Michael De Vivo

1.5k total citations
27 papers, 1.3k citations indexed

About

Michael De Vivo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Michael De Vivo has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Pharmacology. Recurrent topics in Michael De Vivo's work include Receptor Mechanisms and Signaling (9 papers), Phosphodiesterase function and regulation (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Michael De Vivo is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Phosphodiesterase function and regulation (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Michael De Vivo collaborates with scholars based in United States, Switzerland and India. Michael De Vivo's co-authors include Saul Maayani, Gregory M. Rose, Allen T. Hopper, Ravi Iyengar, Ashok Tehim, Juan Codina, Chengjun Deng, Han‐Ting Zhang, James M. O’Donnell and Ying Huang and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Michael De Vivo

26 papers receiving 1.2k citations

Peers

Michael De Vivo

CMN

PHARM

BIOCH

PMH

Sigismund Huck Austria

Asheebo Rojas United States

Ricardo Augusto de Melo Reis Brazil

Natasja de Bruin Germany

Subbu Apparsundaram United States

Elżbieta Salińska Poland

J. Bockaert France

Taku Amano Japan

A. Cupello Italy

Kyung Ah Park South Korea

Sigismund Huck Austria

Michael De Vivo

1.2k ×1.4

958 ×1.5

CMN

87 ×0.5

PHARM

56 ×0.6

BIOCH

67 ×0.8

PMH

Citations per year, relative to Michael De Vivo Michael De Vivo (= 1×) peers Sigismund Huck

Countries citing papers authored by Michael De Vivo

Since Specialization

Citations

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

Fields of papers citing papers by Michael De Vivo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael De Vivo. 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 Michael De Vivo. The network helps show where Michael De Vivo may publish in the future.

Co-authorship network of co-authors of Michael De Vivo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael De Vivo. A scholar is included among the top collaborators of Michael De Vivo 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 Michael De Vivo. Michael De Vivo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yocca, Frank D., et al.. (2025). Dexmedetomidine potently and reversibly regulates stress-mediated behaviors. Frontiers in Pharmacology. 16. 1589075–1589075.

Citrome, Leslie, Sheldon Preskorn, John Lauriello, et al.. (2022). Sublingual Dexmedetomidine for the Treatment of Acute Agitation in Adults With Schizophrenia or Schizoaffective Disorder. The Journal of Clinical Psychiatry. 83(6). 17 indexed citations

Stepan, Antonia F., Tuan P. Tran, Christopher J. Helal, et al.. (2018). Late-Stage Microsomal Oxidation Reduces Drug–Drug Interaction and Identifies Phosphodiesterase 2A Inhibitor PF-06815189. ACS Medicinal Chemistry Letters. 9(2). 68–72. 25 indexed citations

Mugnier, Clifford J., et al.. (2016). Model-less/measurement-based computation of voltage sensitivities in unbalanced electrical distribution networks. ArODES (HES-SO (https://www.hes-so.ch/)). 1–7. 31 indexed citations

Carpita, Mauro, et al.. (2014). A rotating contactless power transfer system for space applications. ArODES (HES-SO (https://www.hes-so.ch/)). 238–242. 7 indexed citations

Carpita, Mauro, et al.. (2012). A Bidirectional DC/DC interleaved converter for supercapacitor applications. ArODES (HES-SO (https://www.hes-so.ch/)). 1. 149–153. 5 indexed citations

MacKenzie, Kirsty F., Chengjun Deng, York-Fong Cheung, et al.. (2008). Human PDE4A8, a novel brain-expressed PDE4 cAMP-specific phosphodiesterase that has undergone rapid evolutionary change. Biochemical Journal. 411(2). 361–369. 21 indexed citations

Deng, Chengjun, et al.. (2007). Assays for Cyclic Nucleotide‐Specific Phosphodiesterases (PDEs) in the Central Nervous System (PDE1, PDE2, PDE4, and PDE10). Current Protocols in Neuroscience. 38(1). Unit 7.21–Unit 7.21. 6 indexed citations

Zhang, Han‐Ting, Yu Zhao, Ying Huang, et al.. (2006). Antidepressant-like effects of PDE4 inhibitors mediated by the high-affinity rolipram binding state (HARBS) of the phosphodiesterase-4 enzyme (PDE4) in rats. Psychopharmacology. 186(2). 209–217. 49 indexed citations

10.

Rose, Gregory M., Allen T. Hopper, Michael De Vivo, & Ashok Tehim. (2005). Phosphodiesterase Inhibitors for Cognitive Enhancement. Current Pharmaceutical Design. 11(26). 3329–3334. 99 indexed citations

11.

Zhang, Han‐Ting, Ying Huang, Chengjun Deng, et al.. (2005). Effects of the novel PDE4 inhibitors MEM1018 and MEM1091 on memory in the radial-arm maze and inhibitory avoidance tests in rats. Psychopharmacology. 179(3). 613–619. 68 indexed citations

12.

Mulcahey, M.J., Caroline Anderson, Lawrence C. Vogel, et al.. (2004). Pediatric Spinal Cord Injury: Evidence-Based Practice and Outcomes. Topics in Spinal Cord Injury Rehabilitation. 10(2). 69–78. 8 indexed citations

13.

Wang, Daguang, Chengjun Deng, Christopher J. Leonard, et al.. (2003). Cloning and characterization of novel PDE4D isoforms PDE4D6 and PDE4D7. Cellular Signalling. 15(9). 883–891. 43 indexed citations

14.

Bell, Stanley C., Michael De Vivo, Sandra Lechner, et al.. (2001). ALX 5407: A Potent, Selective Inhibitor of the hGlyT1 Glycine Transporter. Molecular Pharmacology. 60(6). 1414–1420. 140 indexed citations

15.

Vivo, Michael De. (1994). [10] Assays for G-protein regulation of phospholipase C activity. Methods in enzymology on CD-ROM/Methods in enzymology. 238. 131–140. 9 indexed citations

16.

Vivo, Michael De, et al.. (1992). The Q205LGo-alpha subunit expressed in NIH-3T3 cells induces transformation. Journal of Biological Chemistry. 267(32). 23183–23188. 48 indexed citations

17.

Vivo, Michael De, et al.. (1992). Enhanced phospholipase C stimulation and transformation in NIH-3T3 cells expressing Q209LGq-alpha-subunits.. Journal of Biological Chemistry. 267(26). 18263–18266. 76 indexed citations

18.

Vivo, Michael De & Saul Maayani. (1990). Stimulation and inhibition of adenylyl cyclase by distinct 5-hydroxytryptamine receptors. Biochemical Pharmacology. 40(7). 1551–1558. 36 indexed citations

19.

Clarke, William P., Michael De Vivo, Sheryl G. Beck, Saul Maayani, & Joseph Goldfarb. (1987). Serotonin decreases population spike amplitude in hippocampal cells through a pertussis toxin substrate. Brain Research. 410(2). 357–361. 53 indexed citations

20.

Vivo, Michael De & Saul Maayani. (1986). Characterization of the 5-hydroxytryptamine1a receptor-mediated inhibition of forskolin-stimulated adenylate cyclase activity in guinea pig and rat hippocampal membranes.. Journal of Pharmacology and Experimental Therapeutics. 238(1). 248–253. 366 indexed citations

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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