Patrick Allard

3.5k citations
57 papers · 1.0k · h-index 19

Impact in

Papers in

Patrick Allard

55 papers receiving 1.0k citations

Peers

Patrick Allard
Comparison fields: 5 of 117
  • Aging 172
  • Health, Toxicology and Mutagenesis 389
  • Pollution 135
  • Cancer Research 84
  • Molecular Biology 393
Replace Keiko Kashiwagi with:
Keiko Kashiwagi Japan
Jennifer Sass United States
Alexander Suvorov United States
Yilong Miao China
Antonio Planchart United States
Ram Ramabhadran United States
Matteo Minghetti United States
Millissia Ben Maamar United States
Julie R. Rice United States
Ulla Simanainen Australia
Patrick Allard relative to Keiko Kashiwagi Japan Keiko Kashiwagi's profile →
Citations per field
00.5×2×4×5.3×
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-authors

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

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010141
2 201691
3 201365
4 201855
5 200647
6 201843
7 200941
8 201841
9 201836
10 201932
11 200531
12 200528
13 201727
14 200826
15 201925
16 200225
17 202119
18 202018
19 201518
20 202017

About Patrick Allard

Patrick Allard is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Aging, Public Health, Environmental and Occupational Health and Genetics, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Epigenetics and DNA Methylation (12 papers), Pluripotent Stem Cells Research (6 papers), Reproductive Biology and Fertility (6 papers), Genomics and Chromatin Dynamics (5 papers), Birth, Development, and Health (5 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Aging (172 citations), Health, Toxicology and Mutagenesis (389 citations), Pollution (135 citations), Cancer Research (84 citations) and Molecular Biology (393 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, Thomas B. Knudsen, Nicole Kleinstreuer, Donatello Telesca, Yichang Chen, Le Shu and Hugh J. Clarke. Their work appears in journals such as Reproductive Toxicology, Environmental Health Perspectives, Integrated Environmental Assessment and Management, eLife and Environmental and Molecular Mutagenesis.

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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