Natalie Dimier
Impact in
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- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 11
- Oncology 11
- CAR-T cell therapy research 8
- Viral-associated cancers and disorders 2
- Co-authors
- Günter Fingerle‐Rowson (3 shared papers)Laurie H. Sehn (4 shared papers)Gilles Salles (5 shared papers)Axel Hauschild (2 shared papers)Nicole Basset‐Séguin (2 shared papers)Claus Garbe (1 shared paper)Christopher D. Lao (1 shared paper)Pieternella J. Lugtenburg (3 shared papers)
- Journals
- Blood (10 papers)Pharmaceutical Statistics (2 papers)BMC Cancer (1 paper)British Journal of Haematology (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Natalie Dimier
18 papers receiving 750 citations
Peers
Comparison fields: 5 of 46
- Pathology and Forensic Medicine 347
- Genetics 184
- Dermatology 131
- Oncology 339
- Immunology 116
Countries citing papers authored by Natalie Dimier
This map shows the geographic impact of Natalie Dimier'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 Natalie Dimier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Dimier more than expected).
Fields of papers citing papers by Natalie Dimier
This network shows the impact of papers produced by Natalie Dimier. 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 Natalie Dimier. The network helps show where Natalie Dimier may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Dimier, 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 | 2017 | 285 | |
| 2 | 2016 | 233 | |
| 3 | 2017 | 54 | |
| 4 | 2021 | 52 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 0 | |
| 20 | 2022 | 0 |
About Natalie Dimier
Natalie Dimier is a scholar working on Pathology and Forensic Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 20 papers that have together received 767 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (8 papers), Biosimilars and Bioanalytical Methods (5 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (347 citations), Genetics (184 citations), Dermatology (131 citations), Oncology (339 citations) and Immunology (116 citations). Natalie Dimier has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Günter Fingerle‐Rowson, Laurie H. Sehn, Gilles Salles, Axel Hauschild, Nicole Basset‐Séguin, Claus Garbe, Christopher D. Lao, Pieternella J. Lugtenburg, Dédée F. Murrell and J. Fernando Quevedo. Their work appears in journals such as Blood, Pharmaceutical Statistics, BMC Cancer, British Journal of Haematology and Journal of Clinical Oncology.
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.