M.L. Calcagno

20 total papers · 782 total citations
13 papers, 606 citations indexed

About

M.L. Calcagno is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M.L. Calcagno has authored 13 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M.L. Calcagno's work include Obesity, Physical Activity, Diet (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Dementia and Cognitive Impairment Research (3 papers). M.L. Calcagno is often cited by papers focused on Obesity, Physical Activity, Diet (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Dementia and Cognitive Impairment Research (3 papers). M.L. Calcagno collaborates with scholars based in Argentina, United Kingdom and United States. M.L. Calcagno's co-authors include Lorenzo Cavallaro, Rodolfo Campos, Marcelo L. Wagner, Graciela Ferraro, Tristán Bekinschtein, Facundo Manes, Teresa Torralva, Christopher Kipps, Luke Clark and María Roca and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

In The Last Decade

M.L. Calcagno

13 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
M.L. Calcagno 165 150 116 84 80 13 606
Mona A. El‐Bana 131 0.8× 70 0.5× 72 0.6× 193 2.3× 42 0.5× 25 687
Radu Lefter 87 0.5× 62 0.4× 61 0.5× 160 1.9× 58 0.7× 45 636
Pabitra Hriday Patra 64 0.4× 121 0.8× 60 0.5× 82 1.0× 25 0.3× 23 599
Renee E. Granger 64 0.4× 151 1.0× 116 1.0× 159 1.9× 95 1.2× 17 666
Joel Porfírio Pinto 114 0.7× 55 0.4× 64 0.6× 71 0.8× 44 0.6× 23 664
Paulina Gątarek 129 0.8× 79 0.5× 32 0.3× 263 3.1× 43 0.5× 18 633
Hong Chen 40 0.2× 104 0.7× 34 0.3× 117 1.4× 35 0.4× 20 662
M. G. Cascio 137 0.8× 45 0.3× 167 1.4× 70 0.8× 8 0.1× 9 698
Irene Soeller 58 0.4× 115 0.8× 121 1.0× 137 1.6× 56 0.7× 12 626
Vincent J. van Buul 49 0.3× 57 0.4× 57 0.5× 78 0.9× 132 1.6× 12 572

Countries citing papers authored by M.L. Calcagno

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Calcagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Calcagno. 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 M.L. Calcagno. The network helps show where M.L. Calcagno may publish in the future.

Co-authorship network of co-authors of M.L. Calcagno

This figure shows the co-authorship network connecting the top 25 collaborators of M.L. Calcagno. A scholar is included among the top collaborators of M.L. Calcagno 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 M.L. Calcagno. M.L. Calcagno 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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2026