J. Rafael

485 citations
16 papers · 441 · h-index 11

Impact in

Papers in

J. Rafael

15 papers receiving 412 citations

Peers

J. Rafael
Comparison fields: 5 of 27
  • Physiology 212
  • Endocrine and Autonomic Systems 17
  • Ecology 40
  • Molecular Biology 65
  • Emergency Medicine 5
Replace Stephanie W. Y. Ma with:
Stephanie W. Y. Ma Canada
Louis Ambid France
Jane C. Roberts United States
U C Kozak United States
Matthew J. Myers United States
Myriam Néchad France
D.H. LEMESSURIER Australia
Teresa L. Squire United States
Vanessa Schein Brazil
Emma Sara Juracic Canada
J. Rafael relative to Stephanie W. Y. Ma Canada Stephanie W. Y. Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Rafael

Since Specialization
Citations

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

Fields of papers citing papers by J. Rafael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Rafael. 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 J. Rafael. The network helps show where J. Rafael may publish in the future.

Co-authors

The 12 scholars most cited alongside J. Rafael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Rafael Line = papers co-authored together J. Rafael links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198583
2 198278
3 197675
4
[Mitochondria from brown adipose tissue: uncoupling of respiratory chain phosphorylation by long fatty acids and recoupling by guanosine triphosphate].
196943
5 197728
6 198426
7 198620
8
[Mitochondria from brown fat: enzymes and respiratory chain phosphorylation during the pre- and postnatal development of the interscapular fat body of the guinea pig].
196817
9 197216
10 198516
11
[Oxidative phosphorylation by mitochondria from brown adipose tissue].
196815
12
[Mitochondria from brown and white adipose tissue: structure, enzyme profile and oxidative phosphorylation].
19709
13 19879
14 19834
15 19832
16 19810

About J. Rafael

J. Rafael is a scholar working on Physiology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 16 papers that have together received 441 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (212 citations), Endocrine and Autonomic Systems (17 citations), Ecology (40 citations), Molecular Biology (65 citations) and Emergency Medicine (5 citations). J. Rafael has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Hans Walter Heldt, H. J. Hohorst, David G. Nicholls, Gerhard Heldmaier, Stephan Steinlechner, Sonia A. Cunningham, Peter J. Leslie, N. R. Peden, D. Hopwood and Peter J. Illingworth. Their work appears in journals such as FEBS Letters, Journal of Thermal Biology, Cryobiology, Basic Research in Cardiology and International Journal of Biometeorology.

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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