John A. Barranger

4.0k citations
87 papers · 3.1k · h-index 33

Impact in

Papers in

    • Lysosomal Storage Disorders Research 58
    • Glycosylation and Glycoproteins Research 25
    • CRISPR and Genetic Engineering 6

John A. Barranger

87 papers receiving 2.9k citations

Peers

John A. Barranger
Comparison fields: 5 of 107
  • Physiology 1.8k
  • Cell Biology 869
  • Organic Chemistry 663
  • Molecular Biology 1.5k
  • Physiology 97
Replace Michael Cantz with:
Michael Cantz Germany
Gary J. Murray United States
Anneke Strijland Netherlands
Martin Hřebı́ček Czechia
Michel Jadot Belgium
Craig Freeman Australia
Ehud Razin Israel
A Kaplan United States
Rodney E. Infante United States
Roger Lawrence United States
John A. Barranger relative to Michael Cantz Germany Michael Cantz's profile →
Citations per field
00.5×1.5×
Michael Cantz · 1×
Citations per year

Countries citing papers authored by John A. Barranger

Since Specialization
Citations

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

Fields of papers citing papers by John A. Barranger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987273
2 1996180
3 1995168
4 1981144
5 1981141
6 1985134
7 1995118
8 198779
9 198675
10 200570
11 197866
12 198162
13 198460
14 198559
15 198457
16 197757
17 198652
18 200449
19 197249
20 198045

About John A. Barranger

John A. Barranger is a scholar working on Physiology, Molecular Biology, Organic Chemistry, Cell Biology and Rheumatology, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (58 papers), Glycosylation and Glycoproteins Research (25 papers), Carbohydrate Chemistry and Synthesis (24 papers), Cellular transport and secretion (14 papers), Pancreatic function and diabetes (7 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Virus-based gene therapy research (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Physiology (1.8k citations), Cell Biology (869 citations), Organic Chemistry (663 citations), Molecular Biology (1.5k citations) and Physiology (97 citations). John A. Barranger has collaborated with scholars based in United States, Netherlands and Portugal. Frequent co-authors include Edward I. Ginns, Roscoe O. Brady, Nancy Krett, Gary J. Murray, F S Furbish, J. M. Tager, Clifford J. Steer, Brian M. Martin, June A. Mayor and Prabhakara V. Choudary. Their work appears in journals such as European Journal of Biochemistry, Clinica Chimica Acta, Biochemical and Biophysical Research Communications, Analytical Biochemistry and Human Gene Therapy.

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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