Dawnis M. Chow

11 total papers · 553 total citations
9 papers, 378 citations indexed

About

Dawnis M. Chow is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dawnis M. Chow has authored 9 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Genetics and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dawnis M. Chow's work include Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Plant and animal studies (3 papers). Dawnis M. Chow is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Plant and animal studies (3 papers). Dawnis M. Chow collaborates with scholars based in United States. Dawnis M. Chow's co-authors include Mark A. Frye, Brian J. Duistermars, Michael Condro, Jamie C. Theobald, Joseph R. Fetcho, David Sinefeld, Chris Xu, Dimitre G. Ouzounov, Kristine E. Kolkman and Andrew H. Bass and has published in prestigious journals such as Journal of Neuroscience, Nature Methods and Current Biology.

In The Last Decade

Dawnis M. Chow

9 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Dawnis M. Chow 264 138 132 78 55 9 378
Gus K. Lott 265 1.0× 111 0.8× 101 0.8× 37 0.5× 68 1.2× 6 350
Avinash Khandelwal 225 0.9× 112 0.8× 67 0.5× 33 0.4× 74 1.3× 4 344
Mehrab N Modi 373 1.4× 150 1.1× 100 0.8× 52 0.7× 109 2.0× 6 438
Joshua L. Lillvis 241 0.9× 114 0.8× 198 1.5× 62 0.8× 91 1.7× 14 401
Benjamin R. Kallman 353 1.3× 99 0.7× 92 0.7× 46 0.6× 78 1.4× 5 432
Diego A. Pacheco 278 1.1× 139 1.0× 157 1.2× 36 0.5× 53 1.0× 8 397
Sebastian Cachero 306 1.2× 151 1.1× 137 1.0× 34 0.4× 17 0.3× 12 375
Sabine Krofczik 342 1.3× 249 1.8× 195 1.5× 113 1.4× 47 0.9× 5 445
Lena van Giesen 253 1.0× 93 0.7× 96 0.7× 70 0.9× 16 0.3× 11 385
Claire McKellar 250 0.9× 117 0.8× 96 0.7× 28 0.4× 50 0.9× 11 374

Countries citing papers authored by Dawnis M. Chow

Since Specialization
Citations

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

Fields of papers citing papers by Dawnis M. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawnis M. Chow. 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 Dawnis M. Chow. The network helps show where Dawnis M. Chow may publish in the future.

Co-authorship network of co-authors of Dawnis M. Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Dawnis M. Chow. A scholar is included among the top collaborators of Dawnis M. Chow 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 Dawnis M. Chow. Dawnis M. Chow 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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