Torgyn Shaikhina

14 total papers · 848 total citations
7 papers, 612 citations indexed

About

Torgyn Shaikhina is a scholar working on Transplantation, Surgery and Nephrology. According to data from OpenAlex, Torgyn Shaikhina has authored 7 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Transplantation, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Torgyn Shaikhina's work include Renal Transplantation Outcomes and Treatments (3 papers), Artificial Intelligence in Healthcare (2 papers) and Medical Imaging and Analysis (2 papers). Torgyn Shaikhina is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Artificial Intelligence in Healthcare (2 papers) and Medical Imaging and Analysis (2 papers). Torgyn Shaikhina collaborates with scholars based in United Kingdom. Torgyn Shaikhina's co-authors include N. A. Khovanova, Natasha Khovanova, David Briggs, Sunil Daga, Robert Higgins, Kajal K. Mallick, David Lowe, Daniel A. Mitchell, Daniel Zehnder and James H. Jones and has published in prestigious journals such as Biomedical Signal Processing and Control, Artificial Intelligence in Medicine and Transplant International.

In The Last Decade

Torgyn Shaikhina

7 papers receiving 598 citations

Hit Papers

Decision tree and random ... 2017 2026 2020 2023 2017 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
Torgyn Shaikhina 159 73 62 60 59 7 612
Sunil Daga 81 0.5× 49 0.7× 40 0.6× 38 0.6× 272 4.6× 34 697
Lucy Hutchinson 118 0.7× 50 0.7× 16 0.3× 66 1.1× 5 0.1× 10 592
Solveig Badillo 109 0.7× 69 0.9× 15 0.2× 61 1.0× 5 0.1× 11 574
Tony Kam‐Thong 107 0.7× 46 0.6× 15 0.2× 61 1.0× 6 0.1× 10 668
Ashin Mukherjee 94 0.6× 75 1.0× 35 0.6× 14 0.2× 6 0.1× 6 575
Su-Wen Huang 157 1.0× 32 0.4× 53 0.9× 40 0.7× 3 0.1× 9 605
Tao Sun 154 1.0× 66 0.9× 174 2.8× 33 0.6× 3 0.1× 16 562
Sebastian Pölsterl 171 1.1× 139 1.9× 22 0.4× 39 0.7× 3 0.1× 16 553
Tayaza Fadason 110 0.7× 36 0.5× 49 0.8× 28 0.5× 2 0.0× 23 679
Raphaël Couronné 126 0.8× 51 0.7× 36 0.6× 52 0.9× 8 645

Countries citing papers authored by Torgyn Shaikhina

Since Specialization
Citations

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

Fields of papers citing papers by Torgyn Shaikhina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torgyn Shaikhina

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