Е И Гусев

33 total papers · 443 total citations
14 papers, 330 citations indexed

About

Е И Гусев is a scholar working on Pathology and Forensic Medicine, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Е И Гусев has authored 14 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 3 papers in Neurology and 3 papers in Psychiatry and Mental health. Recurrent topics in Е И Гусев's work include Multiple Sclerosis Research Studies (5 papers), Epilepsy research and treatment (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). Е И Гусев is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Epilepsy research and treatment (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). Е И Гусев collaborates with scholars based in Russia and United States. Е И Гусев's co-authors include Alla Guekht, А. В. Лебедева, О. О. Фаворова, S. V. Skurkovich, О. Г. Кулакова, Boris Skurkovich, А. Н. Бойко, Veronika Skvortsova, Е. В. Попова and Alexey Boyко and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neuroimmunology and Multiple Sclerosis Journal.

In The Last Decade

Е И Гусев

13 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Е И Гусев	168	143	57	56	51	14	330
Adrian Pace	88 0.5×	60 0.4×	56 1.0×	14 0.3×	114 2.2×	15	331
R Mutani	73 0.4×	42 0.3×	52 0.9×	32 0.6×	73 1.4×	13	302
Allen D. DeSena	66 0.4×	30 0.2×	44 0.8×	21 0.4×	44 0.9×	14	358
Vikram Bhise	95 0.6×	63 0.4×	18 0.3×	11 0.2×	122 2.4×	19	271
Silvia Vieker	103 0.6×	38 0.3×	17 0.3×	14 0.3×	118 2.3×	13	311
Simon Ling	35 0.2×	36 0.3×	31 0.5×	36 0.6×	24 0.5×	10	328
Federica Ranzato	99 0.6×	61 0.4×	19 0.3×	19 0.3×	111 2.2×	15	261
Eleonora Mauri	84 0.5×	40 0.3×	11 0.2×	25 0.4×	30 0.6×	22	330
M. J. Noronha	76 0.5×	33 0.2×	18 0.3×	20 0.4×	96 1.9×	17	294
Yan‐Zeng Jia	149 0.9×	102 0.7×	10 0.2×	11 0.2×	15 0.3×	14	353

Countries citing papers authored by Е И Гусев

Since Specialization

Citations

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

Fields of papers citing papers by Е И Гусев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е И Гусев

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