Stefan Knop
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 1%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 97
- Multiple Myeloma Research and Treatments 93
- Oncology 67
- Cancer Treatment and Pharmacology 32
- Peptidase Inhibition and Analysis 13
- CAR-T cell therapy research 12
- Co-authors
- Hermann Einsele (69 shared papers)Christoph Röllig (8 shared papers)Martin Bornhäuser (3 shared papers)Constantin Lapa (16 shared papers)Andreas K. Buck (16 shared papers)Ralf C. Bargou (20 shared papers)Martin Schreder (23 shared papers)Ken Herrmann (9 shared papers)
- Journals
- Blood (32 papers)Journal of Clinical Oncology (8 papers)Annals of Hematology (6 papers)PLoS ONE (4 papers)Oncotarget (4 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Stefan Knop
149 papers receiving 4.3k citations
Stefan Knop's Hit Papers
Peers
Comparison fields: 5 of 107
- Hematology 1.8k
- Oncology 1.8k
- Radiology, Nuclear Medicine and Imaging 756
- Genetics 315
- Pathology and Forensic Medicine 487
Countries citing papers authored by Stefan Knop
This map shows the geographic impact of Stefan Knop'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 Stefan Knop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Knop more than expected).
Fields of papers citing papers by Stefan Knop
This network shows the impact of papers produced by Stefan Knop. 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 Stefan Knop. The network helps show where Stefan Knop may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Knop, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor Regression in Cancer Patients by Very Low Doses of a T Cell–Engaging Antibody Hit paper breakdown → | 2008 | 808 |
| 2 | Multiple myeloma Hit paper breakdown → | 2014 | 464 |
| 3 | 2015 | 194 | |
| 4 | 2016 | 155 | |
| 5 | 2013 | 141 | |
| 6 | 2016 | 140 | |
| 7 | 2017 | 107 | |
| 8 | 2015 | 107 | |
| 9 | 2017 | 104 | |
| 10 | 2009 | 94 | |
| 11 | 2000 | 82 | |
| 12 | 2019 | 80 | |
| 13 | 2010 | 73 | |
| 14 | 2012 | 71 | |
| 15 | 2015 | 68 | |
| 16 | 2008 | 67 | |
| 17 | 2015 | 62 | |
| 18 | 2015 | 60 | |
| 19 | 2018 | 55 | |
| 20 | 2017 | 54 |
About Stefan Knop
Stefan Knop is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 153 papers that have together received 4.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (93 papers), Cancer Treatment and Pharmacology (32 papers), Protein Degradation and Inhibitors (31 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Peptidase Inhibition and Analysis (13 papers), CAR-T cell therapy research (12 papers), Lymphoma Diagnosis and Treatment (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Hematology (1.8k citations), Oncology (1.8k citations), Radiology, Nuclear Medicine and Imaging (756 citations), Genetics (315 citations) and Pathology and Forensic Medicine (487 citations). Stefan Knop has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Hermann Einsele, Christoph Röllig, Martin Bornhäuser, Constantin Lapa, Andreas K. Buck, Ralf C. Bargou, Martin Schreder, Ken Herrmann, Katharina Lückerath and Samuel Samnick. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Hematology, PLoS ONE and Oncotarget.
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.