Jason M. D’Antonio

12 total papers · 456 total citations
10 papers, 351 citations indexed

About

Jason M. D’Antonio is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jason M. D’Antonio has authored 10 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jason M. D’Antonio's work include Prostate Cancer Treatment and Research (6 papers), Ubiquitin and proteasome pathways (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jason M. D’Antonio is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Ubiquitin and proteasome pathways (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jason M. D’Antonio collaborates with scholars based in United States and United Kingdom. Jason M. D’Antonio's co-authors include John T. Isaacs, Beth R. Pflug, Lizamma Antony, Donald J. Vander Griend, Changqing Ma, Federico A. Monzon, Joel B. Nelson, Samuel R. Denmeade, Shuangling Chen and Jun Luo and has published in prestigious journals such as PLoS ONE, Cancer Letters and Urology.

In The Last Decade

Jason M. D’Antonio

9 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Jason M. D’Antonio 223 174 87 75 67 10 351
D.E.M. Lawson 218 1.0× 74 0.4× 111 1.3× 64 0.9× 38 0.6× 10 382
April M. Lew 119 0.5× 175 1.0× 95 1.1× 40 0.5× 40 0.6× 8 363
Marc Dufour 92 0.4× 235 1.4× 54 0.6× 66 0.9× 58 0.9× 10 375
Valentina Rossi 132 0.6× 146 0.8× 58 0.7× 118 1.6× 93 1.4× 15 364
Hortensia Faus 93 0.4× 246 1.4× 57 0.7× 56 0.7× 113 1.7× 8 400
Sophie Bartsch 113 0.5× 175 1.0× 37 0.4× 60 0.8× 53 0.8× 14 331
Emma J.D. Padilla 162 0.7× 126 0.7× 67 0.8× 31 0.4× 48 0.7× 11 335
Latif A. Wafa 185 0.8× 215 1.2× 46 0.5× 46 0.6× 57 0.9× 10 364
Josephat Omwancha 136 0.6× 209 1.2× 37 0.4× 71 0.9× 52 0.8× 8 332
TaeJeong Oh 64 0.3× 207 1.2× 93 1.1× 120 1.6× 97 1.4× 14 382

Countries citing papers authored by Jason M. D’Antonio

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. D’Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. D’Antonio. 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 Jason M. D’Antonio. The network helps show where Jason M. D’Antonio may publish in the future.

Co-authorship network of co-authors of Jason M. D’Antonio

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. D’Antonio. A scholar is included among the top collaborators of Jason M. D’Antonio 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 Jason M. D’Antonio. Jason M. D’Antonio 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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