshavsky

1.8k citations
27 papers · 1.5k · h-index 22

Impact in

Papers in

Yu.I. Arshavsky

27 papers receiving 1.4k citations

Peers

Yu.I. Arshavsky
Comparison fields: 5 of 78
  • Neurology 441
  • Endocrine and Autonomic Systems 272
  • Cellular and Molecular Neuroscience 699
  • Cognitive Neuroscience 558
  • Sensory Systems 102
Replace Galina A Pavlova with:
Galina A Pavlova Russia
J. F. Iles United Kingdom
John Simmers France
Peter Wallén Sweden
Joyce Keifer United States
M. L. Shik Russia
Orlovskiĭ Gn
Paul S. G. Stein United States
C. Perret France
S. Grillner Sweden
Yu.I. Arshavsky relative to Galina A Pavlova Russia Galina A Pavlova's profile →
Citations per field
00.5×1.6×
Galina A Pavlova · 1×
Citations per year

Countries citing papers authored by Yu.I. Arshavsky

Since Specialization
Citations

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

Fields of papers citing papers by Yu.I. Arshavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Yu.I. Arshavsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu.I. Arshavsky Line = papers co-authored together Yu.I. Arshavsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972152
2 1972112
3 198593
4 199388
5 198587
6 197884
7 198983
8 198582
9 198073
10 198071
11 197865
12 199062
13 198660
14 198357
15 198654
16 198553
17 197845
18 197832
19 198827
20 198926

About Yu.I. Arshavsky

Yu.I. Arshavsky is a scholar working on Cellular and Molecular Neuroscience, Neurology, Ecology, Evolution, Behavior and Systematics, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Vestibular and auditory disorders (10 papers), Cephalopods and Marine Biology (8 papers), Neuroscience of respiration and sleep (8 papers), Ophthalmology and Eye Disorders (7 papers), Physiological and biochemical adaptations (5 papers), Neural dynamics and brain function (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Neurology (441 citations), Endocrine and Autonomic Systems (272 citations), Cellular and Molecular Neuroscience (699 citations), Cognitive Neuroscience (558 citations) and Sensory Systems (102 citations). Yu.I. Arshavsky has collaborated with scholars based in Russia, Sweden and Japan. Frequent co-authors include G. N. Orlovsky, Galina A Pavlova, Yuri V. Panchin, Israel M. Gelfand, Irina N. Beloozerova, O. I. Fukson, M. B. Berkinblit, T. G. Deliagina, L. B. Popova and C. Perret. Their work appears in journals such as Experimental Brain Research, Brain Research, Journal of Experimental Biology, Trends in Neurosciences and Comparative Biochemistry and Physiology Part C Comparative Pharmacology.

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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