Jonathon S. Dunn

1.1k citations
10 papers · 590 indexed · h-index 9

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Neurology top 10%
    • Barrier Structure and Function Studies

Papers in

    • Chronic Kidney Disease and Diabetes 3
    • Genetic Associations and Epidemiology 3
    • Diabetes and associated disorders 2

Jonathon S. Dunn

10 papers receiving 570 citations

Peers

Jonathon S. Dunn
Comparison fields: 5 of 83
  • Nephrology 109
  • Neurology 67
  • Cellular and Molecular Neuroscience 107
  • Clinical Biochemistry 35
  • Physiology 130
Replace Qingshang Yan with:
Qingshang Yan United States
Hiroshi Asaba Japan
J. Christopher Hennings Germany
Hideomi Yamada Japan
Russell F. Husted United States
Arohan R. Subramanya United States
Martin Vollmer Germany
Roberto Buccafusca United States
Christina Ising Germany
Judith Molina United States
Jonathon S. Dunn relative to Qingshang Yan United States Qingshang Yan's profile →
Citations per field
00.5×3.2×
Qingshang Yan · 1×
Citations per year

Countries citing papers authored by Jonathon S. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathon S. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathon S. Dunn. 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 Jonathon S. Dunn. The network helps show where Jonathon S. Dunn may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201112
2 200838
3 200828
4 200839
5 200621
6 20062
7 200653
8 200572
9 200428
10 1980297

About Jonathon S. Dunn

Jonathon S. Dunn is a scholar working on Nephrology, Genetics, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 590 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Diabetes and associated disorders (2 papers), Biochemical effects in animals (2 papers), Diet, Metabolism, and Disease (2 papers), Pancreatic function and diabetes (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Nephrology (109 citations), Neurology (67 citations), Cellular and Molecular Neuroscience (107 citations), Clinical Biochemistry (35 citations) and Physiology (130 citations). Jonathon S. Dunn has collaborated with scholars based in United States, Poland and Singapore. Frequent co-authors include James H. Warram, Andrzej S. Królewski, Adam M. Smiles, Grzegorz Placha, Krzysztof Wanic, G. David Poznik, Marcus G. Pezzolesi, John Rogus, Stephen S. Rich and Bozena Krolewski. Their work appears in journals such as Diabetes, Annals of Human Genetics, Molecular Genetics and Metabolism, Kidney International and Journal of Neurology Neurosurgery & Psychiatry.

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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