Richard C. Scarpulla
- Molecular Biology top 0.2%
- Physiology top 0.1%
- Epidemiology top 1%
- Cancer Research top 0.5%
- Cell Biology top 0.5%
- Co-authors
- Daniel P. KellyJoseph V. VirbasiusJan AnderssonMark J. EvansKristel VercauterenAmy E. TroySaverio CintiBruce M. Spiegelman
- Topics
- Mitochondrial Function and Pathology (36 papers)RNA and protein synthesis mechanisms (20 papers)Adipose Tissue and Metabolism (17 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Richard C. Scarpulla
70 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 11.5k
- Physiology 6.7k
- Epidemiology 1.8k
- Cancer Research 1.7k
- Cell Biology 1.3k
Countries citing papers authored by Richard C. Scarpulla
This map shows the geographic impact of Richard C. Scarpulla'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 Richard C. Scarpulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard C. Scarpulla more than expected).
Fields of papers citing papers by Richard C. Scarpulla
This network shows the impact of papers produced by Richard C. Scarpulla. 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 Richard C. Scarpulla. The network helps show where Richard C. Scarpulla may publish in the future.
Co-authorship network of co-authors of Richard C. Scarpulla
This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. Scarpulla. A scholar is included among the top collaborators of Richard C. Scarpulla 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 Richard C. Scarpulla. Richard C. Scarpulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 20 | |
| 3 | 128 | |
| 4 | Metabolic control of mitochondrial biogenesis through the PGC-1 family regulatory networkbreakdown → | 1009 |
| 5 | 307 | |
| 6 | 63 | |
| 7 | Transcriptional Paradigms in Mammalian Mitochondrial Biogenesis and Functionbreakdown → | 1294 |
| 8 | Oxygen sensing requires mitochondrial ROS but not oxidative phosphorylationbreakdown → | 613 |
| 9 | 264 | |
| 10 | Transcriptional regulatory circuits controlling mitochondrial biogenesis and functionbreakdown → | 1040 |
| 11 | 293 | |
| 12 | Nuclear activators and coactivators in mammalian mitochondrial biogenesisbreakdown → | 509 |
| 13 | 155 | |
| 14 | 111 | |
| 15 | 15 | |
| 16 | Mechanisms Controlling Mitochondrial Biogenesis and Respiration through the Thermogenic Coactivator PGC-1breakdown → | 3396 |
| 17 | 217 | |
| 18 | 53 | |
| 19 | 58 | |
| 20 | 31 |
About Richard C. Scarpulla
Richard C. Scarpulla is a scholar working on Molecular Biology, Physiology and Cancer Research, having authored 70 papers that have together received 15.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (36 papers), RNA and protein synthesis mechanisms (20 papers) and Adipose Tissue and Metabolism (17 papers). The work is most often cited by research in Physiology (6.7k citations), Geriatrics and Gerontology (770 citations) and Molecular Biology (11.5k citations). Richard C. Scarpulla has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Daniel P. Kelly, Joseph V. Virbasius, Jan Andersson, Mark J. Evans, Kristel Vercauteren, Amy E. Troy, Saverio Cinti, Bruce M. Spiegelman, Vamsi K. Mootha and Chen‐Yu Zhang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.