Fernando Martín

21 total papers · 611 total citations
20 papers, 484 citations indexed

About

Fernando Martín is a scholar working on Cellular and Molecular Neuroscience, Genetics and Insect Science. According to data from OpenAlex, Fernando Martín has authored 20 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 7 papers in Genetics and 7 papers in Insect Science. Recurrent topics in Fernando Martín's work include Neurobiology and Insect Physiology Research (16 papers), Insect Utilization and Effects (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Fernando Martín is often cited by papers focused on Neurobiology and Insect Physiology Research (16 papers), Insect Utilization and Effects (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Fernando Martín collaborates with scholars based in Spain, United Kingdom and Germany. Fernando Martín's co-authors include Esther Alcorta, Carolina Gomez‐Diaz, Roger Hardie, Padinjat Raghu, S. P. W. Chave, Guy Cochrane, Pavel Georgiev, Mikko Juusola, Sylwester Chyb and Yuchun Gu and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Scientific Reports.

In The Last Decade

Fernando Martín

19 papers receiving 453 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernando Martín 359 144 116 106 97 20 484
Willem J. Laursen 289 0.8× 85 0.6× 92 0.8× 153 1.4× 166 1.7× 15 549
Esther Alcorta 415 1.2× 258 1.8× 175 1.5× 85 0.8× 107 1.1× 29 514
Carlotta Martelli 351 1.0× 160 1.1× 157 1.4× 73 0.7× 104 1.1× 15 451
Yong Taek Jeong 400 1.1× 215 1.5× 147 1.3× 57 0.5× 89 0.9× 23 521
Gérard Manière 292 0.8× 153 1.1× 122 1.1× 62 0.6× 24 0.2× 20 412
Julien Colomb 355 1.0× 113 0.8× 183 1.6× 60 0.6× 27 0.3× 25 518
Jessica Robertson 218 0.6× 63 0.4× 92 0.8× 94 0.9× 80 0.8× 9 435
Yuriy V. Bobkov 366 1.0× 198 1.4× 83 0.7× 65 0.6× 163 1.7× 34 491
Dhananjay Thakur 224 0.6× 84 0.6× 58 0.5× 130 1.2× 156 1.6× 16 486
Andrew K. Shepherd 344 1.0× 118 0.8× 196 1.7× 84 0.8× 32 0.3× 10 454

Countries citing papers authored by Fernando Martín

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Martín

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

All Works

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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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