Yann Abraham
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
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- Single-cell and spatial transcriptomics 1
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- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Christian N. Parker (4 shared papers)Michel Paintrand (1 shared paper)Nicole Bordes (1 shared paper)Thomas Küntziger (1 shared paper)Michel Bornens (1 shared paper)Anne Paoletti (1 shared paper)Xian Zhang (2 shared papers)Claudia Agarinis (3 shared papers)
- Journals
- SLAS DISCOVERY (3 papers)Annals of the Rheumatic Diseases (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Cytometry Part B Clinical Cytometry (1 paper)Cytometry Part A (1 paper)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Yann Abraham
14 papers receiving 510 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 213
- Hematology 94
- Molecular Biology 323
- Oncology 101
- Biochemistry 22
Countries citing papers authored by Yann Abraham
This map shows the geographic impact of Yann Abraham'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 Yann Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Abraham more than expected).
Fields of papers citing papers by Yann Abraham
This network shows the impact of papers produced by Yann Abraham. 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 Yann Abraham. The network helps show where Yann Abraham may publish in the future.
Co-authors
The 25 scholars most cited alongside Yann Abraham, 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 | 2015 | 175 | |
| 2 | 2000 | 104 | |
| 3 | 2018 | 94 | |
| 4 | 2015 | 66 | |
| 5 | 2014 | 29 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 0 |
About Yann Abraham
Yann Abraham is a scholar working on Molecular Biology, Cell Biology, Immunology, Biophysics and Oncology, having authored 15 papers that have together received 513 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cell Biology (213 citations), Hematology (94 citations), Molecular Biology (323 citations), Oncology (101 citations) and Biochemistry (22 citations). Yann Abraham has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Christian N. Parker, Michel Paintrand, Nicole Bordes, Thomas Küntziger, Michel Bornens, Anne Paoletti, Xian Zhang, Claudia Agarinis, Zuzanna Makowska and Jan S. Tchorz. Their work appears in journals such as SLAS DISCOVERY, Annals of the Rheumatic Diseases, International Journal of Radiation Oncology*Biology*Physics, Cytometry Part B Clinical Cytometry and Cytometry Part A.
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.