Simon Steiger
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
- Chemokine receptors and signaling
Papers in
- Oncology 6
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
- Chemokine receptors and signaling 2
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- Multiple Myeloma Research and Treatments 5
- Co-authors
- Karsten Rippe (7 shared papers)Niels Weinhold (6 shared papers)Hartmut Goldschmidt (6 shared papers)Carsten Müller‐Tidow (6 shared papers)Niklas Kehl (3 shared papers)Lukas Bunse (2 shared papers)Paola Neri (1 shared paper)Sungwoo Ahn (1 shared paper)
- Journals
- Blood (2 papers)Cancer Cell (1 paper)Nature Communications (1 paper)Nature Cell Biology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Simon Steiger
6 papers receiving 271 citations
Simon Steiger's Hit Papers
Peers
Comparison fields: 5 of 39
- Hematology 110
- Oncology 144
- Immunology 79
- Radiology, Nuclear Medicine and Imaging 50
- Genetics 15
Countries citing papers authored by Simon Steiger
This map shows the geographic impact of Simon Steiger'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 Simon Steiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Steiger more than expected).
Fields of papers citing papers by Simon Steiger
This network shows the impact of papers produced by Simon Steiger. 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 Simon Steiger. The network helps show where Simon Steiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Steiger, 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 | The pre-existing T cell landscape determines the response to bispecific T cell engagers in multiple myeloma patients Hit paper breakdown → | 2023 | 150 |
| 2 | 2021 | 87 | |
| 3 | 2019 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2021 | 0 |
About Simon Steiger
Simon Steiger is a scholar working on Oncology, Hematology, Immunology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 8 papers that have together received 274 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Cancer Cells and Metastasis (2 papers), 3D Printing in Biomedical Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers), Chemokine receptors and signaling (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (110 citations), Oncology (144 citations), Immunology (79 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Genetics (15 citations). Simon Steiger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Karsten Rippe, Niels Weinhold, Hartmut Goldschmidt, Carsten Müller‐Tidow, Niklas Kehl, Lukas Bunse, Paola Neri, Sungwoo Ahn, Michael Kilian and Roman Sankowski. Their work appears in journals such as Blood, Cancer Cell, Nature Communications, Nature Cell Biology and Journal for ImmunoTherapy of Cancer.
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.