Tına Mistry

24 total papers · 659 total citations
9 papers, 392 citations indexed

About

Tına Mistry is a scholar working on Epidemiology, Surgery and Physiology. According to data from OpenAlex, Tına Mistry has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Physiology. Recurrent topics in Tına Mistry's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Tına Mistry is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Tına Mistry collaborates with scholars based in United Kingdom and United States. Tına Mistry's co-authors include Ken Desai, Janet E. Digby, Harpal Randeva, Raghu Adya, James Brown, HS Randeva, J. Chen, Andrew Stockdale, Hua Long and Ashik Amlani and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Urology and Cell Reports.

In The Last Decade

Tına Mistry

9 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Tına Mistry 189 116 107 82 80 9 392
Dong‐Chen Shieh 134 0.7× 54 0.5× 68 0.6× 48 0.6× 107 1.3× 13 421
Francesca La Russa 110 0.6× 62 0.5× 172 1.6× 51 0.6× 67 0.8× 10 340
So Mi Seol 190 1.0× 68 0.6× 33 0.3× 105 1.3× 111 1.4× 11 405
J. Wolf 103 0.5× 76 0.7× 106 1.0× 38 0.5× 103 1.3× 7 362
Hyun-Chae Lee 204 1.1× 39 0.3× 34 0.3× 126 1.5× 100 1.3× 12 432
Patricia Restituto 67 0.4× 41 0.4× 84 0.8× 60 0.7× 97 1.2× 13 387
George Sotiropoulos 200 1.1× 85 0.7× 124 1.2× 81 1.0× 84 1.1× 7 340
Shelley Pallan 82 0.4× 38 0.3× 61 0.6× 76 0.9× 68 0.8× 9 357
Diego Demeulemeester 233 1.2× 122 1.1× 49 0.5× 157 1.9× 153 1.9× 7 407
Myoung Ju Koh 88 0.5× 32 0.3× 57 0.5× 36 0.4× 76 0.9× 14 408

Countries citing papers authored by Tına Mistry

Since Specialization
Citations

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

Fields of papers citing papers by Tına Mistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tına Mistry

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