Gary A. Pestano

127 total papers · 1.5k total citations
41 papers, 1.0k citations indexed

About

Gary A. Pestano is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gary A. Pestano has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gary A. Pestano's work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Gary A. Pestano is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Gary A. Pestano collaborates with scholars based in United States, Germany and China. Gary A. Pestano's co-authors include Harvey Cantor, Georg F. Weber, Ubaradka G. Sathyanarayana, Mark A. Rubin, Dea Nagy, Raymond B. Nagle, Theresa Y. MacDonald, Alistair Noble, Ashutosh Tewari and Francesca Demichelis and has published in prestigious journals such as Science, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gary A. Pestano

39 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
Gary A. Pestano 501 482 294 228 153 41 1.0k
Sajida Piperdi 408 0.8× 461 1.0× 219 0.7× 518 2.3× 251 1.6× 25 1.1k
David Clouston 451 0.9× 555 1.2× 202 0.7× 279 1.2× 144 0.9× 49 1.2k
Lorena Lôbo de Figueiredo-Pontes 661 1.3× 205 0.4× 300 1.0× 258 1.1× 117 0.8× 49 1.1k
Christopher R. Cabanski 632 1.3× 336 0.7× 484 1.6× 274 1.2× 144 0.9× 30 1.1k
Denise Young 369 0.7× 480 1.0× 250 0.9× 195 0.9× 37 0.2× 37 828
Stephanie M. McGregor 479 1.0× 371 0.8× 240 0.8× 340 1.5× 147 1.0× 52 1.2k
Alice M. Walsh 299 0.6× 258 0.5× 180 0.6× 342 1.5× 198 1.3× 24 873
Hidetoshi Ehara 442 0.9× 327 0.7× 248 0.8× 152 0.7× 59 0.4× 50 855
Jianjun Yu 454 0.9× 275 0.6× 196 0.7× 216 0.9× 113 0.7× 52 939
Mirva Söderström 454 0.9× 174 0.4× 258 0.9× 223 1.0× 60 0.4× 36 902

Countries citing papers authored by Gary A. Pestano

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Pestano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary A. Pestano

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