Peter V. Lovell

9.8k total citations
41 papers, 1.0k citations indexed

About

Peter V. Lovell is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Peter V. Lovell has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Developmental Biology, 22 papers in Ecology, Evolution, Behavior and Systematics and 22 papers in Ecology. Recurrent topics in Peter V. Lovell's work include Animal Vocal Communication and Behavior (24 papers), Animal Behavior and Reproduction (21 papers) and Marine animal studies overview (18 papers). Peter V. Lovell is often cited by papers focused on Animal Vocal Communication and Behavior (24 papers), Animal Behavior and Reproduction (21 papers) and Marine animal studies overview (18 papers). Peter V. Lovell collaborates with scholars based in United States, United Kingdom and Brazil. Peter V. Lovell's co-authors include Claudio V. Mello, David P. McCobb, Morgan Wirthlin, Leonid L. Moroz, David F. Clayton, Kirstin Replogle, Julia B. Carleton, Raphael Pinaud, Marcos Fraga Fortes and Mary Lou Zeeman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Peter V. Lovell

41 papers receiving 997 citations

Peers

Peter V. Lovell

EEBS

ECOLO

CMN

Toshiyuki Shiraki Japan

Christopher K. Thompson United States

N. Aste Italy

Chun‐Chun Chen United States

Hamilton E. Farris United States

Orlan M. Youngren United States

G. Heth Israel

Tarciso Velho United States

Agnès Foidart Belgium

R.E. Hutchison United Kingdom

Toshiyuki Shiraki Japan

Peter V. Lovell

186 ×0.4

EEBS

112 ×0.3

1.1k ×3.0

143 ×0.4

ECOLO

328 ×1.5

CMN

Citations per year, relative to Peter V. Lovell Peter V. Lovell (= 1×) peers Toshiyuki Shiraki

Countries citing papers authored by Peter V. Lovell

Since Specialization

Citations

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

Fields of papers citing papers by Peter V. Lovell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter V. Lovell. 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 Peter V. Lovell. The network helps show where Peter V. Lovell may publish in the future.

Co-authorship network of co-authors of Peter V. Lovell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter V. Lovell. A scholar is included among the top collaborators of Peter V. Lovell 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 Peter V. Lovell. Peter V. Lovell 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

Lovell, Peter V., et al.. (2023). Motor cortex analogue neurons in songbirds utilize Kv3 channels to generate ultranarrow spikes. eLife. 12. 7 indexed citations

Bell, Zachary W., Peter V. Lovell, Claudio V. Mello, et al.. (2019). Urotensin-related gene transcripts mark developmental emergence of the male forebrain vocal control system in songbirds. Scientific Reports. 9(1). 816–816. 4 indexed citations

Friedrich, Samantha R., et al.. (2019). Exploring the molecular basis of neuronal excitability in a vocal learner. BMC Genomics. 20(1). 629–629. 8 indexed citations

Lovell, Peter V., et al.. (2018). Curation of microarray oligonucleotides and corresponding ESTs/cDNAs used for gene expression analysis in zebra finches. BMC Research Notes. 11(1). 309–309. 3 indexed citations

Mello, Claudio V. & Peter V. Lovell. (2017). Avian genomics lends insights into endocrine function in birds. General and Comparative Endocrinology. 256. 123–129. 7 indexed citations

Wirthlin, Morgan, Peter V. Lovell, Erich D. Jarvis, & Claudio V. Mello. (2014). Comparative genomics reveals molecular features unique to the songbird lineage. BMC Genomics. 15(1). 1082–1082. 24 indexed citations

Carleton, Julia B., et al.. (2014). An Optimized Protocol for High-Throughput In Situ Hybridization of Zebra Finch Brain. Cold Spring Harbor Protocols. 2014(12). pdb.prot084582–pdb.prot084582. 20 indexed citations

Olson, Christopher R., Morgan Wirthlin, Peter V. Lovell, & Claudio V. Mello. (2014). Proper Care, Husbandry, and Breeding Guidelines for the Zebra Finch,Taeniopygia guttata. Cold Spring Harbor Protocols. 2014(12). pdb.prot084780–pdb.prot084780. 14 indexed citations

Kong, Lesheng, Peter V. Lovell, Andreas Heger, Claudio V. Mello, & Chris P. Ponting. (2010). Accelerated Evolution of PAK3- and PIM1-like Kinase Gene Families in the Zebra Finch, Taeniopygia guttata. Molecular Biology and Evolution. 27(8). 1923–1934. 11 indexed citations

10.

Lovell, Peter V. & Claudio V. Mello. (2010). Brain expression and song regulation of the cholecystokinin gene in the zebra finch (Taeniopygia guttata). The Journal of Comparative Neurology. 519(2). 211–237. 24 indexed citations

11.

Lovell, Peter V., David F. Clayton, Kirstin Replogle, & Claudio V. Mello. (2008). Birdsong “Transcriptomics”: Neurochemical Specializations of the Oscine Song System. PLoS ONE. 3(10). e3440–e3440. 78 indexed citations

12.

Wood, William E., Christopher R. Olson, Peter V. Lovell, & Claudio V. Mello. (2008). Dietary retinoic acid affects song maturation and gene expression in the song system of the zebra finch. Developmental Neurobiology. 68(10). 1213–1224. 15 indexed citations

13.

Lovell, Peter V. & Leonid L. Moroz. (2006). The largest growth cones in the animal kingdom: an illustrated guide to the dynamics of Aplysia neuronal growth in cell culture. Integrative and Comparative Biology. 46(6). 847–870. 12 indexed citations

14.

Lovell, Peter V., et al.. (2006). β2 and β4 Subunits of BK Channels Confer Differential Sensitivity to Acute Modulation by Steroid Hormones. Journal of Neurophysiology. 95(5). 2878–2888. 66 indexed citations

15.

Moroz, Leonid L., et al.. (2005). Direct single cell determination of nitric oxide synthase related metabolites in identified nitrergic neurons. Journal of Inorganic Biochemistry. 99(4). 929–939. 45 indexed citations

16.

Lovell, Peter V., Sami H. Jezzini, & Leonid L. Moroz. (2005). Electroporation of neurons and growth cones in Aplysia californica. Journal of Neuroscience Methods. 151(2). 114–120. 21 indexed citations

17.

Pinaud, Raphael, Marcos Fraga Fortes, Peter V. Lovell, & Claudio V. Mello. (2005). Calbindin‐positive neurons reveal a sexual dimorphism within the songbird analogue of the mammalian auditory cortex. Journal of Neurobiology. 66(2). 182–195. 46 indexed citations

18.

Drake, Timothy J., Sami H. Jezzini, Peter V. Lovell, Leonid L. Moroz, & Weihong Tan. (2005). Single cell glutamate analysis in Aplysia sensory neurons. Journal of Neuroscience Methods. 144(1). 73–77. 9 indexed citations

19.

Gruenhagen, Jason, Peter V. Lovell, Leonid L. Moroz, & Edward S. Yeung. (2004). Monitoring real-time release of ATP from the molluscan central nervous system. Journal of Neuroscience Methods. 139(2). 145–152. 24 indexed citations

20.

Lovell, Peter V., et al.. (2002). Accurate quantitative RT-PCR for relative expression of Slo splice variants. Journal of Neuroscience Methods. 115(2). 189–198. 9 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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