Simon Steiger
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Multiple Myeloma Research and Treatments 8
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Cancer Cells and Metastasis 2
- Co-authors
- Karsten Rippe (4 shared papers)Carsten Müller‐Tidow (3 shared papers)Niels Weinhold (3 shared papers)Hartmut Goldschmidt (3 shared papers)Paola Neri (1 shared paper)Sungwoo Ahn (1 shared paper)Marc‐Steffen Raab (2 shared papers)Elie Barakat (1 shared paper)
- Journals
- Nature Communications (3 papers)Blood (2 papers)Cancer Cell (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Science Immunology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Simon Steiger
11 papers receiving 446 citations
Simon Steiger's Hit Papers
Peers
Comparison fields: 5 of 36
- Hematology 281
- Oncology 94
- Immunology 46
- Radiology, Nuclear Medicine and Imaging 25
- Pathology and Forensic Medicine 16
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 | 210 |
| 2 | 2021 | 111 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 28 | |
| 5 | 2019 | 17 | |
| 6 | 2023 | 14 | |
| 7 | 2025 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2026 | 0 |
About Simon Steiger
Simon Steiger is a scholar working on Hematology, Oncology, Immunology, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (1 paper), Single-cell and spatial transcriptomics (1 paper), Developmental Biology and Gene Regulation (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Hematology (281 citations), Oncology (94 citations), Immunology (46 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Pathology and Forensic Medicine (16 citations). Simon Steiger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Karsten Rippe, Carsten Müller‐Tidow, Niels Weinhold, Hartmut Goldschmidt, Paola Neri, Sungwoo Ahn, Marc‐Steffen Raab, Elie Barakat, Noémie Leblay and Ranjan Maity. Their work appears in journals such as Nature Communications, Blood, Cancer Cell, Journal for ImmunoTherapy of Cancer and Science Immunology.
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.