Mathilde Garcia
Impact in
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- Mitochondrial Function and Pathology
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Fungal and yeast genetics research
- ATP Synthase and ATPases Research
- Photosynthetic Processes and Mechanisms
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 7
- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 5
- Fungal and yeast genetics research 4
- ATP Synthase and ATPases Research 2
- Single-cell and spatial transcriptomics 1
- Oncology 1
- Co-authors
- Claude Jacq (8 shared papers)Thierry Delaveau (9 shared papers)Frédéric Devaux (10 shared papers)Laurent Jourdren (3 shared papers)Stéphane Le Crom (3 shared papers)Sophie Lemoine (2 shared papers)Yann Saint-Georges-Chaumet (1 shared paper)Gaëlle Lelandais (5 shared papers)
- Journals
- PLoS ONE (2 papers)Molecular Biology of the Cell (1 paper)Scientific Reports (1 paper)Molecular Microbiology (1 paper)Gene (1 paper)
- Partner nations
- FranceBurundiUnited States
In The Last Decade
Mathilde Garcia
13 papers receiving 569 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 517
- Clinical Biochemistry 45
- Cell Biology 29
- Aging 3
- Infectious Diseases 31
Countries citing papers authored by Mathilde Garcia
This map shows the geographic impact of Mathilde Garcia'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 Mathilde Garcia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Garcia more than expected).
Fields of papers citing papers by Mathilde Garcia
This network shows the impact of papers produced by Mathilde Garcia. 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 Mathilde Garcia. The network helps show where Mathilde Garcia may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Garcia, 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 | 2008 | 187 | |
| 2 | 2006 | 74 | |
| 3 | 2006 | 62 | |
| 4 | 2005 | 49 | |
| 5 | 2010 | 48 | |
| 6 | 2010 | 29 | |
| 7 | 2015 | 27 | |
| 8 | 2014 | 25 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2007 | 13 | |
| 12 | 2010 | 11 | |
| 13 | 2016 | 8 | |
| 14 | 2023 | 0 |
About Mathilde Garcia
Mathilde Garcia is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Genetics and Spectroscopy, having authored 14 papers that have together received 573 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (5 papers), Fungal and yeast genetics research (4 papers), ATP Synthase and ATPases Research (2 papers), Single-cell and spatial transcriptomics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (517 citations), Clinical Biochemistry (45 citations), Cell Biology (29 citations), Aging (3 citations) and Infectious Diseases (31 citations). Mathilde Garcia has collaborated with scholars based in France, Burundi and United States. Frequent co-authors include Claude Jacq, Thierry Delaveau, Frédéric Devaux, Laurent Jourdren, Stéphane Le Crom, Sophie Lemoine, Yann Saint-Georges-Chaumet, Gaëlle Lelandais, Xavier Darzacq and Robert H. Singer. Their work appears in journals such as PLoS ONE, Molecular Biology of the Cell, Scientific Reports, Molecular Microbiology and Gene.
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.