Thomas G. Wheeler

31 total papers · 1.2k total citations
16 papers, 1.0k citations indexed

About

Thomas G. Wheeler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Thomas G. Wheeler has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Thomas G. Wheeler's work include Retinal Development and Disorders (9 papers), Visual perception and processing mechanisms (5 papers) and Photoreceptor and optogenetics research (5 papers). Thomas G. Wheeler is often cited by papers focused on Retinal Development and Disorders (9 papers), Visual perception and processing mechanisms (5 papers) and Photoreceptor and optogenetics research (5 papers). Thomas G. Wheeler collaborates with scholars based in United States. Thomas G. Wheeler's co-authors include Robert E. Anderson, R. M. Benolken, Harold F. Leeper, William K. Stell, Peter A. Dudley, Kén-Ichi Naka, K.A. Hardy and Dennis W. Blick and has published in prestigious journals such as Science, Brain Research and Brain Research Reviews.

In The Last Decade

Thomas G. Wheeler

15 papers receiving 951 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas G. Wheeler 539 444 266 166 118 16 1.0k
R. M. Benolken 403 0.7× 461 1.0× 191 0.7× 176 1.1× 21 0.2× 15 899
Elizabeth Yoder 386 0.7× 288 0.6× 183 0.7× 177 1.1× 149 1.3× 23 991
G. R. Ward 247 0.5× 464 1.0× 64 0.2× 125 0.8× 90 0.8× 31 1.1k
Véronique Pallet 511 0.9× 176 0.4× 204 0.8× 42 0.3× 53 0.4× 20 896
Alison Graham 528 1.0× 183 0.4× 234 0.9× 16 0.1× 82 0.7× 21 1.1k
Sanoj K. Suneja 287 0.5× 161 0.4× 254 1.0× 142 0.9× 459 3.9× 30 1.1k
Lawrence A. Rodriguez 445 0.8× 73 0.2× 296 1.1× 56 0.3× 67 0.6× 16 1.2k
Christian Cortés‐Campos 270 0.5× 179 0.4× 149 0.6× 23 0.1× 90 0.8× 22 966
William F. Zimmerman 674 1.3× 76 0.2× 533 2.0× 55 0.3× 14 0.1× 31 1.2k
R.C. Switzer 445 0.8× 127 0.3× 331 1.2× 16 0.1× 150 1.3× 17 1.2k

Countries citing papers authored by Thomas G. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Wheeler. 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 Thomas G. Wheeler. The network helps show where Thomas G. Wheeler may publish in the future.

Co-authorship network of co-authors of Thomas G. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Wheeler. A scholar is included among the top collaborators of Thomas G. Wheeler 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 Thomas G. Wheeler. Thomas G. Wheeler 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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