Daniëlle C.H. Jacobs
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
Papers in
- Oncology 6
- HER2/EGFR in Cancer Research 5
- Cancer Treatment and Pharmacology 1
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Lukas A. Oomen (2 shared papers)Kenneth C. Anderson (2 shared papers)Michael S. van der Veer (1 shared paper)Paul W.H.I. Parren (2 shared papers)Thomas Valerius (1 shared paper)Henk M. Lokhorst (1 shared paper)Michel de Weers (2 shared papers)Tom Vink (2 shared papers)
- Journals
- Cancer Research (5 papers)Blood (2 papers)Molecular Cancer Therapeutics (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesPoland
In The Last Decade
Daniëlle C.H. Jacobs
9 papers receiving 934 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Hematology 562
- Oncology 514
- Physiology 77
- Genetics 169
- Radiology, Nuclear Medicine and Imaging 298
Countries citing papers authored by Daniëlle C.H. Jacobs
This map shows the geographic impact of Daniëlle C.H. Jacobs'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 Daniëlle C.H. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniëlle C.H. Jacobs more than expected).
Fields of papers citing papers by Daniëlle C.H. Jacobs
This network shows the impact of papers produced by Daniëlle C.H. Jacobs. 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 Daniëlle C.H. Jacobs. The network helps show where Daniëlle C.H. Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniëlle C.H. Jacobs, 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 | Daratumumab, a Novel Therapeutic Human CD38 Monoclonal Antibody, Induces Killing of Multiple Myeloma and Other Hematological Tumors Hit paper breakdown → | 2010 | 746 |
| 2 | 2015 | 141 | |
| 3 | 2003 | 46 | |
| 4 | 2009 | 9 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2014 | 1 | |
| 9 | 2020 | 1 |
About Daniëlle C.H. Jacobs
Daniëlle C.H. Jacobs is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Genetics, Hematology and Organic Chemistry, having authored 9 papers that have together received 951 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), HER2/EGFR in Cancer Research (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer Treatment and Pharmacology (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cancer Research and Treatments (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Hematology (562 citations), Oncology (514 citations), Physiology (77 citations), Genetics (169 citations) and Radiology, Nuclear Medicine and Imaging (298 citations). Daniëlle C.H. Jacobs has collaborated with scholars based in Netherlands, United States and Poland. Frequent co-authors include Lukas A. Oomen, Kenneth C. Anderson, Michael S. van der Veer, Paul W.H.I. Parren, Thomas Valerius, Henk M. Lokhorst, Michel de Weers, Tom Vink, Jerry W. Slootstra and Jan G. J. van de Winkel. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics and The Journal of 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.