Kimberly Reidy

71 total papers · 2.6k total citations
28 papers, 1.4k citations indexed

About

Kimberly Reidy is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Kimberly Reidy has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nephrology, 13 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Kimberly Reidy's work include Renal Diseases and Glomerulopathies (14 papers), Chronic Kidney Disease and Diabetes (8 papers) and Renal and related cancers (5 papers). Kimberly Reidy is often cited by papers focused on Renal Diseases and Glomerulopathies (14 papers), Chronic Kidney Disease and Diabetes (8 papers) and Renal and related cancers (5 papers). Kimberly Reidy collaborates with scholars based in United States, China and South Korea. Kimberly Reidy's co-authors include Katalin Suszták, Hyun Mi Kang, Thomas H. Hostetter, Alda Tufró, Juan Jiménez, Claudia A. Bertuccio, Frederick J. Kaskel, G. Villegas, Delma Verón and Oleh M. Akchurin and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Kidney International.

In The Last Decade

Kimberly Reidy

27 papers receiving 1.4k citations

Hit Papers

Molecular mechanisms of d... 2014 2026 2018 2022 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kimberly Reidy 754 573 186 172 131 28 1.4k
Lijun Sun 793 1.1× 559 1.0× 248 1.3× 193 1.1× 139 1.1× 24 1.7k
Ulf Janssen 581 0.8× 382 0.7× 206 1.1× 187 1.1× 102 0.8× 24 1.4k
Marcus Brand 593 0.8× 440 0.8× 215 1.2× 127 0.7× 143 1.1× 38 1.5k
Alejandra Droguett 599 0.8× 582 1.0× 177 1.0× 178 1.0× 143 1.1× 26 1.5k
Christine K. Abrass 536 0.7× 431 0.8× 231 1.2× 246 1.4× 126 1.0× 44 1.6k
Martine Burtin 612 0.8× 716 1.2× 194 1.0× 117 0.7× 192 1.5× 47 1.7k
Giovana Seno Di Marco 752 1.0× 464 0.8× 186 1.0× 110 0.6× 146 1.1× 38 1.5k
Ilse S. Daehn 677 0.9× 609 1.1× 127 0.7× 85 0.5× 126 1.0× 34 1.4k
Jianling Tao 680 0.9× 696 1.2× 225 1.2× 125 0.7× 169 1.3× 31 1.6k
Robert Faulhaber‐Walter 499 0.7× 621 1.1× 216 1.2× 133 0.8× 127 1.0× 32 1.6k

Countries citing papers authored by Kimberly Reidy

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Reidy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Reidy

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Reidy. A scholar is included among the top collaborators of Kimberly Reidy 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 Kimberly Reidy. Kimberly Reidy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026