Marc‐Steffen Raab
- Oncology top 5%
- Molecular Biology
- Hematology top 2%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Christopher E. RuddKartik PrasadLewis C. CantleyHartmut GoldschmidtBrian DuckworthSteven E. ShoelsonYing CaiOttmar Janßen
- Topics
- Multiple Myeloma Research and Treatments (32 papers)Protein Degradation and Inhibitors (9 papers)CAR-T cell therapy research (7 papers)
- Cited by
- HematologyOncologyImmunology
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Marc‐Steffen Raab
49 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Oncology 584
- Molecular Biology 570
- Hematology 537
- Immunology 399
- Radiology, Nuclear Medicine and Imaging 149
Countries citing papers authored by Marc‐Steffen Raab
This map shows the geographic impact of Marc‐Steffen Raab'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 Marc‐Steffen Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc‐Steffen Raab more than expected).
Fields of papers citing papers by Marc‐Steffen Raab
This network shows the impact of papers produced by Marc‐Steffen Raab. 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 Marc‐Steffen Raab. The network helps show where Marc‐Steffen Raab may publish in the future.
Co-authorship network of co-authors of Marc‐Steffen Raab
This figure shows the co-authorship network connecting the top 25 collaborators of Marc‐Steffen Raab. A scholar is included among the top collaborators of Marc‐Steffen Raab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc‐Steffen Raab. Marc‐Steffen Raab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | The pre-existing T cell landscape determines the response to bispecific T cell engagers in multiple myeloma patientsbreakdown → | 131 |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 18 | |
| 12 | 32 | |
| 13 | 1 | |
| 14 | MULTIPLE MYELOMA MANAGEMENT: OUTCOMES IN REAL-WORLD PRACTICE | 1 |
| 15 | MULTIPLE MYELOMA MANAGEMENT: PRACTICE PATTERNS ACROSS EUROPE | 3 |
| 16 | 2 | |
| 17 | 112 | |
| 18 | 40 | |
| 19 | 4 | |
| 20 | 12 |
About Marc‐Steffen Raab
Marc‐Steffen Raab is a scholar working on Hematology, Oncology and Genetics, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Protein Degradation and Inhibitors (9 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Hematology (537 citations), Oncology (584 citations) and Immunology (399 citations). Marc‐Steffen Raab has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Christopher E. Rudd, Kartik Prasad, Lewis C. Cantley, Hartmut Goldschmidt, Brian Duckworth, Steven E. Shoelson, Ying Cai, Ottmar Janßen, Rosana Kapeller and Jens Hillengaß. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.