Jarrett T. Whelan

14 total papers · 874 total citations
11 papers, 678 citations indexed

About

Jarrett T. Whelan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jarrett T. Whelan has authored 11 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Jarrett T. Whelan's work include PI3K/AKT/mTOR signaling in cancer (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Fatty Acid Research and Health (2 papers). Jarrett T. Whelan is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Fatty Acid Research and Health (2 papers). Jarrett T. Whelan collaborates with scholars based in United States, Germany and Italy. Jarrett T. Whelan's co-authors include Fred E. Bertrand, Jörg Bäsecke, F. E. Bertrand, Saame Raza Shaikh, Massimo Libra, Linda S. Steelman, Franca Stivala, Stephen L. Abrams, Michèle Milella and Antonio Bonati and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Jarrett T. Whelan

11 papers receiving 669 citations

Author Peers

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

Author Last Decade Papers Cites
Jarrett T. Whelan 481 151 136 94 71 11 678
Heather Glaser 512 1.1× 167 1.1× 67 0.5× 63 0.7× 79 1.1× 9 636
Jiali Si 553 1.1× 196 1.3× 73 0.5× 67 0.7× 38 0.5× 8 747
Markus Haak 406 0.8× 105 0.7× 68 0.5× 75 0.8× 99 1.4× 23 733
P. Thavasu 278 0.6× 151 1.0× 58 0.4× 155 1.6× 70 1.0× 10 643
Madhavi Bathina 594 1.2× 84 0.6× 101 0.7× 181 1.9× 29 0.4× 10 766
Kimie Kondo 483 1.0× 149 1.0× 127 0.9× 258 2.7× 58 0.8× 22 791
Maria Nyåkern 426 0.9× 173 1.1× 62 0.5× 83 0.9× 54 0.8× 11 584
Songfang Wu 380 0.8× 121 0.8× 142 1.0× 63 0.7× 25 0.4× 15 619
Ina Nepstad 409 0.9× 318 2.1× 108 0.8× 118 1.3× 96 1.4× 19 767
S.H. Rosenberg 356 0.7× 140 0.9× 60 0.4× 181 1.9× 74 1.0× 12 587

Countries citing papers authored by Jarrett T. Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Jarrett T. Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarrett T. Whelan

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