Cameron H. Good

46 total papers · 1.7k total citations
29 papers, 955 citations indexed

About

Cameron H. Good is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Cameron H. Good has authored 29 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Cameron H. Good's work include Neuroscience and Neuropharmacology Research (16 papers), Sleep and Wakefulness Research (10 papers) and Photoreceptor and optogenetics research (8 papers). Cameron H. Good is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Sleep and Wakefulness Research (10 papers) and Photoreceptor and optogenetics research (8 papers). Cameron H. Good collaborates with scholars based in United States, Taiwan and South Korea. Cameron H. Good's co-authors include Carl R. Lupica, Alexander F. Hoffman, Allison J. Brager, Vincent F. Capaldi, Huikun Wang, Vincent Mysliwiec, Thomas C. Jhou, Edgar García‐Rill, Nora Laaris and R.D. Skinner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Cameron H. Good

28 papers receiving 943 citations

Author Peers

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

Author Last Decade Papers Cites
Cameron H. Good 624 300 245 122 116 29 955
Daniela Noaín 418 0.7× 353 1.2× 274 1.1× 179 1.5× 177 1.5× 29 977
Stephanie C. Licata 554 0.9× 413 1.4× 265 1.1× 143 1.2× 26 0.2× 27 1.1k
Aaron B. Nelson 451 0.7× 639 2.1× 182 0.7× 61 0.5× 217 1.9× 22 1.1k
Bruce J. Albala 838 1.3× 299 1.0× 279 1.1× 76 0.6× 69 0.6× 20 1.2k
Seth K. Sharpless 506 0.8× 549 1.8× 199 0.8× 55 0.5× 58 0.5× 24 1.2k
Stefano Gaburro 490 0.8× 388 1.3× 196 0.8× 91 0.7× 58 0.5× 24 1.0k
Lu Huang 347 0.6× 240 0.8× 229 0.9× 37 0.3× 207 1.8× 38 861
Irene Brunk 512 0.8× 199 0.7× 433 1.8× 47 0.4× 294 2.5× 30 1.0k
Giuseppe Gangarossa 717 1.1× 295 1.0× 456 1.9× 145 1.2× 158 1.4× 42 1.2k
Alexander Friedman 657 1.1× 413 1.4× 220 0.9× 281 2.3× 41 0.4× 29 1.0k

Countries citing papers authored by Cameron H. Good

Since Specialization
Citations

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

Fields of papers citing papers by Cameron H. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron H. Good. 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 Cameron H. Good. The network helps show where Cameron H. Good may publish in the future.

Co-authorship network of co-authors of Cameron H. Good

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron H. Good. A scholar is included among the top collaborators of Cameron H. Good 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 Cameron H. Good. Cameron H. Good 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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