Virginia Mela

49 total papers · 1.3k total citations
40 papers, 987 citations indexed

About

Virginia Mela is a scholar working on Physiology, Endocrine and Autonomic Systems and Neurology. According to data from OpenAlex, Virginia Mela has authored 40 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 15 papers in Endocrine and Autonomic Systems and 11 papers in Neurology. Recurrent topics in Virginia Mela's work include Regulation of Appetite and Obesity (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Adipose Tissue and Metabolism (10 papers). Virginia Mela is often cited by papers focused on Regulation of Appetite and Obesity (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Adipose Tissue and Metabolism (10 papers). Virginia Mela collaborates with scholars based in Spain, Ireland and Lithuania. Virginia Mela's co-authors include María‐Paz Viveros, Marina A. Lynch, Allison McIntosh, Eva M. Marco, Alvaro Llorente‐Berzal, Meritxell López‐Gallardo, Julie A. Chowen, Jesús Argente, Francisca Díaz and Aedín M. Minogue and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Gut.

In The Last Decade

Virginia Mela

36 papers receiving 978 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia Mela 371 304 200 176 169 40 987
Lin Kooi Ong 445 1.2× 193 0.6× 164 0.8× 98 0.6× 227 1.3× 58 1.2k
H. O. Besedovsky 466 1.3× 163 0.5× 341 1.7× 266 1.5× 168 1.0× 16 1.1k
María José Bellini 269 0.7× 117 0.4× 208 1.0× 125 0.7× 179 1.1× 37 945
Katarzyna Głombik 270 0.7× 203 0.7× 365 1.8× 414 2.4× 313 1.9× 42 1.2k
I. Rinner 181 0.5× 146 0.5× 198 1.0× 125 0.7× 411 2.4× 33 1.1k
Joanna Ślusarczyk 279 0.8× 272 0.9× 334 1.7× 352 2.0× 341 2.0× 36 1.2k
Estefanía Acaz‐Fonseca 290 0.8× 172 0.6× 179 0.9× 90 0.5× 273 1.6× 21 999
Jordi Serrats 261 0.7× 119 0.4× 151 0.8× 154 0.9× 265 1.6× 26 997
Sheila M. Brooke 204 0.5× 164 0.5× 299 1.5× 122 0.7× 289 1.7× 32 1.1k
Ewa Trojan 357 1.0× 184 0.6× 314 1.6× 379 2.2× 346 2.0× 46 1.1k

Countries citing papers authored by Virginia Mela

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Mela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Mela

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Mela. A scholar is included among the top collaborators of Virginia Mela 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 Virginia Mela. Virginia Mela 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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