David Lenzi

2.0k total citations
9 papers, 1.1k citations indexed

About

David Lenzi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, David Lenzi has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Sensory Systems. Recurrent topics in David Lenzi's work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Ion channel regulation and function (3 papers) and Cellular transport and secretion (3 papers). David Lenzi is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (3 papers), Ion channel regulation and function (3 papers) and Cellular transport and secretion (3 papers). David Lenzi collaborates with scholars based in United States and Germany. David Lenzi's co-authors include William M. Roberts, Mark H. Ellisman, John Crum, Anne Duggan, Jason R. Meyers, David P. Corey, David G. Standaert, Jeffrey T. Corwin, Thomas D. Parsons and Wolfhard Almers and has published in prestigious journals such as Neuron, Journal of Neuroscience and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

David Lenzi

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Lenzi United States 7 596 575 404 281 123 9 1.1k
Sonja J. Pyott Netherlands 17 734 1.2× 465 0.8× 519 1.3× 402 1.4× 287 2.3× 35 1.3k
Claude J. Dechesne France 20 584 1.0× 594 1.0× 400 1.0× 75 0.3× 109 0.9× 35 1.1k
Gabriella Sekerková United States 17 350 0.6× 379 0.7× 252 0.6× 185 0.7× 116 0.9× 31 970
Josef G. Trapani United States 17 458 0.8× 415 0.7× 262 0.6× 263 0.9× 158 1.3× 32 1.0k
Alexandra Erven United Kingdom 9 673 1.1× 344 0.6× 287 0.7× 77 0.3× 99 0.8× 11 971
Linda Erkman United States 12 913 1.5× 316 0.5× 390 1.0× 123 0.4× 105 0.9× 20 1.3k
Richard Pellegrino United States 11 400 0.7× 324 0.6× 331 0.8× 79 0.3× 68 0.6× 21 889
Mark Eddison United States 15 696 1.2× 301 0.5× 365 0.9× 186 0.7× 107 0.9× 24 1.3k
Hanna M. Sobkowicz United States 19 381 0.6× 764 1.3× 300 0.7× 68 0.2× 209 1.7× 45 1.1k
Lauren P. Baker United States 14 458 0.8× 255 0.4× 400 1.0× 133 0.5× 69 0.6× 21 861

Countries citing papers authored by David Lenzi

Since Specialization
Citations

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

Fields of papers citing papers by David Lenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Lenzi. 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 David Lenzi. The network helps show where David Lenzi may publish in the future.

Co-authorship network of co-authors of David Lenzi

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

All Works

9 of 9 papers shown
1.
Vaisberg, Eugeni, David Lenzi, Richard L. Hansen, Brigitte H. Keon, & Jeffrey T. Finer. (2006). An Infrastructure for High‐Throughput Microscopy: Instrumentation, Informatics, and Integration. Methods in enzymology on CD-ROM/Methods in enzymology. 414. 484–512. 17 indexed citations
2.
Meyers, Jason R., Anne Duggan, David Lenzi, et al.. (2003). Lighting up the Senses: FM1-43 Loading of Sensory Cells through Nonselective Ion Channels. Journal of Neuroscience. 23(10). 4054–4065. 406 indexed citations
3.
Lenzi, David, John Crum, Mark H. Ellisman, & William M. Roberts. (2002). Depolarization Redistributes Synaptic Membrane and Creates a Gradient of Vesicles on the Synaptic Body at a Ribbon Synapse. Neuron. 36(4). 649–659. 135 indexed citations
4.
Lenzi, David & Henrique von Gersdorff. (2001). Structure suggests function: the case for synaptic ribbons as exocytotic nanomachines. BioEssays. 23(9). 831–840. 98 indexed citations
5.
Lenzi, David, et al.. (1999). Synaptic Vesicle Populations in Saccular Hair Cells Reconstructed by Electron Tomography. Journal of Neuroscience. 19(1). 119–132. 179 indexed citations
6.
Parsons, Thomas D., David Lenzi, Wolfhard Almers, & William M. Roberts. (1994). Calcium-triggered exocytosis and endocytosis in an isolated presynaptic cell: Capacitance measurements in saccular hair cells. Neuron. 13(4). 875–883. 207 indexed citations
7.
Lenzi, David & William M. Roberts. (1994). Calcium signalling in hair cells: multiple roles in a compact cell. Current Opinion in Neurobiology. 4(4). 496–502. 55 indexed citations
8.
Lenzi, David, Kathryn Radke, & Martin Wilson. (1993). Symmetrical segregation of potassium channels at cytokinesis. Journal of Neurobiology. 24(5). 675–686. 2 indexed citations
9.
Lenzi, David, Kathryn Radke, & Martin Wilson. (1991). Clonal cells from embryonic retinal cell lines express qualitative electrophysiological differences. Journal of Neurobiology. 22(8). 823–836. 5 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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