Torgyn Shaikhina

855 total citations · 1 hit paper
7 papers, 619 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 619 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), Medical Imaging and Analysis (2 papers) and Artificial Intelligence in Healthcare (2 papers). Torgyn Shaikhina is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Medical Imaging and Analysis (2 papers) and Artificial Intelligence in Healthcare (2 papers). Torgyn Shaikhina collaborates with scholars based in United Kingdom. Torgyn Shaikhina's co-authors include N. A. Khovanova, Natasha Khovanova, David Briggs, Robert Higgins, Sunil Daga, Kajal K. Mallick, David Lowe, Daniel A. Mitchell, Daniel Zehnder and Nithya Krishnan 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 606 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation

2017 257 citations Torgyn Shaikhina, Sunil Daga et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Torgyn Shaikhina United Kingdom	6	160	73	62	61	59	7	619
Natasha Khovanova United Kingdom	7	84 0.5×	42 0.6×	44 0.7×	50 0.8×	71 1.2×	16	463
Sunil Daga United Kingdom	11	81 0.5×	49 0.7×	40 0.6×	39 0.6×	274 4.6×	34	708
N. A. Khovanova United Kingdom	8	83 0.5×	33 0.5×	20 0.3×	55 0.9×	8 0.1×	18	364
Rohit Anand India	12	72 0.5×	19 0.3×	32 0.5×	14 0.2×	66 1.1×	54	583
Lucy Hutchinson Switzerland	8	122 0.8×	51 0.7×	16 0.3×	68 1.1×	5 0.1×	10	609
Tony Kam‐Thong Switzerland	6	111 0.7×	47 0.6×	15 0.2×	62 1.0×	6 0.1×	10	688
Juliane Siebourg‐Polster Switzerland	7	116 0.7×	53 0.7×	15 0.2×	74 1.2×	5 0.1×	16	789
Ljubomir Buturović United States	14	173 1.1×	94 1.3×	25 0.4×	65 1.1×	4 0.1×	33	1.3k
Su-Wen Huang Taiwan	5	161 1.0×	33 0.5×	54 0.9×	42 0.7×	3 0.1×	9	623
Radwa Elshawi Saudi Arabia	12	326 2.0×	49 0.7×	126 2.0×	20 0.3×	2 0.0×	26	765

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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7 of 7 papers shown

1.

Shaikhina, Torgyn & N. A. Khovanova. (2017). Handling limited datasets with neural networks in medical applications: A small-data approach. Artificial Intelligence in Medicine. 75. 51–63. 202 indexed citations

2.

Shaikhina, Torgyn, et al.. (2017). Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation. Biomedical Signal Processing and Control. 52. 456–462. 257 indexed citations breakdown →

3.

Khovanova, N. A., David Lowe, Sunil Daga, et al.. (2015). Assessment of IgG subclass significance for early graft rejection and long-term survival in HLA-antibody incompatible renal transplantation : multivariate approach. 1 indexed citations

4.

Shaikhina, Torgyn, et al.. (2015). Machine Learning for Predictive Modelling based on Small Data in Biomedical Engineering. IFAC-PapersOnLine. 48(20). 469–474. 83 indexed citations

5.

Khovanova, Natasha, Sunil Daga, Torgyn Shaikhina, et al.. (2015). Subclass analysis of donorHLA‐specific IgG in antibody‐incompatible renal transplantation reveals a significant association of IgG₄with rejection and graft failure. Transplant International. 28(12). 1405–1415. 46 indexed citations

6.

Shaikhina, Torgyn, Natasha Khovanova, & Kajal K. Mallick. (2014). Artificial neural networks in hard tissue engineering: Another look at age-dependence of trabecular bone properties in osteoarthritis. 622–625. 10 indexed citations

7.

Khovanova, N. A., Torgyn Shaikhina, & Kajal K. Mallick. (2014). Neural networks for analysis of trabecular bone in osteoarthritis. Bioinspired Biomimetic and Nanobiomaterials. 4(1). 90–100. 20 indexed citations

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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