Richard W Simpson

27 total papers · 1.8k total citations
18 papers, 971 citations indexed

About

Richard W Simpson is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Richard W Simpson has authored 18 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Immunology. Recurrent topics in Richard W Simpson's work include Diabetes Treatment and Management (8 papers), Nuclear Receptors and Signaling (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Richard W Simpson is often cited by papers focused on Diabetes Treatment and Management (8 papers), Nuclear Receptors and Signaling (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Richard W Simpson collaborates with scholars based in Australia, Denmark and India. Richard W Simpson's co-authors include Anthony E. Dear, Robert E. Widdop, Tracey A. Gaspari, Lotte Bjerre Knudsen, Yunshan Hu, Iresha Welungoda, Hongbin Liu, Hongbin Liu, Graeme C. Smith and Jonathan E. Shaw and has published in prestigious journals such as Diabetes Care, Cell and Tissue Research and Journal of Endocrinology.

In The Last Decade

Richard W Simpson

18 papers receiving 950 citations

Author Peers

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

Author						Papers	Cites
Richard W Simpson	691	347	237	163	161	18	971
Rikke Kaae Kirk	597 0.9×	352 1.0×	348 1.5×	128 0.8×	117 0.7×	26	997
Gemma Pujadas	594 0.9×	336 1.0×	312 1.3×	72 0.4×	152 0.9×	27	1.2k
David Nathanson	607 0.9×	304 0.9×	176 0.7×	87 0.5×	105 0.7×	22	820
Yannis Sainte–Marie	397 0.6×	505 1.5×	227 1.0×	70 0.4×	306 1.9×	21	1.0k
Susan Johnson	725 1.0×	365 1.1×	299 1.3×	172 1.1×	48 0.3×	25	967
Marie L.S. Lindegaard	393 0.6×	368 1.1×	206 0.9×	173 1.1×	313 1.9×	18	1.1k
Hiromasa Goto	627 0.9×	439 1.3×	231 1.0×	100 0.6×	135 0.8×	35	1.1k
Julia Möllmann	374 0.5×	291 0.8×	192 0.8×	68 0.4×	120 0.7×	22	821
Richard D. Carr	480 0.7×	306 0.9×	381 1.6×	73 0.4×	204 1.3×	24	1.2k
A Casolaro	798 1.2×	307 0.9×	382 1.6×	74 0.5×	95 0.6×	26	1.2k

Countries citing papers authored by Richard W Simpson

Since Specialization

Citations

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

Fields of papers citing papers by Richard W Simpson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard W Simpson. 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 Richard W Simpson. The network helps show where Richard W Simpson may publish in the future.

Co-authorship network of co-authors of Richard W Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Richard W Simpson. A scholar is included among the top collaborators of Richard W Simpson 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 Richard W Simpson. Richard W Simpson 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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