David A. Yarmolinsky

16 total papers · 2.6k total citations
10 papers, 1.8k citations indexed

About

David A. Yarmolinsky is a scholar working on Sensory Systems, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, David A. Yarmolinsky has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 4 papers in Nutrition and Dietetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in David A. Yarmolinsky's work include Olfactory and Sensory Function Studies (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Neurobiology and Insect Physiology Research (3 papers). David A. Yarmolinsky is often cited by papers focused on Olfactory and Sensory Function Studies (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Neurobiology and Insect Physiology Research (3 papers). David A. Yarmolinsky collaborates with scholars based in United States, Switzerland and Portugal. David A. Yarmolinsky's co-authors include Charles S. Zuker, Nicholas J. P. Ryba, Jayaram Chandrashekar, Yuki Oka, Edith Hümmler, Christina Kühn, William S. Sly, Mark A. Hoon, Michael Rutlin and Yueqing Peng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David A. Yarmolinsky

10 papers receiving 1.7k citations

Hit Papers

Common Sense about Taste:... 2009 2026 2014 2020 2009 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
David A. Yarmolinsky 1.2k 1.0k 588 401 227 10 1.8k
Wayne L. Silver 1.3k 1.1× 1.6k 1.6× 690 1.2× 715 1.8× 285 1.3× 39 2.4k
Justus V. Verhagen 1.1k 0.9× 1.6k 1.5× 620 1.1× 871 2.2× 87 0.4× 50 2.4k
Hanyi Zhuang 1.4k 1.2× 1.8k 1.8× 872 1.5× 961 2.4× 360 1.6× 30 2.3k
Gerard L. Heck 1.9k 1.7× 1.6k 1.6× 948 1.6× 610 1.5× 390 1.7× 50 2.3k
Patricia Duchamp‐Viret 765 0.7× 1.3k 1.3× 424 0.7× 1.1k 2.7× 71 0.3× 39 1.6k
Bruce P. Bryant 536 0.5× 697 0.7× 195 0.3× 382 1.0× 241 1.1× 48 1.3k
Michel Chaput 810 0.7× 1.4k 1.4× 484 0.8× 1.1k 2.8× 45 0.2× 34 1.7k
Keiichi Tonosaki 482 0.4× 487 0.5× 259 0.4× 301 0.8× 403 1.8× 58 1.6k
Nathalie Mandairon 471 0.4× 1.5k 1.5× 366 0.6× 930 2.3× 155 0.7× 55 2.1k
Weihong Lin 1.0k 0.9× 1.2k 1.1× 422 0.7× 567 1.4× 256 1.1× 46 1.6k

Countries citing papers authored by David A. Yarmolinsky

Since Specialization
Citations

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

Fields of papers citing papers by David A. Yarmolinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Yarmolinsky

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