Raphaël Steiner
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Viral-associated cancers and disorders
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 37
- Oncology 34
- CAR-T cell therapy research 24
- Viral-associated cancers and disorders 5
- Co-authors
- Sattva S. Neelapu (36 shared papers)Sairah Ahmed (35 shared papers)Ranjit Nair (41 shared papers)Loretta J. Nastoupil (35 shared papers)Paolo Strati (27 shared papers)Jason R. Westin (32 shared papers)Michael Wang (11 shared papers)Swaminathan P. Iyer (14 shared papers)
- Journals
- Blood (19 papers)Journal of Clinical Oncology (7 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)Blood Advances (5 papers)Hematological Oncology (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Raphaël Steiner
57 papers receiving 559 citations
Peers
Comparison fields: 5 of 47
- Oncology 370
- Pathology and Forensic Medicine 206
- Neurology 107
- Transplantation 18
- Genetics 61
Countries citing papers authored by Raphaël Steiner
This map shows the geographic impact of Raphaël Steiner'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 Raphaël Steiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Steiner more than expected).
Fields of papers citing papers by Raphaël Steiner
This network shows the impact of papers produced by Raphaël Steiner. 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 Raphaël Steiner. The network helps show where Raphaël Steiner may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Steiner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2007 | 56 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 29 | |
| 5 | 2022 | 26 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2000 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2019 | 7 |
About Raphaël Steiner
Raphaël Steiner is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Neurology and Hematology, having authored 67 papers that have together received 565 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (37 papers), CAR-T cell therapy research (24 papers), Chronic Lymphocytic Leukemia Research (13 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Sarcoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (5 papers), Multiple Myeloma Research and Treatments (5 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Oncology (370 citations), Pathology and Forensic Medicine (206 citations), Neurology (107 citations), Transplantation (18 citations) and Genetics (61 citations). Raphaël Steiner has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Sattva S. Neelapu, Sairah Ahmed, Ranjit Nair, Loretta J. Nastoupil, Paolo Strati, Jason R. Westin, Michael Wang, Swaminathan P. Iyer, Chelsea C. Pinnix and Hun Ju Lee. Their work appears in journals such as Blood, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Blood Advances and Hematological 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.