Amy Pavone

35 total papers · 857 total citations
30 papers, 726 citations indexed

About

Amy Pavone is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Amy Pavone has authored 30 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Pharmacology and 8 papers in Oncology. Recurrent topics in Amy Pavone's work include Inflammatory mediators and NSAID effects (8 papers), Estrogen and related hormone effects (7 papers) and Immune Response and Inflammation (4 papers). Amy Pavone is often cited by papers focused on Inflammatory mediators and NSAID effects (8 papers), Estrogen and related hormone effects (7 papers) and Immune Response and Inflammation (4 papers). Amy Pavone collaborates with scholars based in United States and Belgium. Amy Pavone's co-authors include Susan M. Fischer, Joyce E. Rundhaug, Carol Mikulec, John J. Reiners, Robert Langenbach, Thomas R. Berton, Jennifer K. Colby, Mark J. McArthur, Russell D. Klein and Eunjung Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Analytical Biochemistry.

In The Last Decade

Amy Pavone

30 papers receiving 715 citations

Author Peers

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

Author Last Decade Papers Cites
Amy Pavone 313 153 141 137 135 30 726
Mudit Vaid 479 1.5× 49 0.3× 77 0.5× 157 1.1× 72 0.5× 27 899
Sasidharan Padmaja Divya 385 1.2× 59 0.4× 111 0.8× 72 0.5× 128 0.9× 32 830
Ying‐Jan Wang 424 1.4× 79 0.5× 115 0.8× 50 0.4× 146 1.1× 22 830
Xia Han 369 1.2× 53 0.3× 64 0.5× 65 0.5× 173 1.3× 28 734
Barbara Oesch‐Bartlomowicz 302 1.0× 40 0.3× 129 0.9× 57 0.4× 181 1.3× 31 889
An Van Laethem 388 1.2× 44 0.3× 89 0.6× 354 2.6× 80 0.6× 27 817
Okkyung Rho 537 1.7× 50 0.3× 179 1.3× 85 0.6× 132 1.0× 29 746
Nan‐Lin Wu 291 0.9× 95 0.6× 69 0.5× 272 2.0× 61 0.5× 41 883
Ji-Hong Lim 486 1.6× 85 0.6× 120 0.9× 30 0.2× 210 1.6× 36 892
Qinggao Zhang 394 1.3× 49 0.3× 128 0.9× 40 0.3× 73 0.5× 51 902

Countries citing papers authored by Amy Pavone

Since Specialization
Citations

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

Fields of papers citing papers by Amy Pavone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Pavone

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