Marc A. Terranova

15 total papers · 426 total citations
8 papers, 254 citations indexed

About

Marc A. Terranova is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Marc A. Terranova has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Psychiatry and Mental health. Recurrent topics in Marc A. Terranova's work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Sexual function and dysfunction studies (3 papers). Marc A. Terranova is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Sexual function and dysfunction studies (3 papers). Marc A. Terranova collaborates with scholars based in United States and United Kingdom. Marc A. Terranova's co-authors include Jorge D. Brioni, Robert B. Moreland, Diana L. Donnelly‐Roberts, Loan Miller, Masaki Nakane, Renjie Chang, Gin C. Hsieh, Marian T. Namovic, Teodozyi Kolasa and Marie E. Uchic and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

Marc A. Terranova

8 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Marc A. Terranova 100 91 85 57 38 8 254
Peter R. Hollingsworth 104 1.0× 56 0.6× 167 2.0× 29 0.5× 71 1.9× 7 315
J. Parkes 54 0.5× 26 0.3× 78 0.9× 34 0.6× 30 0.8× 9 238
N Quinn 30 0.3× 59 0.6× 51 0.6× 21 0.4× 18 0.5× 11 296
Joop H. Wieringa 102 1.0× 54 0.6× 154 1.8× 11 0.2× 23 0.6× 8 326
F. Bernardi 69 0.7× 146 1.6× 71 0.8× 88 1.5× 16 0.4× 16 319
TF Münte 64 0.6× 59 0.6× 30 0.4× 13 0.2× 15 0.4× 12 208
Martine Germain 109 1.1× 21 0.2× 129 1.5× 15 0.3× 45 1.2× 12 331
L. Heikkilä 84 0.8× 88 1.0× 121 1.4× 21 0.4× 28 0.7× 16 320
I. M�ller Nielsen 115 1.1× 81 0.9× 214 2.5× 8 0.1× 43 1.1× 6 326
Yatendra Mulpuri 87 0.9× 17 0.2× 99 1.2× 50 0.9× 112 2.9× 14 300

Countries citing papers authored by Marc A. Terranova

Since Specialization
Citations

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

Fields of papers citing papers by Marc A. Terranova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc A. Terranova. 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 Marc A. Terranova. The network helps show where Marc A. Terranova may publish in the future.

Co-authorship network of co-authors of Marc A. Terranova

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