Martin J. Procter

1.2k citations
15 papers · 883 indexed · 1 hit paper · h-index 11

Martin J. Procter

15 papers receiving 852 citations

Hit Papers

Deorphanization of a G protein-coupled receptor for oleoy...20062026201220192006100200300400500

Peers

Martin J. Procter
Comparison fields: 5 of 75
  • Molecular Biology 376
  • Endocrinology, Diabetes and Metabolism 338
  • Surgery 335
  • Pharmacology 253
  • Organic Chemistry 148
Replace Chrystelle M. Rasamison with:
Chrystelle M. Rasamison France
Marcella Petrone United Kingdom
Robert J. Chorvat United States
Lakshmipathi Pandarinathan United States
Jill M. McFadden United States
David K. O’Dell United States
Susanna M. Saario Finland
Janice C. Parker United States
William J. Zavadoski United States
Jessica P. Alexander United States
Martin J. Procter relative to Chrystelle M. Rasamison France Chrystelle M. Rasamison's profile →
Citations per field
00.5×3.7×
Chrystelle M. Rasamison · 1×
Citations per year

Countries citing papers authored by Martin J. Procter

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Procter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Procter. 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 Martin J. Procter. The network helps show where Martin J. Procter may publish in the future.

Co-authorship network of co-authors of Martin J. Procter

This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Procter. A scholar is included among the top collaborators of Martin J. Procter 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 Martin J. Procter. Martin J. Procter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 7
2 7
3 21
4 39
5 74
6 3
7
Deorphanization of a G protein-coupled receptor for oleoylethanolamide and its use in the discovery of small-molecule hypophagic agentsbreakdown →
539
8 11
9 35
10 10
11 11
12 6
13 13
14 78
15 29

About Martin J. Procter

Martin J. Procter is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism and Pharmaceutical Science, having authored 15 papers that have together received 883 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Synthetic Organic Chemistry Methods (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (338 citations), Pharmacology (253 citations) and Endocrine and Autonomic Systems (77 citations). Martin J. Procter has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Matthew C. T. Fyfe, Christine Reynet, Hilary A. Overton, Peter Widdowson, Chrystelle M. Rasamison, S. M. Doel, Helen C. Jackson, Mads Tang‐Christensen, Graeme Griffin and Philip Kocieński. Their work appears in journals such as Cell Metabolism, Nature Structural & Molecular Biology and Diabetologia.

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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