P C Dee

1.1k citations
11 papers · 849 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Chemical Synthesis and Analysis 3
    • Metabolism, Diabetes, and Cancer 2
    • Pancreatic function and diabetes 4

P C Dee

11 papers receiving 778 citations

Peers

P C Dee
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 316
  • Cellular and Molecular Neuroscience 295
  • Reproductive Medicine 83
  • Endocrine and Autonomic Systems 66
  • Molecular Biology 418
Replace Bryan D. Noe with:
Bryan D. Noe United States
Patrick Leduque France
Chia Lin Chang Taiwan
Helen M. Tu United States
Arunangsu Dey United States
Y Stefan Switzerland
Dietrich Grube Germany
Bruno Barenton France
Michael Heiber Canada
Jason O. Rahal United States
P C Dee relative to Bryan D. Noe United States Bryan D. Noe's profile →
Citations per field
00.5×
Bryan D. Noe · 1×
Citations per year

Countries citing papers authored by P C Dee

Since Specialization
Citations

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

Fields of papers citing papers by P C Dee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P C Dee. 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 P C Dee. The network helps show where P C Dee may publish in the future.

Co-authors

The 16 scholars most cited alongside P C Dee, 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 P C Dee Line = papers co-authored together P C Dee links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1982195
2 1980124
3 1982117
4 1981111
5 1983108
6 198187
7 197941
8 197626
9 198216
10 197414
11 197410

About P C Dee

P C Dee is a scholar working on Molecular Biology, Surgery, Nephrology, Cellular and Molecular Neuroscience and Epidemiology, having authored 11 papers that have together received 849 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Pancreatic function and diabetes (4 papers), Chemical Synthesis and Analysis (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Parathyroid Disorders and Treatments (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (316 citations), Cellular and Molecular Neuroscience (295 citations), Reproductive Medicine (83 citations), Endocrine and Autonomic Systems (66 citations) and Molecular Biology (418 citations). P C Dee has collaborated with scholars based in United States and Italy. Frequent co-authors include Joel F. Habener, R H Goodman, P. Kay Lund, J Jacobs, W W Chin, J F Habener, Marc Montminy, John T. Potts, Richard H. Goodman and Farahe Maloof. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Science, Metabolism and FEBS Letters.

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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