R. Torronteras

520 total citations
21 papers, 418 citations indexed

About

R. Torronteras is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Infectious Diseases. According to data from OpenAlex, R. Torronteras has authored 21 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Hepatology and 6 papers in Infectious Diseases. Recurrent topics in R. Torronteras's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Hepatitis C virus research (7 papers) and Tuberculosis Research and Epidemiology (2 papers). R. Torronteras is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Hepatitis C virus research (7 papers) and Tuberculosis Research and Epidemiology (2 papers). R. Torronteras collaborates with scholars based in Spain, United States and Germany. R. Torronteras's co-authors include Francisco Gracia‐Navarro, Justo P. Castaño, Francisco J. Medrano, Enrique J. Calderón, José Luis Villanueva‐Cañas, Socorro García‐Navarro, Jiménez-Mejías Me, J.M. Varela, José Luis Ramírez and Luís F. López‐Cortés and has published in prestigious journals such as Clinical Infectious Diseases, Endocrinology and Journal of Hepatology.

In The Last Decade

R. Torronteras

21 papers receiving 406 citations

Peers

R. Torronteras
Comparison fields: 5 of 62
  • Epidemiology 183
  • Infectious Diseases 147
  • Endocrinology, Diabetes and Metabolism 107
  • Hepatology 72
  • Parasitology 71
Replace Mubarak Magzoub with:
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Diana Echeverry Chile
Mio Tanaka Japan
D. Sacchini Italy
Fabian Gondorf Germany
Hui-Qun Wang United States
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Michael Frey United States
Ian D. Wells United States
T.A. Schuurs Netherlands
Mubarak Magzoub Sudan View profile →
Citations per field, relative to R. Torronteras
R. Torronteras · 1×
Citations per year, relative to R. Torronteras
R. Torronteras · 1×

Countries citing papers authored by R. Torronteras

Since Specialization
Citations

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

Fields of papers citing papers by R. Torronteras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Torronteras

This figure shows the co-authorship network connecting the top 25 collaborators of R. Torronteras. A scholar is included among the top collaborators of R. Torronteras 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 R. Torronteras. R. Torronteras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 16
3 66
4 3
5 33
6 70
7 40
8 17
9 42
10 10
11 5
12 9
13 2
14 1
15 48
16 28
17
[Q fever-induced endocarditis. An analysis of 6 cases].
1
18
[Prevalence of antibodies against hepatitis C virus in a sample of homosexual males].
3
19 15
20 3

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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