T. Daniels

15 total papers · 1.3k total citations
14 papers, 1.0k citations indexed

About

T. Daniels is a scholar working on Genetics, Surgery and Reproductive Medicine. According to data from OpenAlex, T. Daniels has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Surgery and 4 papers in Reproductive Medicine. Recurrent topics in T. Daniels's work include Diabetes and associated disorders (7 papers), Ovarian function and disorders (4 papers) and Pancreatic function and diabetes (4 papers). T. Daniels is often cited by papers focused on Diabetes and associated disorders (7 papers), Ovarian function and disorders (4 papers) and Pancreatic function and diabetes (4 papers). T. Daniels collaborates with scholars based in United States, Sweden and Denmark. T. Daniels's co-authors include Sarah L. Berga, Åke Lernmark, William Hagopian, Donna E. Giles, Mona Landin‐Olsson, Bert Toivola, C. E. Grubin, Esper Boel, B Michelsen and Allan E. Karlsen and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

T. Daniels

14 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
T. Daniels 506 448 395 378 224 14 1.0k
Risto Erkkola 341 0.7× 363 0.8× 240 0.6× 174 0.5× 222 1.0× 41 1.1k
Jane A Suckling 303 0.6× 398 0.9× 151 0.4× 223 0.6× 204 0.9× 7 1.1k
Mark Stene 214 0.4× 598 1.3× 78 0.2× 348 0.9× 103 0.5× 23 1.2k
Lee A. Rigg 161 0.3× 355 0.8× 118 0.3× 220 0.6× 170 0.8× 19 907
François Girard 154 0.3× 699 1.6× 243 0.6× 145 0.4× 67 0.3× 22 1.2k
Magdalena Avbelj Stefanija 533 1.1× 733 1.6× 459 1.2× 209 0.6× 61 0.3× 44 1.1k
Joséphine Z. Kasa-Vubu 200 0.4× 308 0.7× 113 0.3× 208 0.6× 162 0.7× 34 1.1k
M C Lebrethon 129 0.3× 522 1.2× 185 0.5× 224 0.6× 55 0.2× 22 983
M. Jenner 559 1.1× 646 1.4× 441 1.1× 271 0.7× 79 0.4× 16 1.2k
Ina N. Cholst 276 0.5× 264 0.6× 47 0.1× 403 1.1× 298 1.3× 37 1.1k

Countries citing papers authored by T. Daniels

Since Specialization
Citations

This map shows the geographic impact of T. Daniels'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 T. Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Daniels more than expected).

Fields of papers citing papers by T. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Daniels

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