R Proenca

3.2k citations
6 papers · 2.6k · 1 hit paper · h-index 5

Impact in

Papers in

R Proenca

6 papers receiving 2.5k citations

R Proenca's Hit Papers

Abnormal splicing of the leptin receptor in diabetic mice 1996 · 1.9k citations
1.9k0+10+20Years since publication50010001.5k

Peers

R Proenca
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 2.0k
  • Nutrition and Dietetics 1.2k
  • Physiology 1.1k
  • Epidemiology 1.0k
  • Endocrinology, Diabetes and Metabolism 159
Replace Craig Muir with:
Craig Muir United States
Karim El-Haschimi United States
Nathan Lakey United States
Ciaran Sewter United Kingdom
Masamichi Kuwajima Japan
Louise Sanders United Kingdom
Mikael Bjursell Sweden
Marion Buyse France
Nils Lambrecht United States
Marı́a A. Burrell Spain
R Proenca relative to Craig Muir United States Craig Muir's profile →
Citations per field
00.5×1.5×
Craig Muir · 1×
Citations per year

Countries citing papers authored by R Proenca

Since Specialization
Citations

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

Fields of papers citing papers by R Proenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside R Proenca, 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 R Proenca Line = papers co-authored together R Proenca links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Abnormal splicing of the leptin receptor in diabetic mice
Hit paper breakdown →
19961921
2 1995381
3 1995194
4 198864
5 199314
6 20243

About R Proenca

R Proenca is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Nutrition and Dietetics and Genetics, having authored 6 papers that have together received 2.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (2 papers), Adipose Tissue and Metabolism (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Bacterial biofilms and quorum sensing (1 paper), Neonatal Health and Biochemistry (1 paper), Toxoplasma gondii Research Studies (1 paper), Porphyrin Metabolism and Disorders (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (2.0k citations), Nutrition and Dietetics (1.2k citations), Physiology (1.1k citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (159 citations). R Proenca has collaborated with scholars based in United States, Morocco and Brazil. Frequent co-authors include Jeffrey M. Friedman, Jason Montez, Margherita Maffei, Yinxin Zhang, Christian Dani, Haotian Fei, Pascale Leroy, Gilho Lee, Gérard Ailhaud and Raymond Négrel. Their work appears in journals such as Genome Research, Nature, Journal of Bacteriology, Proceedings of the National Academy of Sciences and Antimicrobial Agents and Chemotherapy.

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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