D. T. Campbell

29 total papers · 3.7k total citations
18 papers, 2.6k citations indexed

About

D. T. Campbell is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Bioengineering. According to data from OpenAlex, D. T. Campbell has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Bioengineering. Recurrent topics in D. T. Campbell's work include Neuroscience and Neural Engineering (7 papers), Ion channel regulation and function (5 papers) and Analytical Chemistry and Sensors (5 papers). D. T. Campbell is often cited by papers focused on Neuroscience and Neural Engineering (7 papers), Ion channel regulation and function (5 papers) and Analytical Chemistry and Sensors (5 papers). D. T. Campbell collaborates with scholars based in United States. D. T. Campbell's co-authors include Bertil Hille, Richard Hahin, Thomas D. Cook, Kurt G. Beam, John H. Caldwell, H L Ross, John Maas, Olaf R. Hedstrom, G. Black and M. Busch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and The Journal of General Physiology.

In The Last Decade

D. T. Campbell

17 papers receiving 2.1k citations

Hit Papers

Experimental and quasi-ex... 1963 2026 1984 2005 1963 1965 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
D. T. Campbell 601 549 545 404 295 18 2.6k
Aaron B. Taylor 303 0.5× 118 0.2× 787 1.4× 672 1.7× 745 2.5× 55 4.3k
Christopher Cherniak 95 0.2× 173 0.3× 1.1k 1.9× 233 0.6× 687 2.3× 25 4.0k
John C. Shaw 45 0.1× 142 0.3× 618 1.1× 125 0.3× 648 2.2× 55 3.9k
John G. Carlson 405 0.7× 58 0.1× 167 0.3× 76 0.2× 341 1.2× 99 2.5k
Chris Evans 320 0.5× 183 0.3× 1.0k 1.8× 659 1.6× 49 0.2× 40 2.9k
Mark Huisman 276 0.5× 81 0.1× 478 0.9× 248 0.6× 284 1.0× 68 2.8k
George Ainslie 90 0.1× 566 1.0× 587 1.1× 64 0.2× 603 2.0× 60 5.5k
Douglas G. Mook 107 0.2× 206 0.4× 460 0.8× 87 0.2× 575 1.9× 59 2.4k
Jeffrey A. Hall 195 0.3× 312 0.6× 1.3k 2.5× 317 0.8× 950 3.2× 112 3.7k
Gerhard Meisenberg 184 0.3× 201 0.4× 450 0.8× 147 0.4× 548 1.9× 83 1.9k

Countries citing papers authored by D. T. Campbell

Since Specialization
Citations

This map shows the geographic impact of D. T. Campbell'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 D. T. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. T. Campbell more than expected).

Fields of papers citing papers by D. T. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. T. Campbell. 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 D. T. Campbell. The network helps show where D. T. Campbell may publish in the future.

Co-authorship network of co-authors of D. T. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of D. T. Campbell. A scholar is included among the top collaborators of D. T. Campbell 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 D. T. Campbell. D. T. Campbell 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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