Nadia Talat

24 total papers · 1.3k total citations
21 papers, 812 citations indexed

About

Nadia Talat is a scholar working on Oncology, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nadia Talat has authored 21 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Nephrology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nadia Talat's work include Parathyroid Disorders and Treatments (11 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Pituitary Gland Disorders and Treatments (6 papers). Nadia Talat is often cited by papers focused on Parathyroid Disorders and Treatments (11 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Pituitary Gland Disorders and Treatments (6 papers). Nadia Talat collaborates with scholars based in United Kingdom, Australia and United States. Nadia Talat's co-authors include Klaus‐Martin Schulte, Ajay Belgaumkar, Salvador J. Díaz‐Cano, Paul S. Sidhu, J P Miell, Nicola Mulholland, Caje Moniz, Clive S. Grant, W. T. Knoefel and Anthony J. Gill and has published in prestigious journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Annals of Surgery.

In The Last Decade

Nadia Talat

20 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
Nadia Talat 627 391 177 175 157 21 812
Flora Sotsiou 130 0.2× 219 0.6× 79 0.4× 25 0.1× 85 0.5× 26 762
Raphael Levey 204 0.3× 35 0.1× 99 0.6× 142 0.8× 84 0.5× 15 912
Jean Tayar 451 0.7× 77 0.2× 38 0.2× 21 0.1× 137 0.9× 30 842
Charles E. Alpers 82 0.1× 306 0.8× 75 0.4× 33 0.2× 40 0.3× 16 811
Celia J. F. Lin 280 0.4× 70 0.2× 32 0.2× 43 0.2× 383 2.4× 26 924
Shizuyo Tsujimura 234 0.4× 64 0.2× 41 0.2× 36 0.2× 89 0.6× 33 970
Anett Peters 159 0.3× 218 0.6× 49 0.3× 32 0.2× 51 0.3× 15 967
Natacha Patey‐Mariaud de Serre 65 0.1× 176 0.5× 84 0.5× 104 0.6× 106 0.7× 21 824
Martin J. Magers 172 0.3× 257 0.7× 150 0.8× 23 0.1× 78 0.5× 26 941
M. A. Gertz 263 0.4× 123 0.3× 44 0.2× 32 0.2× 88 0.6× 19 932

Countries citing papers authored by Nadia Talat

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Talat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Talat

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