Robert Day

171 papers receiving 8.8k citations

Robert Day's Hit Papers

PC1 and PC2 are proprotein convertases capable of cleaving proopiomelanocortin at distinct pairs of basic residues. 1991 · 547 citations
5470+11+23Years since publication100200300400500

Peers

Robert Day
Comparison fields: 5 of 138
  • Cell Biology 1.8k
  • Endocrine and Autonomic Systems 532
  • Cellular and Molecular Neuroscience 1.4k
  • Molecular Biology 4.2k
  • Cancer Research 785
Replace Claude Lazure with:
Claude Lazure Canada
Suzanne Benjannet Canada
Michael J. Comb United States
R. Blake Pepinsky United States
Osamu Ohara Japan
Gerd Krause Germany
Jamey D. Marth United States
Richard T. Premont United States
L T Williams United States
Menachem Rubinstein Israel
Robert Day relative to Claude Lazure Canada Claude Lazure's profile →
Citations per field
00.5×3.5×
Claude Lazure · 1×
Citations per year

Countries citing papers authored by Robert Day

Since Specialization
Citations

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

Fields of papers citing papers by Robert Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Day, 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 Robert Day Line = papers co-authored together Robert Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PC1 and PC2 are proprotein convertases capable of cleaving proopiomelanocortin at distinct pairs of basic residues.
Hit paper breakdown →
1991547
2 2000408
3 1994365
4 2009229
5 1996220
6 1993219
7 1993209
8 1992188
9 1998169
10 2000162
11 2007162
12 2009153
13 1997149
14 1992130
15 1998129
16 2008118
17 1997117
18 2011117
19 1994115
20 2012112

About Robert Day

Robert Day is a scholar working on Molecular Biology, Oncology, Cell Biology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 173 papers that have together received 9.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (36 papers), Neuropeptides and Animal Physiology (29 papers), Cellular transport and secretion (27 papers), Receptor Mechanisms and Signaling (26 papers), Ubiquitin and proteasome pathways (16 papers), Advanced Proteomics Techniques and Applications (16 papers), Protease and Inhibitor Mechanisms (13 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Cell Biology (1.8k citations), Endocrine and Autonomic Systems (532 citations), Cellular and Molecular Neuroscience (1.4k citations), Molecular Biology (4.2k citations) and Cancer Research (785 citations). Robert Day has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Nabil G. Seidah, Michel Chrétien, Michel Salzet, Martin Fugère, Isabelle Fournier, Suzanne Benjannet, Roxane Desjardins, Normand Rondeau, Pierre J. Talbot and Josée Hamelin. Their work appears in journals such as Journal of Biological Chemistry, DNA and Cell Biology, Journal of Medicinal Chemistry, Endocrinology and Proceedings of the National Academy of Sciences.

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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