David J. Martens

9 total papers · 934 total citations
7 papers, 742 citations indexed

About

David J. Martens is a scholar working on Developmental Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Martens has authored 7 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Developmental Neuroscience, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Martens's work include Neurogenesis and neuroplasticity mechanisms (3 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Mesenchymal stem cell research (1 paper). David J. Martens is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (3 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Mesenchymal stem cell research (1 paper). David J. Martens collaborates with scholars based in Canada. David J. Martens's co-authors include Derek van der Kooy, Tod E. Kippin, Raewyn M. Seaberg, Vincent Tropepe, Ian Q. Whishaw, Elena I. Miklyaeva, Sergio M. Pellis, Evelyn F. Field, Neil V. Watson and Giuseppina Di Meglio and has published in prestigious journals such as Journal of Neuroscience, Genes & Development and Brain Research.

In The Last Decade

David J. Martens

7 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
David J. Martens 401 374 225 108 99 7 742
Claire Sauvageot 216 0.5× 506 1.4× 295 1.3× 105 1.0× 88 0.9× 9 861
Yvonne LeTourneau 387 1.0× 315 0.8× 218 1.0× 110 1.0× 54 0.5× 8 768
Dongin Yuk 401 1.0× 439 1.2× 146 0.6× 135 1.3× 89 0.9× 10 833
Patric A. Clapshaw 437 1.1× 417 1.1× 269 1.2× 46 0.4× 48 0.5× 9 837
Danielle Pham‐Dinh 352 0.9× 280 0.7× 216 1.0× 52 0.5× 34 0.3× 12 749
Sonia Bonilla 178 0.4× 452 1.2× 249 1.1× 151 1.4× 46 0.5× 17 747
Janel E. Le Belle 233 0.6× 466 1.2× 122 0.5× 102 0.9× 49 0.5× 7 865
Lai Man Natalie Wu 207 0.5× 417 1.1× 242 1.1× 54 0.5× 35 0.4× 11 774
M. Raoul 263 0.7× 329 0.9× 191 0.8× 93 0.9× 26 0.3× 12 688
Ronen Marmur 443 1.1× 365 1.0× 338 1.5× 106 1.0× 39 0.4× 15 854

Countries citing papers authored by David J. Martens

Since Specialization
Citations

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

Fields of papers citing papers by David J. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Martens

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