Fernando Calahorro

699 citations
25 papers · 459 indexed · h-index 12
Topics
Genetics, Aging, and Longevity in Model Organisms (20 papers)Circadian rhythm and melatonin (10 papers)Autism Spectrum Disorder Research (5 papers)

In The Last Decade

Fernando Calahorro

25 papers receiving 451 citations

Peers

Fernando Calahorro
Comparison fields: 5 of 85
  • Aging 219
  • Molecular Biology 146
  • Endocrine and Autonomic Systems 107
  • Cellular and Molecular Neuroscience 81
  • Physiology 65
Replace Zheng‐Xing Wu with:
Zheng‐Xing Wu China
Amanda Kauffman United States
Adam R. Brown United States
Diego Rayes Argentina
Huaying Sun China
Norio Akaike Japan
Marina Ezcurra United Kingdom
Curtis M. Loer United States
Kyoung-hye Yoon South Korea
Mike Grotewiel United States
Fernando Calahorro relative to Zheng‐Xing Wu China Zheng‐Xing Wu's profile →
Citations per field
00.5×1.6×
Zheng‐Xing Wu · 1×
Citations per year

Countries citing papers authored by Fernando Calahorro

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Calahorro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Calahorro

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Calahorro. A scholar is included among the top collaborators of Fernando Calahorro 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 Fernando Calahorro. Fernando Calahorro 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
#WorkIndexed citations
1 3
2 1
3 9
4 6
5 13
6 6
7 10
8 10
9 20
10 10
11 27
12 21
13 11
14 19
15 9
16 13
17 23
18 62
19 20
20 2

About Fernando Calahorro

Fernando Calahorro is a scholar working on Aging, Endocrine and Autonomic Systems and Business and International Management, having authored 25 papers that have together received 459 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Circadian rhythm and melatonin (10 papers) and Autism Spectrum Disorder Research (5 papers). The work is most often cited by research in Aging (219 citations), Endocrine and Autonomic Systems (107 citations) and Cellular and Molecular Neuroscience (81 citations). Fernando Calahorro has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Manuel Ruiz‐Rubio, Robert Walker, А. S. Pivovarov, Lindy Holden‐Dye, Vincent O’Connor, James Dillon, Ángeles Alonso-Moraga, Christopher J. Franks, Inmaculada Tasset-Cuevas and Isao Katsura. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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