Jessica Rodriguez
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Monte S. WillisSuzanne GrahamSoda DiopSean OldhamKaren OcorrRolf BodmerCam PattersonRyan T. Birse
- Topics
- Muscle Physiology and Disorders (9 papers)Cardiomyopathy and Myosin Studies (6 papers)Receptor Mechanisms and Signaling (6 papers)
- Partner nations
- United StatesMexicoChina
In The Last Decade
Jessica Rodriguez
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 536
- Physiology 305
- Epidemiology 288
- Cardiology and Cardiovascular Medicine 213
- Cellular and Molecular Neuroscience 166
Countries citing papers authored by Jessica Rodriguez
This map shows the geographic impact of Jessica Rodriguez'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 Jessica Rodriguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Rodriguez more than expected).
Fields of papers citing papers by Jessica Rodriguez
This network shows the impact of papers produced by Jessica Rodriguez. 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 Jessica Rodriguez. The network helps show where Jessica Rodriguez may publish in the future.
Co-authorship network of co-authors of Jessica Rodriguez
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Rodriguez. A scholar is included among the top collaborators of Jessica Rodriguez 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 Jessica Rodriguez. Jessica Rodriguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 39 | |
| 6 | 35 | |
| 7 | 2 | |
| 8 | 70 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 42 | |
| 13 | 17 | |
| 14 | 185 | |
| 15 | 1 | |
| 16 | Muscle Ring Finger-1 (MuRF1), MuRF2, and MuRF3 Differentially Regulate the transcription factors PPAR{alpha}, PPAR{gamma}, and PPAR{beta}/{delta}, respectively, in vivo | 1 |
| 17 | 55 | |
| 18 | 86 | |
| 19 | 20 | |
| 20 | 82 |
About Jessica Rodriguez
Jessica Rodriguez is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Cardiomyopathy and Myosin Studies (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Aging (109 citations), Physiology (305 citations) and Endocrinology, Diabetes and Metabolism (165 citations). Jessica Rodriguez has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Monte S. Willis, Suzanne Graham, Soda Diop, Sean Oldham, Karen Ocorr, Rolf Bodmer, Cam Patterson, Ryan T. Birse, Luge Li and Jonathan C. Schisler. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Research and Diabetes Care.
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.