Cheryl A. Pickett

27 total papers · 579 total citations
20 papers, 361 citations indexed

About

Cheryl A. Pickett is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Cheryl A. Pickett has authored 20 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Cheryl A. Pickett's work include HER2/EGFR in Cancer Research (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Cancer Treatment and Pharmacology (3 papers). Cheryl A. Pickett is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Cancer Treatment and Pharmacology (3 papers). Cheryl A. Pickett collaborates with scholars based in United States, France and Spain. Cheryl A. Pickett's co-authors include Arthur Gutierrez‐Hartmann, A Gutierrez-Hartmann, Nicole Manning, Yoshiko Akita, Kenneth A. Krohn, Jeanne M. Link, David R. Byrd, Paul E. Kinahan, David A. Mankoff and Gary N. Mann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Clinical Cancer Research.

In The Last Decade

Cheryl A. Pickett

18 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Cheryl A. Pickett 163 147 106 77 74 20 361
Andrea Treszl 183 1.1× 165 1.1× 69 0.7× 41 0.5× 81 1.1× 16 357
L. Sylvia 87 0.5× 170 1.2× 78 0.7× 47 0.6× 64 0.9× 17 343
Jean Chiésa 89 0.5× 180 1.2× 60 0.6× 100 1.3× 55 0.7× 21 374
Mitsuo Itakura 176 1.1× 155 1.1× 89 0.8× 43 0.6× 45 0.6× 15 378
Cornelia Schuster 99 0.6× 106 0.7× 27 0.3× 64 0.8× 54 0.7× 22 314
Jenny Varley 194 1.2× 224 1.5× 23 0.2× 71 0.9× 74 1.0× 14 378
Éva Juhász 74 0.5× 100 0.7× 24 0.2× 61 0.8× 51 0.7× 20 321
Christian Colin 40 0.2× 179 1.2× 63 0.6× 58 0.8× 86 1.2× 16 333
Arun Shastry 69 0.4× 196 1.3× 29 0.3× 44 0.6× 59 0.8× 17 327
Akihiko Serizawa 105 0.6× 145 1.0× 20 0.2× 41 0.5× 50 0.7× 24 321

Countries citing papers authored by Cheryl A. Pickett

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl A. Pickett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheryl A. Pickett. 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 Cheryl A. Pickett. The network helps show where Cheryl A. Pickett may publish in the future.

Co-authorship network of co-authors of Cheryl A. Pickett

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