F. MENA

84 papers receiving 1.6k citations

Peers

F. MENA
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 272
  • Behavioral Neuroscience 119
  • Reproductive Medicine 234
  • Endocrinology, Diabetes and Metabolism 304
  • Neurology 239
Replace Gian‐Luca Ferri with:
Gian‐Luca Ferri Italy
Philippe Leroux France
Dieter Meyer Germany
B. Kanyicska Hungary
Adriana Seilicovich Argentina
Kyriaki Gerozissis France
Joseph T. McCabe United States
György M. Nagy Hungary
Héctor Coirini Argentina
Robert Rivest Canada
F. MENA relative to Gian‐Luca Ferri Italy Gian‐Luca Ferri's profile →
Citations per field
00.5×1.5×
Gian‐Luca Ferri · 1×
Citations per year

Countries citing papers authored by F. MENA

Since Specialization
Citations

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

Fields of papers citing papers by F. MENA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980102
2 197682
3 200581
4 201067
5 197959
6 198051
7 197147
8 201746
9 200242
10 201141
11 201040
12 200740
13 200836
14 197935
15 201034
16 202133
17 201032
18 197231
19 196731
20 200930

About F. MENA

F. MENA is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Animal Science and Zoology, Social Psychology and Endocrine and Autonomic Systems, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Neuroendocrine regulation and behavior (14 papers), Hypothalamic control of reproductive hormones (11 papers), Rabbits: Nutrition, Reproduction, Health (10 papers), Stress Responses and Cortisol (9 papers), Animal Nutrition and Physiology (9 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Infant Health and Development (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (272 citations), Behavioral Neuroscience (119 citations), Reproductive Medicine (234 citations), Endocrinology, Diabetes and Metabolism (304 citations) and Neurology (239 citations). F. MENA has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include C. E. GROSVENOR, Neil S. Whitworth, Rosario Osta, Marı́a Jesús Muñoz, Enrique Martínez‐Ballarín, P. Zaragoza, Carmen Clapp, Lorena Fuentes‐Broto, Joaquín J. García and Philippe Brûlet. Their work appears in journals such as Endocrinology, Journal of Endocrinology, Animals, Hormones and Behavior and Physiology & Behavior.

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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