Una S. Cheung

9 total papers · 448 total citations
9 papers, 357 citations indexed

About

Una S. Cheung is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Molecular Biology. According to data from OpenAlex, Una S. Cheung has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Insect Science and 2 papers in Molecular Biology. Recurrent topics in Una S. Cheung's work include Insect behavior and control techniques (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Una S. Cheung is often cited by papers focused on Insect behavior and control techniques (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Una S. Cheung collaborates with scholars based in Canada and United States. Una S. Cheung's co-authors include Alison S. Fleming, Daniel F. Eberl, Yashoda Sharma, Gabrielle L. Boulianne, H. L. Atwood, Robert S. Zucker, H. L. Atwood, Maureen Barry, J. J. B. Smith and Melanie A. Woodin and has published in prestigious journals such as Journal of Experimental Biology, Physiology & Behavior and genesis.

In The Last Decade

Una S. Cheung

9 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Una S. Cheung 181 121 115 69 59 9 357
Antonia Post 118 0.7× 69 0.6× 92 0.8× 73 1.1× 30 0.5× 12 335
Nicole Y. Leung 148 0.8× 47 0.4× 105 0.9× 22 0.3× 38 0.6× 10 328
Valerie L. Hedges 122 0.7× 118 1.0× 75 0.7× 85 1.2× 83 1.4× 11 371
May Hui 135 0.7× 104 0.9× 70 0.6× 67 1.0× 31 0.5× 10 331
Steven M. Specht 122 0.7× 120 1.0× 43 0.4× 57 0.8× 24 0.4× 10 382
Renee A. Countryman 220 1.2× 83 0.7× 67 0.6× 71 1.0× 22 0.4× 7 383
Andr� Calas 223 1.2× 89 0.7× 113 1.0× 34 0.5× 21 0.4× 8 393
Nina S. Hasen 73 0.4× 225 1.9× 72 0.6× 132 1.9× 73 1.2× 9 375
Lynne R. Ross 121 0.7× 73 0.6× 100 0.9× 42 0.6× 35 0.6× 12 375
Nancy Shannon 149 0.8× 66 0.5× 108 0.9× 53 0.8× 13 0.2× 7 359

Countries citing papers authored by Una S. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Una S. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Una S. Cheung

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