Alexandre Prola

2.3k citations
31 papers · 1.6k · 2 hit papers · h-index 18

Impact in

Papers in

Alexandre Prola

31 papers receiving 1.5k citations

Alexandre Prola's Hit Papers

Platelets Facilitate the Wound-Healing Capability of Mesenchymal Stem Cells by Mitochondrial Transfer and Metabolic Reprogramming 2021 · 195 citations
1950+1+3Years since publication50100150200

Peers

Alexandre Prola
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 96
  • Cell Biology 251
  • Molecular Biology 845
  • Endocrine and Autonomic Systems 73
  • Rehabilitation 65
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Huiyun Liang United States
Hyun Jik Lee South Korea
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Tatsuyoshi Kono United States
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Ui Jeong Yun South Korea
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Citations per year

Countries citing papers authored by Alexandre Prola

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Prola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Perspectives on skeletal muscle stem cells
Hit paper breakdown →
2021234
2
Platelets Facilitate the Wound-Healing Capability of Mesenchymal Stem Cells by Mitochondrial Transfer and Metabolic Reprogramming
Hit paper breakdown →
2021195
3 2016187
4 2012153
5 2015103
6 201294
7 201878
8 201374
9 201569
10 201154
11 201844
12 201539
13 201539
14 202138
15 201337
16 201622
17 202020
18 201720
19 202212
20 202012

About Alexandre Prola

Alexandre Prola is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Genetics, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (4 papers), Muscle Physiology and Disorders (4 papers), Mesenchymal stem cell research (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (96 citations), Cell Biology (251 citations), Molecular Biology (845 citations), Endocrine and Autonomic Systems (73 citations) and Rehabilitation (65 citations). Alexandre Prola has collaborated with scholars based in France, Switzerland and Tunisia. Frequent co-authors include Christophe Lemaire, Arnaud Guilbert, Hassen Bacha, Frédéric Relaix, Intidhar Ben Salem, Manel Boussabbeh, Cindy Gallerne, Renée Ventura‐Clapier, Jérôme Piquereau and Anne Garnier. Their work appears in journals such as Cardiovascular Research, Nature Communications, Current Issues in Molecular Biology, Molecular Metabolism and Cell Metabolism.

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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