Pedro Cuevas

159 papers receiving 3.9k citations

Peers

Pedro Cuevas
Comparison fields: 5 of 133
  • Developmental Neuroscience 223
  • Psychiatry and Mental health 710
  • Urology 277
  • Cellular and Molecular Neuroscience 606
  • Endocrinology, Diabetes and Metabolism 415
Replace Akifumi Togari with:
Akifumi Togari Japan
Florent Elefteriou United States
Masakiyo Sasahara Japan
Nathalie Chevallier France
Masaki Noda Japan
Masayuki Sasaki Japan
Toshiki Mizuno Japan
Gillian E. Knight United Kingdom
Anders Hægerstrand Sweden
Thomas Skutella Germany
Pedro Cuevas relative to Akifumi Togari Japan Akifumi Togari's profile →
Citations per field
00.5×4.3×
Akifumi Togari · 1×
Citations per year

Countries citing papers authored by Pedro Cuevas

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Cuevas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988214
2 1991196
3 2001190
4 1996185
5 2002134
6
Inhibition of fibroblast growth factor/fibroblast growth factor receptor activity in glioma cells impedes tumor growth by both angiogenesis-dependent and -independent mechanisms.
2001122
7 2009118
8 1984115
9 1987107
10 200387
11 201086
12 200486
13 198778
14 200172
15 199172
16 200265
17 199662
18 200157
19 199456
20 198851

About Pedro Cuevas

Pedro Cuevas is a scholar working on Molecular Biology, Cancer Research, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Ophthalmology, having authored 167 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (47 papers), Cancer, Hypoxia, and Metabolism (25 papers), Sexual function and dysfunction studies (22 papers), Angiogenesis and VEGF in Cancer (18 papers), Retinal Diseases and Treatments (11 papers), Hormonal and reproductive studies (10 papers), Glaucoma and retinal disorders (9 papers) and Nitric Oxide and Endothelin Effects (8 papers). The work is most often cited by research in Developmental Neuroscience (223 citations), Psychiatry and Mental health (710 citations), Urology (277 citations), Cellular and Molecular Neuroscience (606 citations) and Endocrinology, Diabetes and Metabolism (415 citations). Pedro Cuevas has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Guillermo Giménez‐Gallego, Fernando Carceller, Javier Angulo, Diana Reimers, Andrew Baird, Iñigo Sáenz de Tejada, Manuel Dujovny, Argentina Fernández, Jesús Burgos and B. Cuevas. Their work appears in journals such as Neurological Research, The Journal of Sexual Medicine, Cells Tissues Organs, Cellular and Molecular Life Sciences and British Journal of Pharmacology.

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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