Patrick Allard

3.4k citations
52 papers · 938 indexed · h-index 18

Patrick Allard

51 papers receiving 922 citations

Peers

Patrick Allard
Comparison fields: 5 of 116
  • Aging 152
  • Health, Toxicology and Mutagenesis 355
  • Pollution 120
  • Cancer Research 86
  • Molecular Biology 385
Replace Keiko Kashiwagi with:
Keiko Kashiwagi Japan
Alexander Suvorov United States
Millissia Ben Maamar United States
Matteo Minghetti United States
Ulla Simanainen Australia
Michelle Bellingham United Kingdom
Catherine M.H. Combelles United States
Antonio Planchart United States
Kristina Pogrmic‐Majkic Serbia
Leda Mirbahai United Kingdom
Patrick Allard relative to Keiko Kashiwagi Japan Keiko Kashiwagi's profile →
Citations per field
00.5×4.2×
Keiko Kashiwagi · 1×
Citations per year

Countries citing papers authored by Patrick Allard

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 20242
4 20241
5 20231
6 20231
7 20231
8 20216
9 202110
10 20216
11 20208
12 201926
13 201838
14 201833
15 201851
16 201725
17 201687
18 2010133
19 200825
20 200645

About Patrick Allard

Patrick Allard is a scholar working on Aging, Health, Toxicology and Mutagenesis, Neuropsychology and Physiological Psychology, Molecular Biology and Pollution, having authored 52 papers that have together received 938 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Epigenetics and DNA Methylation (12 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (7 papers), Genomics and Chromatin Dynamics (6 papers), Toxic Organic Pollutants Impact (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Aging (152 citations), Health, Toxicology and Mutagenesis (355 citations), Pollution (120 citations), Cancer Research (86 citations) and Molecular Biology (385 citations). Patrick Allard has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mónica P. Colaiácovo, Clifford J. Tabin, Xia Yang, Lisa Truong, Yichang Chen, Nicole Kleinstreuer, Thomas B. Knudsen, Le Shu, Donatello Telesca and Hugh J. Clarke. Their work appears in journals such as Environmental Health Perspectives, Reproductive Toxicology, Cell Reports, Biology of Reproduction and Developmental Biology.

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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