Marc A. Terranova
- Molecular Biology
- Psychiatry and Mental health top 10%
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- Jorge D. BrioniRobert B. MorelandMasaki NakaneDiana L. Donnelly‐RobertsLoan MillerRenjie ChangGin C. HsiehMarian T. Namovic
- Topics
- Receptor Mechanisms and Signaling (6 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Pharmacological Receptor Mechanisms and Effects (3 papers)
- Cited by
- Psychiatry and Mental healthCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsBiochemical Pharmacology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Marc A. Terranova
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 100
- Psychiatry and Mental health 91
- Cellular and Molecular Neuroscience 85
- Endocrinology, Diabetes and Metabolism 57
- Physiology 38
Countries citing papers authored by Marc A. Terranova
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 31 | |
| 3 | 78 | |
| 4 | 35 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 31 | |
| 8 | 43 |
About Marc A. Terranova
Marc A. Terranova is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Urology, having authored 8 papers that have together received 254 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Psychiatry and Mental health (91 citations), Cellular and Molecular Neuroscience (85 citations) and Endocrinology, Diabetes and Metabolism (57 citations). Marc A. Terranova has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jorge D. Brioni, Robert B. Moreland, Masaki Nakane, Diana L. Donnelly‐Roberts, Loan Miller, Renjie Chang, Gin C. Hsieh, Marian T. Namovic, Teodozyi Kolasa and Marie E. Uchic. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.
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.