Charles L. Goodrick

57 total papers · 2.3k total citations
48 papers, 1.8k citations indexed

About

Charles L. Goodrick is a scholar working on Physiology, Aging and Behavioral Neuroscience. According to data from OpenAlex, Charles L. Goodrick has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 9 papers in Aging and 7 papers in Behavioral Neuroscience. Recurrent topics in Charles L. Goodrick's work include Adipose Tissue and Metabolism (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers) and Stress Responses and Cortisol (7 papers). Charles L. Goodrick is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers) and Stress Responses and Cortisol (7 papers). Charles L. Goodrick collaborates with scholars based in United States, Pakistan and Hungary. Charles L. Goodrick's co-authors include Donald K. Ingram, John R. Freeman, Mark A. Reynolds, Edythe D. London, M. A. Reynolds, Steven B. Waller, D. L. Ingram, W. F. Forbes, D. Loew and Dick Knook and has published in prestigious journals such as Developmental Psychology, Neurobiology of Aging and Physiology & Behavior.

In The Last Decade

Charles L. Goodrick

47 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Charles L. Goodrick 843 446 428 420 310 48 1.8k
Charles J. Meliska 516 0.6× 265 0.6× 114 0.3× 231 0.6× 156 0.5× 56 1.7k
Sehyung Cho 474 0.6× 304 0.7× 140 0.3× 163 0.4× 218 0.7× 40 1.6k
Richard L. Sprott 471 0.6× 228 0.5× 314 0.7× 138 0.3× 131 0.4× 56 1.5k
Bernard Possidente 294 0.3× 480 1.1× 128 0.3× 217 0.5× 171 0.6× 50 1.6k
Joanne Allard 983 1.2× 226 0.5× 298 0.7× 312 0.7× 64 0.2× 33 2.2k
Takashi Kudo 850 1.0× 664 1.5× 249 0.6× 576 1.4× 75 0.2× 60 2.4k
Takahiro J. Nakamura 535 0.6× 353 0.8× 188 0.4× 330 0.8× 110 0.4× 56 1.8k
Martin Sládek 929 1.1× 439 1.0× 302 0.7× 318 0.8× 52 0.2× 61 2.1k
Dominic Landgraf 430 0.5× 180 0.4× 138 0.3× 294 0.7× 129 0.4× 32 1.3k
Marlene Cervantes 444 0.5× 247 0.6× 160 0.4× 137 0.3× 82 0.3× 27 1.3k

Countries citing papers authored by Charles L. Goodrick

Since Specialization
Citations

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

Fields of papers citing papers by Charles L. Goodrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles L. Goodrick. 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 Charles L. Goodrick. The network helps show where Charles L. Goodrick may publish in the future.

Co-authorship network of co-authors of Charles L. Goodrick

This figure shows the co-authorship network connecting the top 25 collaborators of Charles L. Goodrick. A scholar is included among the top collaborators of Charles L. Goodrick 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 Charles L. Goodrick. Charles L. Goodrick 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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2026