Philip M. Barger
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 2%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Daniel P. KellyAttila KovácsJohn J. LehmanJeffrey E. SaffitzDenis M. MedeirosDouglas L. MannCarla J. WeinheimerTeresa C. Leone
- Topics
- Cardiac Fibrosis and Remodeling (11 papers)Peroxisome Proliferator-Activated Receptors (10 papers)Mitochondrial Function and Pathology (9 papers)
- Partner nations
- United StatesBrazilMexico
In The Last Decade
Philip M. Barger
46 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.3k
- Cardiology and Cardiovascular Medicine 1.4k
- Physiology 1.3k
- Epidemiology 408
- Surgery 385
Countries citing papers authored by Philip M. Barger
This map shows the geographic impact of Philip M. Barger'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 Philip M. Barger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Barger more than expected).
Fields of papers citing papers by Philip M. Barger
This network shows the impact of papers produced by Philip M. Barger. 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 Philip M. Barger. The network helps show where Philip M. Barger may publish in the future.
Co-authorship network of co-authors of Philip M. Barger
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Barger. A scholar is included among the top collaborators of Philip M. Barger 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 Philip M. Barger. Philip M. Barger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 71 | |
| 6 | 27 | |
| 7 | Abstract 12198: TRAF2 Coordinates With PARKIN to Mediate Mitochondrial Autophagy in Cardiomyocytes | 1 |
| 8 | Abstract 11268: Damage Associated Molecular Patterns (DAMPs) Activate Cardiac Fibroblasts Through Toll-Like Receptor 4: Implications for Myocardial Fibrosis | 1 |
| 9 | 190 | |
| 10 | 91 | |
| 11 | 34 | |
| 12 | 29 | |
| 13 | 32 | |
| 14 | 221 | |
| 15 | 382 | |
| 16 | Peroxisome proliferator–activated receptor γ coactivator-1 promotes cardiac mitochondrial biogenesisbreakdown → | 1058 |
| 17 | 401 | |
| 18 | 149 | |
| 19 | 64 | |
| 20 | 5 |
About Philip M. Barger
Philip M. Barger is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (11 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Mitochondrial Function and Pathology (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Physiology (1.3k citations) and Molecular Biology (2.3k citations). Philip M. Barger has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Daniel P. Kelly, Daniel P. Kelly, Attila Kovács, John J. Lehman, Jeffrey E. Saffitz, Denis M. Medeiros, Douglas L. Mann, Carla J. Weinheimer, Teresa C. Leone and Jon M. Brandt. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.