Daniel P. Kelly

216 papers and 29.9k indexed citations i.

About

Daniel P. Kelly is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel P. Kelly has authored 216 papers receiving a total of 29.9k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Molecular Biology, 106 papers in Physiology and 60 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel P. Kelly’s work include Adipose Tissue and Metabolism (92 papers), Peroxisome Proliferator-Activated Receptors (73 papers) and Cardiovascular Function and Risk Factors (48 papers). Daniel P. Kelly is often cited by papers focused on Adipose Tissue and Metabolism (92 papers), Peroxisome Proliferator-Activated Receptors (73 papers) and Cardiovascular Function and Risk Factors (48 papers). Daniel P. Kelly collaborates with scholars based in United States, Canada and Brazil. Daniel P. Kelly's co-authors include Janice M. Huss, Teresa C. Leone, Rick B. Vega, Richard C. Scarpulla, John J. Lehman, Brian N. Finck, Carla J. Weinheimer, Philip M. Barger, Denis M. Medeiros and Jeffrey E. Saffitz and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Daniel P. Kelly i

Fields of papers citing papers by Daniel P. Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Kelly. 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 Daniel P. Kelly. The network helps show where Daniel P. Kelly may publish in the future.

Countries citing papers authored by Daniel P. Kelly

Since Specialization
Citations

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

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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