Kathryn Roupe

18 total papers · 1.0k total citations
17 papers, 831 citations indexed

About

Kathryn Roupe is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Kathryn Roupe has authored 17 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Geriatrics and Gerontology and 4 papers in Oncology. Recurrent topics in Kathryn Roupe's work include Sirtuins and Resveratrol in Medicine (5 papers), Bioactive natural compounds (3 papers) and Cancer Treatment and Pharmacology (2 papers). Kathryn Roupe is often cited by papers focused on Sirtuins and Resveratrol in Medicine (5 papers), Bioactive natural compounds (3 papers) and Cancer Treatment and Pharmacology (2 papers). Kathryn Roupe collaborates with scholars based in United States, Canada and France. Kathryn Roupe's co-authors include Neal M. Davies, Jaime A. Yáñez, Connie M. Remsberg, Xiao Wei Teng, Marc W. Fariss, Steven C. Halls, Jocelyn Yabut, Raymond Evers, Christopher R. Gibson and Xiaoyan Chu and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Journal of Pharmacy and Pharmacology and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

Kathryn Roupe

17 papers receiving 797 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn Roupe 293 195 116 113 110 17 831
Alexandra Maier‐Salamon 238 0.8× 222 1.1× 86 0.7× 219 1.9× 92 0.8× 31 796
Hiba Hasan 327 1.1× 175 0.9× 80 0.7× 47 0.4× 88 0.8× 14 902
Chongwoo Yu 246 0.8× 317 1.6× 35 0.3× 74 0.7× 83 0.8× 18 785
Jean‐Pierre Moreau 271 0.9× 251 1.3× 56 0.5× 85 0.8× 72 0.7× 41 972
Sumit Singh Verma 540 1.8× 137 0.7× 68 0.6× 114 1.0× 48 0.4× 24 1.0k
Phillip J. Daschner 425 1.5× 89 0.5× 62 0.5× 125 1.1× 173 1.6× 11 874
Chiara De Santi 349 1.2× 199 1.0× 41 0.4× 80 0.7× 104 0.9× 38 867
Xiao Wei Teng 286 1.0× 68 0.3× 104 0.9× 120 1.1× 155 1.4× 24 888
Christian Leischner 446 1.5× 92 0.5× 40 0.3× 84 0.7× 80 0.7× 26 776
Karina R. Vega‐Villa 317 1.1× 137 0.7× 91 0.8× 49 0.4× 56 0.5× 16 811

Countries citing papers authored by Kathryn Roupe

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Roupe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Roupe

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