Pascal Maire
- Cancer Research top 1%
- Molecular Biology top 1%
- Muscle Physiology and Disorders 32
- Ubiquitin and proteasome pathways 11
- Developmental Biology and Gene Regulation 9
- RNA Research and Splicing 8
- Congenital heart defects research 7
- Genomics and Chromatin Dynamics 7
- Aging top 2%
- Genetics top 1%
- Animal Genetics and Reproduction 8
- Genetics top 2%
- Animal Genetics and Reproduction 8
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- Pancreatic function and diabetes 7
- Co-authors
- Jean‐Paul ConcordetJosiane DemignonGregg L. SemenzaAxel KahnSandra W. LeungBing‐Hua JiangAgata GiallongoRosa Passantino
- Journals
- Molecular and Cellular Biology (8 papers)Development (6 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Pascal Maire
70 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 1.4k
- Molecular Biology 4.9k
- Aging 99
- Genetics 1.3k
- Genetics 361
Countries citing papers authored by Pascal Maire
This map shows the geographic impact of Pascal Maire'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 Pascal Maire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Maire more than expected).
Fields of papers citing papers by Pascal Maire
This network shows the impact of papers produced by Pascal Maire. 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 Pascal Maire. The network helps show where Pascal Maire may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pascal Maire, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 26 | |
| 6 | 2017 | 49 | |
| 7 | 2016 | 24 | |
| 8 | 2013 | 55 | |
| 9 | 2009 | 191 | |
| 10 | 2006 | 129 | |
| 11 | 2004 | 156 | |
| 12 | 2004 | 0 | |
| 13 | 2003 | 279 | |
| 14 | 2002 | 51 | |
| 15 | 2000 | 53 | |
| 16 | 1999 | 9 | |
| 17 | 1997 | 62 | |
| 18 | 1991 | 19 | |
| 19 | Transcription of the dystrophin gene in human muscle and non-muscle tissuesbreakdown → | 1988 | 640 |
| 20 | 1987 | 64 |
About Pascal Maire
Pascal Maire is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 72 papers that have together received 6.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (32 papers), Ubiquitin and proteasome pathways (11 papers), Developmental Biology and Gene Regulation (9 papers), Animal Genetics and Reproduction (8 papers), RNA Research and Splicing (8 papers), Congenital heart defects research (7 papers), Genomics and Chromatin Dynamics (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (4.9k citations) and Aging (99 citations). Pascal Maire has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Jean‐Paul Concordet, Josiane Demignon, Gregg L. Semenza, Axel Kahn, Sandra W. Leung, Bing‐Hua Jiang, Agata Giallongo, Rosa Passantino, Christine Laclef and Sophie Gautron. Their work appears in journals such as Molecular and Cellular Biology, Development, Journal of Biological Chemistry, Developmental Biology and PLoS Genetics.
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.