Raúl M. Luque

9.4k citations
264 papers · 6.8k · h-index 47

Impact in

Papers in

Raúl M. Luque

259 papers receiving 6.7k citations

Peers

Raúl M. Luque
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 1.4k
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Reproductive Medicine 586
  • Physiology 1.1k
  • Epidemiology 1.4k
Replace Justo P. Castaño with:
Justo P. Castaño Spain
Rhonda D. Kineman United States
Michael D. Culler United States
Manuel D. Gahete Spain
Fredric E. Wondisford United States
Adrian Clark United Kingdom
A Enjalbert France
Jan Törnell Sweden
Yasuhiko Okimura Japan
Adrian C. Herington Australia
Raúl M. Luque relative to Justo P. Castaño Spain Justo P. Castaño's profile →
Citations per field
00.5×1.5×
Justo P. Castaño · 1×
Citations per year

Countries citing papers authored by Raúl M. Luque

Since Specialization
Citations

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

Fields of papers citing papers by Raúl M. Luque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raúl M. Luque. 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 Raúl M. Luque. The network helps show where Raúl M. Luque may publish in the future.

Co-authors

The 25 scholars most cited alongside Raúl M. Luque, 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 Raúl M. Luque Line = papers co-authored together Raúl M. Luque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007222
2 2007183
3 2008144
4 2006133
5 2008124
6 2003117
7 2009115
8 2009112
9 2009104
10 201896
11 201186
12 200982
13 201182
14 201082
15 201278
16 201077
17 202074
18 200673
19 201372
20 201570

About Raúl M. Luque

Raúl M. Luque is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Endocrine and Autonomic Systems and Physiology, having authored 264 papers that have together received 6.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (69 papers), Pituitary Gland Disorders and Treatments (57 papers), Neuroendocrine Tumor Research Advances (46 papers), Regulation of Appetite and Obesity (45 papers), RNA Research and Splicing (28 papers), Adipose Tissue and Metabolism (24 papers), Neuroblastoma Research and Treatments (16 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Endocrinology, Diabetes and Metabolism (2.5k citations), Reproductive Medicine (586 citations), Physiology (1.1k citations) and Epidemiology (1.4k citations). Raúl M. Luque has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Rhonda D. Kineman, Justo P. Castaño, Manuel D. Gahete, José Córdoba‐Chacón, Manuel Tena‐Sempere, Francisco Gracia‐Navarro, Marı́a M. Malagón, Mario Durán‐Prado, Antonio J. Martínez‐Fuentes and Alejandro Ibáñez‐Costa. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Scientific Reports, International Journal of Molecular Sciences and Molecular and Cellular Endocrinology.

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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