Olga Dubuisson

892 citations
22 papers · 628 · h-index 15

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Diabetes and associated disorders
    • Adipose Tissue and Metabolism

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • RNA modifications and cancer 2
    • Virus-based gene therapy research 9

Olga Dubuisson

21 papers receiving 617 citations

Peers

Olga Dubuisson
Comparison fields: 5 of 82
  • Genetics 215
  • Physiology 139
  • Epidemiology 132
  • Aging 6
  • Molecular Biology 191
Replace Massimiliano Corradi with:
Massimiliano Corradi Italy
Ryan Dickerson United States
Sandra Imholz Netherlands
D Kominsky United States
Satomi Hashimoto Japan
Akira Yasoshima Japan
Bai–Sui Feng China
Danielle Fernandes Durso Brazil
Siddheshvar Bhela United States
David P. Sparling United States
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Citations per field
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Massimiliano Corradi · 1×
Citations per year

Countries citing papers authored by Olga Dubuisson

Since Specialization
Citations

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

Fields of papers citing papers by Olga Dubuisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Olga Dubuisson, 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 Olga Dubuisson Line = papers co-authored together Olga Dubuisson 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 201088
2 201677
3 200856
4 201150
5 201249
6 201147
7 201745
8 201230
9 201327
10 201326
11 201224
12 201422
13 201319
14 201517
15 201616
16 202111
17 20148
18 20245
19 20165
20 20223

About Olga Dubuisson

Olga Dubuisson is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Physiology, having authored 22 papers that have together received 628 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Neurobiology and Insect Physiology Research (2 papers), Pancreatic function and diabetes (2 papers), RNA modifications and cancer (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Genetics (215 citations), Physiology (139 citations), Epidemiology (132 citations), Aging (6 citations) and Molecular Biology (191 citations). Olga Dubuisson has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Nikhil V. Dhurandhar, Vijay Hegde, Rashmi Krishnapuram, Nazar Mashtalir, Emily J. Dhurandhar, Bolormaa Vandanmagsar, Randall L. Mynatt, Jaycob D. Warfel, Vinod K. Podichetty and Frank L. Greenway. Their work appears in journals such as PLoS ONE, International Journal of Obesity, Biochimie, Nature Communications and iScience.

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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