Regina P. Brun
- Molecular Biology top 2%
- Physiology top 1%
- Epidemiology top 5%
- Cancer Research top 2%
- Pharmacology top 1%
- Co-authors
- Bruce M. SpiegelmanBarry M. FormanRonald M. EvansPeter TontonozJasmine ChenAmy E. TroyCatherine McKeonGuillaume Adelmant
- Topics
- Peroxisome Proliferator-Activated Receptors (8 papers)Adipose Tissue and Metabolism (7 papers)Nuclear Receptors and Signaling (2 papers)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Regina P. Brun
13 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.7k
- Physiology 1.7k
- Epidemiology 950
- Cancer Research 847
- Pharmacology 810
Countries citing papers authored by Regina P. Brun
This map shows the geographic impact of Regina P. Brun'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 Regina P. Brun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina P. Brun more than expected).
Fields of papers citing papers by Regina P. Brun
This network shows the impact of papers produced by Regina P. Brun. 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 Regina P. Brun. The network helps show where Regina P. Brun may publish in the future.
Co-authorship network of co-authors of Regina P. Brun
This figure shows the co-authorship network connecting the top 25 collaborators of Regina P. Brun. A scholar is included among the top collaborators of Regina P. Brun 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 Regina P. Brun. Regina P. Brun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | In vitro-in vivo studies on anti-trypanosomal potentials of Zapoteca portoricensis | 2 |
| 2 | 7 | |
| 3 | Cross-Regulation of C/EBPα and PPARγ Controls the Transcriptional Pathway of Adipogenesis and Insulin Sensitivitybreakdown → | 864 |
| 4 | 78 | |
| 5 | 113 | |
| 6 | Terminal differentiation of human liposarcoma cells induced by ligands for peroxisome proliferator-activated receptor γ and the retinoid X receptorbreakdown → | 577 |
| 7 | 1 | |
| 8 | 150 | |
| 9 | 403 | |
| 10 | 15-Deoxy-Δ12,14-Prostaglandin J2 is a ligand for the adipocyte determination factor PPARγbreakdown → | 2524 |
| 11 | 24 | |
| 12 | 38 | |
| 13 | An in vitro bioassay for quantification of melarsoprol in serum and cerebrospinal fluid. | 14 |
| 14 | 1 | |
| 15 | 0 |
About Regina P. Brun
Regina P. Brun is a scholar working on Physiology, Sensory Systems and Molecular Biology, having authored 15 papers that have together received 4.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (7 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Biochemistry (551 citations), Physiology (1.7k citations) and Cancer Research (847 citations). Regina P. Brun has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Bruce M. Spiegelman, Barry M. Forman, Ronald M. Evans, Peter Tontonoz, Jasmine Chen, Amy E. Troy, Catherine McKeon, Guillaume Adelmant, Evan D. Rosen and Stefanie Hauser. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.
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.