Maxime Parisotto

470 citations
18 papers · 247 · h-index 8

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • DNA Repair Mechanisms 2
    • Pluripotent Stem Cells Research 2
    • Retinoids in leukemia and cellular processes 2
    • Metabolism, Diabetes, and Cancer 2
    • Prostate Cancer Treatment and Research 3

Maxime Parisotto

16 papers receiving 245 citations

Peers

Maxime Parisotto
Comparison fields: 5 of 59
  • Cancer Research 56
  • Aging 4
  • Biochemistry 12
  • Molecular Biology 137
  • Geriatrics and Gerontology 6
Replace Stefania Pieroni with:
Stefania Pieroni Italy
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Jiantao Fu China
Brijesh Kumar United States
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Shannon M. Gallagher‐Colombo United States
Tamlyn Thomas United States
Jiawei Cao China
Zhenping Chen United States
Pavithra Shyamsunder Singapore
Maxime Parisotto relative to Stefania Pieroni Italy Stefania Pieroni's profile →
Citations per field
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Stefania Pieroni · 1×
Citations per year

Countries citing papers authored by Maxime Parisotto

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Parisotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201342
2 200940
3 202235
4 201934
5 201825
6 202124
7 202211
8 20188
9 20236
10 20216
11 20065
12 20183
13 20073
14 20223
15 20181
16 20201
17 20250
18 20180

About Maxime Parisotto

Maxime Parisotto is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Physiology, having authored 18 papers that have together received 247 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Prostate Cancer Treatment and Research (3 papers), DNA Repair Mechanisms (2 papers), Advanced Radiotherapy Techniques (2 papers), Pluripotent Stem Cells Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Cancer Research (56 citations), Aging (4 citations), Biochemistry (12 citations), Molecular Biology (137 citations) and Geriatrics and Gerontology (6 citations). Maxime Parisotto has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Daniel METZGER, Pangala V. Bhat, Sylvie Mader, Gerardo Ferbeyre, Daniela Rovito, Véronique Bourdeau, Gilles LAVERNY, Sebastian Igelmann, Marie‐Camille Rowell and Paloma Kalegari. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Scientific Reports, The Journal of Experimental Medicine, Cell Reports and Supramolecular chemistry.

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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