Dean Rea

1.2k citations
31 papers · 992 · h-index 20

Impact in

    • Biochemical and biochemical processes
  • Oncology top 10%
    • Peptidase Inhibition and Analysis

Papers in

    • Signaling Pathways in Disease 5
    • Biochemical and Molecular Research 4
    • Glycosylation and Glycoproteins Research 2
    • Peptidase Inhibition and Analysis 14

Dean Rea

31 papers receiving 983 citations

Peers

Dean Rea
Comparison fields: 5 of 84
  • Biotechnology 150
  • Oncology 310
  • Cellular and Molecular Neuroscience 173
  • Biochemistry 58
  • Molecular Biology 532
Replace R.D. Seidel with:
R.D. Seidel United States
Peter A. Jekel Netherlands
Kuakarun Krusong Thailand
Eiko Tsuchiya Japan
Shigeo Aibara Japan
Vincent J. Higgins Australia
Qijun Wang China
M. Otani Japan
David J. Aceti United States
Chunhua Qiao China
Dean Rea relative to R.D. Seidel United States R.D. Seidel's profile →
Citations per field
00.5×4.5×
R.D. Seidel · 1×
Citations per year

Countries citing papers authored by Dean Rea

Since Specialization
Citations

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

Fields of papers citing papers by Dean Rea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016113
2 2015102
3 200678
4 201771
5 200452
6 200842
7 201941
8 200837
9 200736
10 201834
11 200333
12 201330
13 200230
14 201229
15 201329
16 200728
17 200227
18 201226
19 202123
20 201122

About Dean Rea

Dean Rea is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Materials Chemistry and Biochemistry, having authored 31 papers that have together received 992 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (14 papers), Neuropeptides and Animal Physiology (11 papers), Enzyme Structure and Function (8 papers), Amino Acid Enzymes and Metabolism (5 papers), Signaling Pathways in Disease (5 papers), Biochemical and Molecular Research (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Biotechnology (150 citations), Oncology (310 citations), Cellular and Molecular Neuroscience (173 citations), Biochemistry (58 citations) and Molecular Biology (532 citations). Dean Rea has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Vilmos Fülöp, Timothy D. H. Bugg, László Polgár, Zoltán Szeltner, David I. Roper, Shirin Jamshidi, Rahman Rahmanpour, Tünde Juhász, Charles R. Taylor and Xiaoyang Zhang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, ACS Chemical Biology, Journal of the American Chemical Society and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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