Mathieu Panel

420 citations
13 papers · 333 · h-index 9

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Signaling Pathways in Disease

Papers in

Mathieu Panel

12 papers receiving 332 citations

Peers

Mathieu Panel
Comparison fields: 5 of 68
  • Aging 19
  • Molecular Biology 207
  • Clinical Biochemistry 17
  • Physiology 61
  • Geriatrics and Gerontology 8
Replace Rudá Prestes e Albuquerque with:
Rudá Prestes e Albuquerque Brazil
Miguel Calvo‐Rubio United States
Yukiko Kanda Japan
Helen E. Collins United States
J Kienhöfer Germany
Kazuhito Tawaramoto Japan
Xuebin Wang China
Agnieszka Biala Canada
Hao Ming China
Niraj Bhatt United States
Mathieu Panel relative to Rudá Prestes e Albuquerque Brazil Rudá Prestes e Albuquerque's profile →
Citations per field
00.5×1.5×
Rudá Prestes e Albuquerque · 1×
Citations per year

Countries citing papers authored by Mathieu Panel

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Panel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018113
2 201968
3 202133
4 202224
5 201722
6 201722
7 201920
8 202010
9 20219
10 20236
11 20205
12
Targeting mitochondrial permeability as a pharmacological cardioprotective strategy.
20171
13 20230

About Mathieu Panel

Mathieu Panel is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Physiology and Developmental Neuroscience, having authored 13 papers that have together received 333 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Cardiac Ischemia and Reperfusion (4 papers), ATP Synthase and ATPases Research (3 papers), Anesthesia and Neurotoxicity Research (2 papers), Coenzyme Q10 studies and effects (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Aging (19 citations), Molecular Biology (207 citations), Clinical Biochemistry (17 citations), Physiology (61 citations) and Geriatrics and Gerontology (8 citations). Mathieu Panel has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Bijan Ghaleh, Didier Morin, Alain Lacampagne, Jérémy Fauconnier, Claire Angebault, Isaac Ruiz, Jean–Michel Pawlotsky, Abdelhakim Ahmed‐Belkacem, Jean‐François Guichou and Jennifer Rieusset. Their work appears in journals such as Basic Research in Cardiology, Scientific Reports, Journal of Pharmacology and Experimental Therapeutics, Aging Cell and Shock.

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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