Marcos Mônico‐Neto

53 total papers · 787 total citations
30 papers, 571 citations indexed

About

Marcos Mônico‐Neto is a scholar working on Physiology, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Marcos Mônico‐Neto has authored 30 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Rehabilitation and 7 papers in Cognitive Neuroscience. Recurrent topics in Marcos Mônico‐Neto's work include Exercise and Physiological Responses (10 papers), Sleep and Wakefulness Research (6 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers). Marcos Mônico‐Neto is often cited by papers focused on Exercise and Physiological Responses (10 papers), Sleep and Wakefulness Research (6 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers). Marcos Mônico‐Neto collaborates with scholars based in Brazil, Canada and United States. Marcos Mônico‐Neto's co-authors include Hanna Karen Moreira Antunes, Sérgio Tufik, Marco Túlio de Mello, M. Dattilo, Alessandra Medeiros, Kil Sun Lee, Helton de Sá Souza, Ronaldo Vagner Thomatieli dos Santos, Daniel Araki Ribeiro and Stuart M. Phillips and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Marcos Mônico‐Neto

30 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Marcos Mônico‐Neto	259	210	166	95	81	30	571
M. Dattilo	307 1.2×	228 1.1×	172 1.0×	100 1.1×	77 1.0×	24	635
Helton de Sá Souza	210 0.8×	225 1.1×	131 0.8×	70 0.7×	71 0.9×	21	685
Harris R. Lieberman	91 0.4×	243 1.2×	59 0.4×	74 0.8×	36 0.4×	34	536
C. W. Deroshia	186 0.7×	292 1.4×	107 0.6×	199 2.1×	39 0.5×	22	697
Salma Abedelmalek	148 0.6×	208 1.0×	65 0.4×	73 0.8×	87 1.1×	32	570
Samuel A. Pullinger	233 0.9×	205 1.0×	151 0.9×	72 0.8×	96 1.2×	50	686
J. P. Libert	130 0.5×	322 1.5×	160 1.0×	178 1.9×	100 1.2×	32	614
W. S. Myles	143 0.6×	101 0.5×	70 0.4×	32 0.3×	27 0.3×	23	545
Francieli S. Ruiz	304 1.2×	169 0.8×	238 1.4×	302 3.2×	29 0.4×	33	695
Jean‐Claude Jouanin	78 0.3×	70 0.3×	144 0.9×	45 0.5×	79 1.0×	25	545

Countries citing papers authored by Marcos Mônico‐Neto

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Mônico‐Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Mônico‐Neto. 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 Marcos Mônico‐Neto. The network helps show where Marcos Mônico‐Neto may publish in the future.

Co-authorship network of co-authors of Marcos Mônico‐Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Mônico‐Neto. A scholar is included among the top collaborators of Marcos Mônico‐Neto 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 Marcos Mônico‐Neto. Marcos Mônico‐Neto 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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