Christèle Gonneau
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Single-cell and spatial transcriptomics 4
- Pluripotent Stem Cells Research 3
- Advanced Biosensing Techniques and Applications 1
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Samir Taoudi (2 shared papers)Alexander Medvinsky (2 shared papers)Clare Blackburn (1 shared paper)Julie M. Sheridan (1 shared paper)Kate M. Moore (1 shared paper)Erin B. Taylor (1 shared paper)David A. Hills (1 shared paper)Jennifer Antonchuk (1 shared paper)
- Journals
- Nature Communications (2 papers)Cytometry Part B Clinical Cytometry (2 papers)Cytometry Part A (1 paper)The AAPS Journal (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Christèle Gonneau
7 papers receiving 318 citations
Peers
Comparison fields: 5 of 40
- Cell Biology 236
- Hematology 106
- Immunology 107
- Obstetrics and Gynecology 20
- Molecular Biology 186
Countries citing papers authored by Christèle Gonneau
This map shows the geographic impact of Christèle Gonneau'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 Christèle Gonneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christèle Gonneau more than expected).
Fields of papers citing papers by Christèle Gonneau
This network shows the impact of papers produced by Christèle Gonneau. 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 Christèle Gonneau. The network helps show where Christèle Gonneau may publish in the future.
Co-authors
The 25 scholars most cited alongside Christèle Gonneau, 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 | 219 | |
| 2 | 2016 | 64 | |
| 3 | 2020 | 16 | |
| 4 | 2021 | 15 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 |
About Christèle Gonneau
Christèle Gonneau is a scholar working on Molecular Biology, Cell Biology, Biophysics, Cancer Research and Biomedical Engineering, having authored 7 papers that have together received 319 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Pluripotent Stem Cells Research (3 papers), Zebrafish Biomedical Research Applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Cell Image Analysis Techniques (2 papers), Biosensors and Analytical Detection (1 paper), Hair Growth and Disorders (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (236 citations), Hematology (106 citations), Immunology (107 citations), Obstetrics and Gynecology (20 citations) and Molecular Biology (186 citations). Christèle Gonneau has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Samir Taoudi, Alexander Medvinsky, Clare Blackburn, Julie M. Sheridan, Kate M. Moore, Erin B. Taylor, David A. Hills, Jennifer Antonchuk, Lucia Morgado-Palacin and Stanislav Rybtsov. Their work appears in journals such as Nature Communications, Cytometry Part B Clinical Cytometry, Cytometry Part A, The AAPS Journal and Cell stem cell.
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.