Jon A. Deakin

1.9k citations
22 papers · 1.7k · h-index 20

Impact in

    • Proteoglycans and glycosaminoglycans research
  • Hepatology top 2%
    • Liver physiology and pathology

Papers in

    • Proteoglycans and glycosaminoglycans research 20
    • Glycosylation and Glycoproteins Research 13
    • Fibroblast Growth Factor Research 4

Jon A. Deakin

22 papers receiving 1.7k citations

Peers

Jon A. Deakin
Comparison fields: 5 of 89
  • Cell Biology 1.0k
  • Hepatology 313
  • Immunology and Allergy 118
  • Molecular Biology 1.1k
  • Hematology 129
Replace Vittoria Cioce with:
Vittoria Cioce United States
Frédéric Borlat Switzerland
Audie Rice United States
Hikaru Nagahara Japan
Edwina C. Lerner United States
Bruce Freimark United States
Amir Moghaddam United Kingdom
Joseph Rosenbluh United States
Elena Tanghetti Italy
Nancy A. Cochran United States
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Citations per field
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Vittoria Cioce · 1×
Citations per year

Countries citing papers authored by Jon A. Deakin

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Deakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon A. Deakin. 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 Jon A. Deakin. The network helps show where Jon A. Deakin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994292
2 1994219
3 1998138
4 1999114
5 200798
6 200782
7 200777
8 200873
9 200269
10 201068
11 199963
12 200553
13 201051
14 200850
15 200449
16 201047
17 200944
18 200338
19 201037
20 200332

About Jon A. Deakin

Jon A. Deakin is a scholar working on Cell Biology, Molecular Biology, Hepatology, Organic Chemistry and Hematology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (20 papers), Glycosylation and Glycoproteins Research (13 papers), Liver physiology and pathology (11 papers), Fibroblast Growth Factor Research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Protease and Inhibitor Mechanisms (2 papers), Platelet Disorders and Treatments (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Cell Biology (1.0k citations), Hepatology (313 citations), Immunology and Allergy (118 citations), Molecular Biology (1.1k citations) and Hematology (129 citations). Jon A. Deakin has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Malcolm Lyon, John T. Gallagher, J. T. Gallagher, J T Gallagher, Kensaku Mizuno, Takashi Nakamura, Dušan Uhrı́n, David G. Fernig, Bärbel S. Blaum and Ermanno Gherardi. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Physical Chemistry Chemical Physics, Bioorganic & Medicinal Chemistry Letters and Biochemical Society Transactions.

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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