Roman Sukhanov

69 total papers · 848 total citations
39 papers, 595 citations indexed

About

Roman Sukhanov is a scholar working on Urology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Roman Sukhanov has authored 39 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Urology, 16 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Roman Sukhanov's work include Urinary Bladder and Prostate Research (20 papers), Prostate Cancer Diagnosis and Treatment (11 papers) and Urological Disorders and Treatments (11 papers). Roman Sukhanov is often cited by papers focused on Urinary Bladder and Prostate Research (20 papers), Prostate Cancer Diagnosis and Treatment (11 papers) and Urological Disorders and Treatments (11 papers). Roman Sukhanov collaborates with scholars based in Russia, United States and France. Roman Sukhanov's co-authors include Evgeny A. Bezrukov, Peter Timashev, Denis Butnaru, Anastasia Shpichka, Yuanyuan Zhang, В. Ф. Бурдуковский, Anthony Atala, Dmitry Enikeev, Mark Taratkin and Petr Glybochko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

In The Last Decade

Roman Sukhanov

36 papers receiving 581 citations

Hit Papers

Skin tissue regeneration ... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Roman Sukhanov 192 187 182 96 95 39 595
Alicja Krejner 58 0.3× 57 0.3× 158 0.9× 94 1.0× 104 1.1× 17 647
Wen Xu 55 0.3× 77 0.4× 183 1.0× 172 1.8× 168 1.8× 39 696
Edgar Krötzsch 39 0.2× 52 0.3× 133 0.7× 121 1.3× 121 1.3× 42 665
Zhina Sadeghi 195 1.0× 69 0.4× 26 0.1× 242 2.5× 65 0.7× 39 634
Afshin Rahmanian‐Schwarz 56 0.3× 37 0.2× 250 1.4× 355 3.7× 85 0.9× 56 689
Gyeol Yoo 44 0.2× 40 0.2× 137 0.8× 168 1.8× 184 1.9× 33 586
Sylvie Changotade 72 0.4× 38 0.2× 50 0.3× 171 1.8× 107 1.1× 24 695
Monika Arenbergerová 43 0.2× 47 0.3× 112 0.6× 162 1.7× 45 0.5× 56 673
Craig D. Kamerath 68 0.4× 68 0.4× 164 0.9× 160 1.7× 75 0.8× 17 643
Ilaria Iacopetti 152 0.8× 29 0.2× 108 0.6× 309 3.2× 116 1.2× 43 674

Countries citing papers authored by Roman Sukhanov

Since Specialization
Citations

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

Fields of papers citing papers by Roman Sukhanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Sukhanov

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