Debra Rimmington

36 total papers · 3.2k total citations
18 papers, 993 citations indexed

About

Debra Rimmington is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Debra Rimmington has authored 18 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Endocrine and Autonomic Systems and 6 papers in Physiology. Recurrent topics in Debra Rimmington's work include Regulation of Appetite and Obesity (6 papers), Adipose Tissue and Metabolism (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). Debra Rimmington is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Adipose Tissue and Metabolism (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). Debra Rimmington collaborates with scholars based in United Kingdom, France and Spain. Debra Rimmington's co-authors include Anthony P. Coll, Stephen O’Rahilly, Giles S.H. Yeo, Brian Lam, Irène Cimino, Marcella Ma, Joseph Polex-Wolf, John A. Tadross, Rachel Larder and Roger Cox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Debra Rimmington

18 papers receiving 985 citations

Author Peers

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

Author Last Decade Papers Cites
Debra Rimmington 449 311 237 214 145 18 993
Fang Zou 195 0.4× 422 1.4× 336 1.4× 195 0.9× 107 0.7× 25 1.0k
S. Gilad 432 1.0× 282 0.9× 251 1.1× 74 0.3× 188 1.3× 18 921
Woo‐Jin Song 509 1.1× 255 0.8× 257 1.1× 155 0.7× 161 1.1× 24 1.1k
Richard A. Maki 293 0.7× 216 0.7× 77 0.3× 101 0.5× 143 1.0× 16 966
Marcella Ma 498 1.1× 109 0.4× 111 0.5× 201 0.9× 45 0.3× 22 883
Juan C. Bournat 435 1.0× 86 0.3× 473 2.0× 156 0.7× 65 0.4× 19 1.1k
Joseph A. Cioffi 237 0.5× 489 1.6× 250 1.1× 87 0.4× 318 2.2× 28 1.2k
Shigeru Okuya 290 0.6× 378 1.2× 163 0.7× 88 0.4× 127 0.9× 22 935
John A. Tadross 322 0.7× 248 0.8× 262 1.1× 88 0.4× 84 0.6× 26 882
Irène Cimino 231 0.5× 272 0.9× 153 0.6× 98 0.5× 95 0.7× 15 892

Countries citing papers authored by Debra Rimmington

Since Specialization
Citations

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

Fields of papers citing papers by Debra Rimmington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra Rimmington. 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 Debra Rimmington. The network helps show where Debra Rimmington may publish in the future.

Co-authorship network of co-authors of Debra Rimmington

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Rimmington. A scholar is included among the top collaborators of Debra Rimmington 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 Debra Rimmington. Debra Rimmington 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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