Leandro Fernández‐Pérez

2.9k citations
95 papers · 2.2k indexed · h-index 28

Leandro Fernández‐Pérez

91 papers receiving 2.2k citations

Peers

Leandro Fernández‐Pérez
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 552
  • Toxicology 84
  • Cancer Research 269
  • Oncology 488
  • Molecular Biology 856
Replace G. Kerr Whitfield with:
G. Kerr Whitfield United States
Toshimasa Shinki Japan
Ilya Gukovsky United States
F. Bayard France
Pomila Singh United States
Yuichi Yokoyama Japan
Dominique Thomas Germany
Chung S. Song United States
Zhiming Liu China
Elvira Haas Switzerland
Leandro Fernández‐Pérez relative to G. Kerr Whitfield United States G. Kerr Whitfield's profile →
Citations per field
00.5×4.4×
G. Kerr Whitfield · 1×
Citations per year

Countries citing papers authored by Leandro Fernández‐Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Fernández‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro Fernández‐Pérez. 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 Leandro Fernández‐Pérez. The network helps show where Leandro Fernández‐Pérez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20231
4 20224
5 20222
6 20216
7 202123
8 20194
9 201932
10 201972
11 20156
12 201340
13 20115
14 20106
15 200913
16 200928
17 200436
18 199851
19 199815
20 199619

About Leandro Fernández‐Pérez

Leandro Fernández‐Pérez is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism, Genetics, Complementary and Manual Therapy and Oncology, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Cytokine Signaling Pathways and Interactions (14 papers), Bioactive Compounds and Antitumor Agents (13 papers), Hormonal Regulation and Hypertension (8 papers), Receptor Mechanisms and Signaling (6 papers), Hormonal and reproductive studies (6 papers) and Lipid metabolism and disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (552 citations), Toxicology (84 citations), Cancer Research (269 citations), Oncology (488 citations) and Molecular Biology (856 citations). Leandro Fernández‐Pérez has collaborated with scholars based in Spain, Sweden and Denmark. Frequent co-authors include Amilcar Flores‐Morales, Elizabeth Rico-Bautista, Gunnar Norstedt, Borja Guerra, B.N. Díaz-Chico, JC Diaz-Chico, Domingo Navarro, Ana Estévez‐Braun, José Manuel García-Castellano and Nina Ståhlberg. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Endocrinology, Pharmaceuticals, Molecular Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

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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