Marcelo P. Coba

47 total papers · 6.0k total citations
28 papers, 1.3k citations indexed

About

Marcelo P. Coba is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Marcelo P. Coba has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Marcelo P. Coba's work include Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Marcelo P. Coba is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Marcelo P. Coba collaborates with scholars based in United States, United Kingdom and Argentina. Marcelo P. Coba's co-authors include Seth G. N. Grant, Mark O. Collins, Jyoti S. Choudhary, Brent Wilkinson, Thomas J. O’Dell, Iain Campuzano, Walter Blackstock, Holger Husi, Lu Yu and Jing Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Marcelo P. Coba

28 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Marcelo P. Coba 766 526 239 212 188 28 1.3k
Randall S. Walikonis 875 1.1× 793 1.5× 337 1.4× 246 1.2× 146 0.8× 31 1.5k
Mike D. R. Croning 710 0.9× 511 1.0× 210 0.9× 279 1.3× 189 1.0× 12 1.2k
Jochen Schwenk 1.2k 1.6× 1.3k 2.4× 238 1.0× 114 0.5× 168 0.9× 23 1.8k
Matthew L. MacDonald 766 1.0× 622 1.2× 128 0.5× 294 1.4× 222 1.2× 43 1.7k
Andrew C. Penn 836 1.1× 760 1.4× 107 0.4× 89 0.4× 182 1.0× 21 1.4k
Claude Walzer 571 0.7× 406 0.8× 102 0.4× 79 0.4× 76 0.4× 42 1.2k
Guy Daneels 642 0.8× 438 0.8× 158 0.7× 139 0.7× 97 0.5× 17 1.3k
Sarah K. Coleman 918 1.2× 843 1.6× 159 0.7× 66 0.3× 110 0.6× 33 1.2k
R.S. Cohen 912 1.2× 1.0k 1.9× 317 1.3× 103 0.5× 270 1.4× 15 1.6k
Hiroshi Ageta 660 0.9× 383 0.7× 121 0.5× 137 0.6× 204 1.1× 19 1.2k

Countries citing papers authored by Marcelo P. Coba

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo P. Coba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo P. Coba. 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 Marcelo P. Coba. The network helps show where Marcelo P. Coba may publish in the future.

Co-authorship network of co-authors of Marcelo P. Coba

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo P. Coba. A scholar is included among the top collaborators of Marcelo P. Coba 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 Marcelo P. Coba. Marcelo P. Coba 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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