Catherine A. Reardon

10.3k citations
132 papers · 7.7k indexed · 3 hit papers · h-index 47

Catherine A. Reardon

130 papers receiving 7.6k citations

Hit Papers

Neutrophil elastase selectivel...2162012202620162021100200300400

Peers

Catherine A. Reardon
Comparison fields: 5 of 142
  • Immunology 2.0k
  • Physiology 1.9k
  • Endocrinology, Diabetes and Metabolism 903
  • Surgery 2.1k
  • Cancer Research 689
Replace János G. Filep with:
János G. Filep Canada
Ákos Heinemann Austria
Derek A. Mann United Kingdom
Lawrence Chan United States
Wim Martinet Belgium
Marten H. Hofker Netherlands
Alyssa H. Hasty United States
Karin Bornfeldt United States
Ann–Hwee Lee United States
Yury I. Miller United States
Catherine A. Reardon relative to János G. Filep Canada János G. Filep's profile →
Citations per field
00.5×1.5×2.1×
János G. Filep · 1×
Citations per year

Countries citing papers authored by Catherine A. Reardon

Since Specialization
Citations

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

Fields of papers citing papers by Catherine A. Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Catherine A. Reardon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Catherine A. Reardon Line = papers co-authored together Catherine A. Reardon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202183
2 201871
3 201736
4 201776
5 201615
6 201661
7 20141
8 20139
9 201128
10 201191
11 201028
12 200858
13 200855
14 200852
15 20071
16
Novel proteasome inhibitors show potent anti-tumor efficacy
20041
17 200318
18 200161
19 19954
20 19949

About Catherine A. Reardon

Catherine A. Reardon is a scholar working on Immunology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 132 papers that have together received 7.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (36 papers), Cholesterol and Lipid Metabolism (35 papers), Peroxisome Proliferator-Activated Receptors (28 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers), Lipoproteins and Cardiovascular Health (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Alzheimer's disease research and treatments (14 papers) and Cancer, Lipids, and Metabolism (12 papers). The work is most often cited by research in Immunology (2.0k citations), Physiology (1.9k citations) and Endocrinology, Diabetes and Metabolism (903 citations). Catherine A. Reardon has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Godfrey S. Getz, Paul A. VanderLaan, Mary Jo LaDu, John R. Lukens, Veneracion G. Cabana, John M. Taylor, T Mazzone, Timothy J. Sontag, Geoffrey D. Wool and Linda J. Van Eldik. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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