Charles F. Moore

54 total papers · 1.3k total citations
40 papers, 944 citations indexed

About

Charles F. Moore is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Charles F. Moore has authored 40 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Charles F. Moore's work include Neuropeptides and Animal Physiology (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Fault Detection and Control Systems (4 papers). Charles F. Moore is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Fault Detection and Control Systems (4 papers). Charles F. Moore collaborates with scholars based in United States, India and Ukraine. Charles F. Moore's co-authors include Kenneth L. Becker, Richard H. Snider, Omega L. Silva, Michelle J. Ormseth, Howard A. Fuchs, Robert A. Goldstein, Harold L. Israel, John L. Winnacker, Donald R. Nash and Nitin Kaistha and has published in prestigious journals such as New England Journal of Medicine, Academy of Management Journal and Analytical Chemistry.

In The Last Decade

Charles F. Moore

39 papers receiving 845 citations

Author Peers

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

Author						Papers	Cites
Charles F. Moore	221	210	167	162	155	40	944
C. E. Fiore	111 0.5×	266 1.3×	199 1.2×	133 0.8×	103 0.7×	48	1.2k
P. C. Ganguli	231 1.0×	236 1.1×	87 0.5×	113 0.7×	99 0.6×	31	1.0k
Steven Pfau	165 0.7×	277 1.3×	129 0.8×	165 1.0×	52 0.3×	31	1.1k
Jean Tkaczuk	205 0.9×	169 0.8×	136 0.8×	51 0.3×	97 0.6×	48	939
Artur Bauhofer	237 1.1×	55 0.3×	192 1.1×	80 0.5×	94 0.6×	47	799
Joanna Kamińska	136 0.6×	245 1.2×	323 1.9×	51 0.3×	45 0.3×	58	1.2k
Zachary Braunstein	174 0.8×	371 1.8×	171 1.0×	136 0.8×	72 0.5×	36	1.1k
Luciano De Biase	137 0.6×	186 0.9×	67 0.4×	75 0.5×	42 0.3×	48	955
Heike Goebel	88 0.4×	183 0.9×	57 0.3×	68 0.4×	115 0.7×	29	1.0k
Michael A. Catalano	294 1.3×	194 0.9×	145 0.9×	85 0.5×	22 0.1×	45	1.0k

Countries citing papers authored by Charles F. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Charles F. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles F. Moore

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