I.G. Sinakevitch

1.9k citations
38 papers · 1.5k · h-index 19

Impact in

Papers in

I.G. Sinakevitch

37 papers receiving 1.5k citations

Peers

I.G. Sinakevitch
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 28
  • Cognitive Neuroscience 165
  • Endocrine and Autonomic Systems 23
  • Insect Science 40
Replace Varvara E. Dyakonova with:
Varvara E. Dyakonova Russia
Nikolai C. Dembrow United States
Ryuichi Okada Japan
Andreas S. Thum Germany
Hans‐Joachim Pflüger Germany
Wolf Huetteroth Germany
J.P. Bacon United Kingdom
Ferdinand S. Vilim United States
Yufeng Pan China
Anders Enjin Sweden
I.G. Sinakevitch relative to Varvara E. Dyakonova Russia Varvara E. Dyakonova's profile →
Citations per field
00.5×2×2.8×
Varvara E. Dyakonova · 1×
Citations per year

Countries citing papers authored by I.G. Sinakevitch

Since Specialization
Citations

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

Fields of papers citing papers by I.G. Sinakevitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I.G. Sinakevitch, 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 I.G. Sinakevitch Line = papers co-authored together I.G. Sinakevitch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007198
2 2009188
3 2003136
4 2003105
5 2005104
6 200391
7 200588
8 200166
9 201150
10 200346
11 201046
12 200741
13 200539
14 201334
15 201834
16 199630
17 200628
18 199425
19 201719
20 201716

About I.G. Sinakevitch

I.G. Sinakevitch is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Neurology and Cell Biology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (35 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (2 papers), RNA Interference and Gene Delivery (1 paper), Visual perception and processing mechanisms (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (28 citations), Cognitive Neuroscience (165 citations), Endocrine and Autonomic Systems (23 citations) and Insect Science (40 citations). I.G. Sinakevitch has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Nicholas James Strausfeld, Sarah M. Farris, Brian H. Smith, Sheena M. Brown, Ilya Vilinsky, Mamiko Niwa, M. Geffard, John K. Douglass, Gerhard Scholtz and Rudi Loesel. Their work appears in journals such as The Journal of Comparative Neurology, Arthropod Structure & Development, Frontiers in Systems Neuroscience, Journal of Experimental Biology and Journal of Visualized Experiments.

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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