Graeme Semple

65 papers receiving 1.8k citations

Peers

Graeme Semple
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 468
  • Endocrine and Autonomic Systems 188
  • Cellular and Molecular Neuroscience 398
  • Molecular Biology 989
  • Organic Chemistry 386
Replace Claus T. Christoffersen with:
Claus T. Christoffersen Denmark
Grazia Chiellini Italy
Kang Cheng United States
Christopher Volk Germany
Elisabeth Christiansen Denmark
J Saye United States
Malliga R. Iyer United States
Robert J. Chorvat United States
Amedeo Leonardi Italy
Douglas W. Harris United States
Graeme Semple relative to Claus T. Christoffersen Denmark Claus T. Christoffersen's profile →
Citations per field
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Claus T. Christoffersen · 1×
Citations per year

Countries citing papers authored by Graeme Semple

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Semple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Graeme Semple, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Graeme Semple Line = papers co-authored together Graeme Semple links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007248
2 2011161
3 2008117
4 2005108
5 200090
6 200787
7 199766
8 200665
9 199756
10 201153
11 201849
12 200744
13 200841
14 201840
15 201139
16 200336
17 201733
18 200732
19 200831
20 200831

About Graeme Semple

Graeme Semple is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Surgery and Pharmacology, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Neuropeptides and Animal Physiology (16 papers), Chemical Synthesis and Analysis (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Diabetes Treatment and Management (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (468 citations), Endocrine and Autonomic Systems (188 citations), Cellular and Molecular Neuroscience (398 citations), Molecular Biology (989 citations) and Organic Chemistry (386 citations). Graeme Semple has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include David J. Unett, Jeremy G. Richman, Robert M. Jones, Steven L. Colletti, Alan Wise, Timothy W. Lovenberg, Stefan Offermanns, Adriaan P. IJzerman, James Leonard and Zhi‐Liang Chu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron Letters, Journal of Organometallic Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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