Cory D. Dunn

1.1k citations
34 papers · 768 indexed · h-index 17

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Mitochondrial Function and Pathology 23
    • RNA and protein synthesis mechanisms 12
    • ATP Synthase and ATPases Research 8
    • Photosynthetic Processes and Mechanisms 5
    • RNA Research and Splicing 5
    • Fungal and yeast genetics research 4
    • Genomics and Phylogenetic Studies 3

Cory D. Dunn

33 papers receiving 767 citations

Peers

Cory D. Dunn
Comparison fields: 5 of 78
  • Aging 35
  • Clinical Biochemistry 84
  • Molecular Biology 672
  • Cell Biology 103
  • Biochemistry 31
Replace Jesse T. Chao with:
Jesse T. Chao Canada
Justin Yamada United States
Sylvia Neumann United States
Keith Verner United States
Klaus Leonhard Germany
Boxin Xue China
Agnès H. Michel Switzerland
Barry P. Young Canada
Robert G. Abrisch United States
Jihyun Kim South Korea
Cory D. Dunn relative to Jesse T. Chao Canada Jesse T. Chao's profile →
Citations per field
00.5×1.5×2.3×
Jesse T. Chao · 1×
Citations per year

Countries citing papers authored by Cory D. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Cory D. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202416
2 20243
3 202210
4 20210
5 202127
6 20202
7 20194
8 201912
9 201910
10 20187
11 201719
12 201623
13 20165
14 201620
15 20142
16 201050
17 200732
18 200561
19 200416
20 200295

About Cory D. Dunn

Cory D. Dunn is a scholar working on Aging, Molecular Biology, Developmental Neuroscience, Endocrinology and Urology, having authored 34 papers that have together received 768 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (23 papers), RNA and protein synthesis mechanisms (12 papers), ATP Synthase and ATPases Research (8 papers), Photosynthetic Processes and Mechanisms (5 papers), RNA Research and Splicing (5 papers), Fungal and yeast genetics research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Aging (35 citations), Clinical Biochemistry (84 citations), Molecular Biology (672 citations), Cell Biology (103 citations) and Biochemistry (31 citations). Cory D. Dunn has collaborated with scholars based in United States, Türkiye and Finland. Frequent co-authors include Robert E. Jensen, Hiromi Sesaki, Görkem Garipler, Marina S. Lee, Forrest Spencer, Iva Greenwald, Abdurrahman Keskin, Adolfo A. Ferrando, Maria Luisa Sulis and Michael P. Yaffe. Their work appears in journals such as Genetics, Scientific Reports, Molecular Biology of the Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

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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