Lorane Texari
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Nuclear Structure and Function 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- RNA and protein synthesis mechanisms 1
- Genetics 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Christopher Benner (2 shared papers)Sven Heinz (2 shared papers)Ivan Marazzi (1 shared paper)Kris M. White (1 shared paper)Alexander Rialdi (1 shared paper)Adolfo Garcı́a-Sastre (1 shared paper)Michael G.B. Hayes (1 shared paper)Randy A. Albrecht (1 shared paper)
- Journals
- GeroScience (1 paper)Molecular Cell (1 paper)Cell (1 paper)Journal of Nutrition (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Lorane Texari
7 papers receiving 396 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 345
- Cancer Research 40
- Immunology 49
- Plant Science 76
- Virology 5
Countries citing papers authored by Lorane Texari
This map shows the geographic impact of Lorane Texari'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 Lorane Texari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorane Texari more than expected).
Fields of papers citing papers by Lorane Texari
This network shows the impact of papers produced by Lorane Texari. 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 Lorane Texari. The network helps show where Lorane Texari may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorane Texari, 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 | 2018 | 281 | |
| 2 | 2013 | 62 | |
| 3 | 2014 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 6 | |
| 7 | 2024 | 1 |
About Lorane Texari
Lorane Texari is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Physiology, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Nuclear Structure and Function (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Ubiquitin and proteasome pathways (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (345 citations), Cancer Research (40 citations), Immunology (49 citations), Plant Science (76 citations) and Virology (5 citations). Lorane Texari has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Christopher Benner, Sven Heinz, Ivan Marazzi, Kris M. White, Alexander Rialdi, Adolfo Garcı́a-Sastre, Michael G.B. Hayes, Randy A. Albrecht, Lars Pache and Max W. Chang. Their work appears in journals such as GeroScience, Molecular Cell, Cell, Journal of Nutrition and BMC Bioinformatics.
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.