Carleton R. Sage

47 total papers · 1.2k total citations
26 papers, 691 citations indexed

About

Carleton R. Sage is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carleton R. Sage has authored 26 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carleton R. Sage's work include Receptor Mechanisms and Signaling (9 papers), Diabetes Treatment and Management (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Carleton R. Sage is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Diabetes Treatment and Management (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Carleton R. Sage collaborates with scholars based in United States and China. Carleton R. Sage's co-authors include K Farrell, Ashley Davis, Thomas J. Stout, Robert M. Stroud, Graeme Semple, Ruoping Chen, Jeremy G. Richman, Anwar Ghuloum, Ajay N. Jain and Nigel R. A. Beeley and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

Carleton R. Sage

26 papers receiving 670 citations

Author Peers

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

Author						Papers	Cites
Carleton R. Sage	488	140	132	107	92	26	691
Dieter Kadereit	456 0.9×	48 0.3×	288 2.2×	19 0.2×	117 1.3×	18	746
Nathalie Meurice	371 0.8×	31 0.2×	107 0.8×	143 1.3×	31 0.3×	36	707
Aleksandra Velkova	512 1.0×	65 0.5×	66 0.5×	49 0.5×	18 0.2×	11	785
S.L. Gande	472 1.0×	133 0.9×	74 0.6×	56 0.5×	13 0.1×	29	714
Rubén Alvarez‐Sánchez	294 0.6×	36 0.3×	94 0.7×	53 0.5×	25 0.3×	24	727
Zhengping Ma	360 0.7×	35 0.3×	138 1.0×	46 0.4×	30 0.3×	24	626
Lidia Ciccone	473 1.0×	89 0.6×	114 0.9×	60 0.6×	27 0.3×	55	794
Efrosini Barbayianni	470 1.0×	100 0.7×	151 1.1×	34 0.3×	34 0.4×	25	657
Jae‐Wan Huh	379 0.8×	104 0.7×	49 0.4×	18 0.2×	49 0.5×	32	660
Philippe Cronet	654 1.3×	49 0.3×	25 0.2×	44 0.4×	37 0.4×	15	787

Countries citing papers authored by Carleton R. Sage

Since Specialization

Citations

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

Fields of papers citing papers by Carleton R. Sage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carleton R. Sage. 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 Carleton R. Sage. The network helps show where Carleton R. Sage may publish in the future.

Co-authorship network of co-authors of Carleton R. Sage

This figure shows the co-authorship network connecting the top 25 collaborators of Carleton R. Sage. A scholar is included among the top collaborators of Carleton R. Sage 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 Carleton R. Sage. Carleton R. Sage 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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