Gorelov Ai

80 total papers · 500 total citations
27 papers, 366 citations indexed

About

Gorelov Ai is a scholar working on Surgery, Epidemiology and Urology. According to data from OpenAlex, Gorelov Ai has authored 27 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Epidemiology and 6 papers in Urology. Recurrent topics in Gorelov Ai's work include Bladder and Urothelial Cancer Treatments (5 papers), Renal cell carcinoma treatment (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Gorelov Ai is often cited by papers focused on Bladder and Urothelial Cancer Treatments (5 papers), Renal cell carcinoma treatment (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Gorelov Ai collaborates with scholars based in Russia, France and Canada. Gorelov Ai's co-authors include Louis Lacombe, Bernard Escudier, Leah Isakov, Henryk Zieliński, Florentina Teofilovici, Christopher G. Wood, Pramod K. Srivastava, Ronald M. Bukowski, Axel Hoos and Renu Gupta and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gorelov Ai

25 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Gorelov Ai	177	147	133	110	58	27	366
Susanna Lintula	150 0.8×	42 0.3×	81 0.6×	93 0.8×	58 1.0×	20	335
A. G. Morris	108 0.6×	68 0.5×	115 0.9×	43 0.4×	40 0.7×	26	384
Sara Belluco	112 0.6×	73 0.5×	81 0.6×	77 0.7×	56 1.0×	31	372
H. B. Andervont	123 0.7×	48 0.3×	75 0.6×	36 0.3×	38 0.7×	31	395
Takeshi Saito	63 0.4×	165 1.1×	75 0.6×	39 0.4×	68 1.2×	22	326
Tsuneo Fujii	78 0.4×	64 0.4×	105 0.8×	28 0.3×	73 1.3×	24	362
Toshio Honma	122 0.7×	85 0.6×	97 0.7×	93 0.8×	76 1.3×	28	389
Lifang Cui	119 0.7×	64 0.4×	118 0.9×	49 0.4×	17 0.3×	24	309
Alpana Sharma	71 0.4×	88 0.6×	58 0.4×	48 0.4×	113 1.9×	27	300
Valentina Caputo	71 0.4×	106 0.7×	75 0.6×	34 0.3×	37 0.6×	27	393

Countries citing papers authored by Gorelov Ai

Since Specialization

Citations

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

Fields of papers citing papers by Gorelov Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gorelov Ai. 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 Gorelov Ai. The network helps show where Gorelov Ai may publish in the future.

Co-authorship network of co-authors of Gorelov Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Gorelov Ai. A scholar is included among the top collaborators of Gorelov Ai 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 Gorelov Ai. Gorelov Ai 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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