Laurent Grosse

636 citations
8 papers · 483 · 1 hit paper · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Laurent Grosse

8 papers receiving 481 citations

Laurent Grosse's Hit Papers

Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan 2020 · 333 citations
3330+2+4Years since publication100200300

Peers

Laurent Grosse
Comparison fields: 5 of 70
  • Aging 51
  • Physiology 228
  • Immunology 98
  • Endocrine and Autonomic Systems 27
  • Cancer Research 52
Replace Oriana Lo Re with:
Oriana Lo Re Czechia
Agnieszka Korzeniowska United States
Kasparas Petkevicius United Kingdom
Kuniharu Yamamoto Japan
Lianjin Jin United States
Davina A. Lewis United States
Jacqueline A. Brinkman United States
Eoin McDonnell United States
Konstantina Kyritsi United States
Laurent Grosse relative to Oriana Lo Re Czechia Oriana Lo Re's profile →
Citations per field
00.5×5.5×
Oriana Lo Re · 1×
Citations per year

Countries citing papers authored by Laurent Grosse

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Grosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan
Hit paper breakdown →
2020333
2 201339
3 201138
4 200921
5 202020
6 202317
7 201313
8 20222

About Laurent Grosse

Laurent Grosse is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Physiology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 483 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Hormonal and reproductive studies (3 papers), Prostate Cancer Treatment and Research (2 papers), Estrogen and related hormone effects (1 paper), Neonatal Health and Biochemistry (1 paper), MicroRNA in disease regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (51 citations), Physiology (228 citations), Immunology (98 citations), Endocrine and Autonomic Systems (27 citations) and Cancer Research (52 citations). Laurent Grosse has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Dmitry V. Bulavin, Alexander Emelyanov, Clément Molina, Sandra Lacas‐Gervais, Nicole Wagner, Kay‐Dietrich Wagner, Olivier Barbier, Sophie Pâquet, Alain Bélanger and Paul S. Rennie. Their work appears in journals such as Drug Metabolism Reviews, The Journal of Clinical Endocrinology & Metabolism, Cell Metabolism, Biology and Aging.

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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