Patricia Legoix
- Hepatology top 5%
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 3
- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 3
- DNA Repair Mechanisms 2
- Hedgehog Signaling Pathway Studies 2
- Molecular Biology Techniques and Applications 2
- Genetics top 10%
- Oncology top 10%
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- Neurofibromatosis and Schwannoma Cases 4
- Co-authors
- Jessica Zucman‐RossiOlivier BluteauPierre Laurent‐PuigDominique FrancoJacques BelghitiGilles ThomasGeneviève MongesPaulette Bioulac‐Sage
- Partner nations
- FranceNetherlandsGermany
In The Last Decade
Patricia Legoix
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Hepatology 200
- Cancer Research 172
- Molecular Biology 755
- Genetics 102
- Oncology 248
Countries citing papers authored by Patricia Legoix
This map shows the geographic impact of Patricia Legoix'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 Patricia Legoix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Legoix more than expected).
Fields of papers citing papers by Patricia Legoix
This network shows the impact of papers produced by Patricia Legoix. 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 Patricia Legoix. The network helps show where Patricia Legoix may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patricia Legoix, 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 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2021 | 17 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 74 | |
| 7 | 2018 | 11 | |
| 8 | 2009 | 139 | |
| 9 | 2001 | 45 | |
| 10 | 2001 | 455 | |
| 11 | 2000 | 14 | |
| 12 | 1999 | 21 | |
| 13 | 1999 | 123 | |
| 14 | 1999 | 3 | |
| 15 | [Semi-automated quantitative method for detecting the loss of heterozygosity at the long arm of chromosome 4 in hepatocellular carcinoma]. | 1999 | 5 |
| 16 | 1999 | 10 | |
| 17 | 1998 | 98 | |
| 18 | 1996 | 47 |
About Patricia Legoix
Patricia Legoix is a scholar working on Neurology, Molecular Biology and Cancer Research, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (4 papers), Epigenetics and DNA Methylation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (3 papers), DNA Repair Mechanisms (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Hepatology (200 citations), Cancer Research (172 citations) and Molecular Biology (755 citations). Patricia Legoix has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Jessica Zucman‐Rossi, Olivier Bluteau, Pierre Laurent‐Puig, Dominique Franco, Jacques Belghiti, Gilles Thomas, Geneviève Monges, Paulette Bioulac‐Sage, Bernard S. López and Jean‐Marc Victor. Their work appears in journals such as Human Mutation, Nature Communications, Oncogene, Genomics and Proceedings of the National Academy of Sciences.
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.