И. Г. Силькис

96 total papers · 502 total citations
70 papers, 339 citations indexed

About

И. Г. Силькис is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, И. Г. Силькис has authored 70 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cellular and Molecular Neuroscience, 40 papers in Cognitive Neuroscience and 12 papers in Neurology. Recurrent topics in И. Г. Силькис's work include Neuroscience and Neuropharmacology Research (38 papers), Neural dynamics and brain function (18 papers) and Memory and Neural Mechanisms (16 papers). И. Г. Силькис is often cited by papers focused on Neuroscience and Neuropharmacology Research (38 papers), Neural dynamics and brain function (18 papers) and Memory and Neural Mechanisms (16 papers). И. Г. Силькис collaborates with scholars based in Russia, Switzerland and United States. И. Г. Силькис's co-authors include S. Sh. Rapoport, Alessandro E. P. Villa, Lavinia Albéri, Alessandra Lintas, V. А. Markevich and В. Б. Дорохов and has published in prestigious journals such as Brain Research, Biosystems and Neuroscience and Behavioral Physiology.

In The Last Decade

И. Г. Силькис

64 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
И. Г. Силькис	215	200	70	40	29	70	339
Ryan A. Bartholomew	169 0.8×	192 1.0×	77 1.1×	49 1.2×	11 0.4×	31	402
R Guerrero-Figueroa	206 1.0×	146 0.7×	39 0.6×	49 1.2×	40 1.4×	42	394
P Borenstein	117 0.5×	174 0.9×	28 0.4×	42 1.1×	24 0.8×	43	391
Rajat S. Shivacharan	186 0.9×	233 1.2×	52 0.7×	25 0.6×	12 0.4×	16	380
Madeleine Sharp	94 0.4×	132 0.7×	122 1.7×	38 0.9×	40 1.4×	22	393
David Asdourian	141 0.7×	142 0.7×	46 0.7×	26 0.7×	25 0.9×	26	352
J. L. Velayos	180 0.8×	153 0.8×	66 0.9×	79 2.0×	11 0.4×	17	319
Bastiaan Bruinsma	151 0.7×	214 1.1×	29 0.4×	61 1.5×	36 1.2×	16	349
Margalida Coll-Andreu	118 0.5×	154 0.8×	81 1.2×	30 0.8×	34 1.2×	25	398
G Vuillon-Cacciuttolo	164 0.8×	116 0.6×	31 0.4×	48 1.2×	19 0.7×	28	303

Countries citing papers authored by И. Г. Силькис

Since Specialization

Citations

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

Fields of papers citing papers by И. Г. Силькис

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. Г. Силькис. 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 И. Г. Силькис. The network helps show where И. Г. Силькис may publish in the future.

Co-authorship network of co-authors of И. Г. Силькис

This figure shows the co-authorship network connecting the top 25 collaborators of И. Г. Силькис. A scholar is included among the top collaborators of И. Г. Силькис 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 И. Г. Силькис. И. Г. Силькис 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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