Danielle Trancucci
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 14
- Multiple Myeloma Research and Treatments 14
- Chronic Myeloid Leukemia Treatments 2
- Oncology 7
- CAR-T cell therapy research 7
- Co-authors
- Tara Stephenson (13 shared papers)Niels W.C.J. van de Donk (9 shared papers)María‐Victoria Mateos (9 shared papers)Ajay K. Nooka (7 shared papers)Katherine Chastain (9 shared papers)Raluca Verona (8 shared papers)Arnob Banerjee (5 shared papers)Lotfi Benboubker (5 shared papers)
- Journals
- HemaSphere (4 papers)Journal of Clinical Oncology (4 papers)Blood (2 papers)Cancer (1 paper)Clinical Lymphoma Myeloma & Leukemia (3 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Danielle Trancucci
13 papers receiving 131 citations
Peers
Comparison fields: 5 of 25
- Hematology 89
- Oncology 96
- Radiology, Nuclear Medicine and Imaging 54
- Immunology 20
- Molecular Biology 38
Countries citing papers authored by Danielle Trancucci
This map shows the geographic impact of Danielle Trancucci'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 Danielle Trancucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Trancucci more than expected).
Fields of papers citing papers by Danielle Trancucci
This network shows the impact of papers produced by Danielle Trancucci. 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 Danielle Trancucci. The network helps show where Danielle Trancucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Trancucci, 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 | 2023 | 35 | |
| 2 | 2023 | 28 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 0 |
About Danielle Trancucci
Danielle Trancucci is a scholar working on Hematology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 14 papers that have together received 135 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), CAR-T cell therapy research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chronic Lymphocytic Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Synthesis and Biological Activity (1 paper). The work is most often cited by research in Hematology (89 citations), Oncology (96 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Immunology (20 citations) and Molecular Biology (38 citations). Danielle Trancucci has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Tara Stephenson, Niels W.C.J. van de Donk, María‐Victoria Mateos, Ajay K. Nooka, Katherine Chastain, Raluca Verona, Arnob Banerjee, Lotfi Benboubker, Alfred L. Garfall and Alfredo Perales‐Puchalt. Their work appears in journals such as HemaSphere, Journal of Clinical Oncology, Blood, Cancer and Clinical Lymphoma Myeloma & Leukemia.
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.