Stéphanie Mathis
Impact in
- Equine top 5%
- Veterinary Equine Medical Research
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 11
- Acute Myeloid Leukemia Research 8
- Multiple Myeloma Research and Treatments 3
- Genetics 7
- Chronic Lymphocytic Leukemia Research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Valérie Bardet (9 shared papers)Nicolas Chapuis (7 shared papers)Donnie E. Slone (1 shared paper)Ludovic Suner (1 shared paper)Carol K. Clark (1 shared paper)Timothy M. Lynch (1 shared paper)Faith E. Hughes (1 shared paper)Michaëla Fontenay (6 shared papers)
In The Last Decade
Stéphanie Mathis
16 papers receiving 162 citations
Peers
Comparison fields: 5 of 37
- Equine 21
- Hematology 82
- Genetics 37
- Emergency Medicine 13
- Pathology and Forensic Medicine 17
Countries citing papers authored by Stéphanie Mathis
This map shows the geographic impact of Stéphanie Mathis'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 Stéphanie Mathis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Mathis more than expected).
Fields of papers citing papers by Stéphanie Mathis
This network shows the impact of papers produced by Stéphanie Mathis. 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 Stéphanie Mathis. The network helps show where Stéphanie Mathis may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphanie Mathis, 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 | 28 | |
| 2 | 2006 | 25 | |
| 3 | 2013 | 25 | |
| 4 | 2022 | 14 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2016 | 10 | |
| 9 | 2014 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2014 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2022 | 0 |
About Stéphanie Mathis
Stéphanie Mathis is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Equine, having authored 18 papers that have together received 173 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Equine (21 citations), Hematology (82 citations), Genetics (37 citations), Emergency Medicine (13 citations) and Pathology and Forensic Medicine (17 citations). Stéphanie Mathis has collaborated with scholars based in France and Austria. Frequent co-authors include Valérie Bardet, Nicolas Chapuis, Donnie E. Slone, Ludovic Suner, Carol K. Clark, Timothy M. Lynch, Faith E. Hughes, Michaëla Fontenay, Marie C. Béné and Julien Guy. Their work appears in journals such as Cytometry Part B Clinical Cytometry, British Journal of Haematology, Clinical Immunology, Journal of Clinical Investigation and Oncotarget.
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.