Laurence S. David

25 total papers · 907 total citations
16 papers, 720 citations indexed

About

Laurence S. David is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Laurence S. David has authored 16 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Laurence S. David's work include Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Laurence S. David is often cited by papers focused on Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Laurence S. David collaborates with scholars based in Canada, United States and China. Laurence S. David's co-authors include Terrance P. Snutch, Esperanza Garcı́a, Russell A. Nicholson, Stuart M. Cain, Jian Zheng, Leanne Coyne, Gurpreet Singh, Graham V. Lees, Caroline L. Ng and Christopher A. Reid and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Brain Research.

In The Last Decade

Laurence S. David

16 papers receiving 707 citations

Author Peers

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

Author Last Decade Papers Cites
Laurence S. David 392 385 131 117 107 16 720
P. E. SETLER 397 1.0× 285 0.7× 75 0.6× 47 0.4× 83 0.8× 13 638
Gerhard Hapfelmeier 413 1.1× 312 0.8× 71 0.5× 60 0.5× 76 0.7× 25 893
Russell M. Sanchez 436 1.1× 257 0.7× 171 1.3× 48 0.4× 79 0.7× 26 835
J.R. Boissier 326 0.8× 297 0.8× 207 1.6× 78 0.7× 117 1.1× 16 788
Chase M. Carver 443 1.1× 371 1.0× 134 1.0× 38 0.3× 78 0.7× 23 795
K.J. Rogers 423 1.1× 346 0.9× 67 0.5× 83 0.7× 143 1.3× 36 853
Ingrid Y. Liu 166 0.4× 288 0.7× 84 0.6× 87 0.7× 211 2.0× 29 846
Kimberly L. Panizzon 307 0.8× 278 0.7× 83 0.6× 65 0.6× 208 1.9× 19 746
Susumu Koyama 552 1.4× 353 0.9× 47 0.4× 50 0.4× 121 1.1× 26 750
Gunnar Flik 416 1.1× 288 0.7× 102 0.8× 126 1.1× 184 1.7× 27 893

Countries citing papers authored by Laurence S. David

Since Specialization
Citations

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

Fields of papers citing papers by Laurence S. David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence S. David

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence S. David. A scholar is included among the top collaborators of Laurence S. David 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 Laurence S. David. Laurence S. David 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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