Raluca Verona
- Molecular Biology top 5%
- Oncology top 2%
- Genetics top 2%
- Hematology top 1%
- Immunology top 5%
- Co-authors
- Marisa S. BartolomeiMellissa R.W. MannJacqueline A. LeesLeisha D. NolenJeffrey M. TrimarchiRichard M. SchultzKenneth H. MobergAdam S. Doherty
- Topics
- Multiple Myeloma Research and Treatments (32 papers)Monoclonal and Polyclonal Antibodies Research (27 papers)CAR-T cell therapy research (26 papers)
- Cited by
- HematologyOncologyMolecular Biology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Raluca Verona
59 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.0k
- Oncology 1.5k
- Genetics 724
- Hematology 688
- Immunology 513
Countries citing papers authored by Raluca Verona
This map shows the geographic impact of Raluca Verona'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 Raluca Verona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raluca Verona more than expected).
Fields of papers citing papers by Raluca Verona
This network shows the impact of papers produced by Raluca Verona. 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 Raluca Verona. The network helps show where Raluca Verona may publish in the future.
Co-authorship network of co-authors of Raluca Verona
This figure shows the co-authorship network connecting the top 25 collaborators of Raluca Verona. A scholar is included among the top collaborators of Raluca Verona 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 Raluca Verona. Raluca Verona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | GPRC5D as a novel target for the treatment of multiple myeloma: a narrative reviewbreakdown → | 51 |
| 3 | 36 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 9 | |
| 9 | 117 | |
| 10 | 40 | |
| 11 | 7 | |
| 12 | 93 | |
| 13 | 135 | |
| 14 | 30 | |
| 15 | 65 | |
| 16 | 35 | |
| 17 | 145 | |
| 18 | 11 | |
| 19 | 259 | |
| 20 | 192 |
About Raluca Verona
Raluca Verona is a scholar working on Hematology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Monoclonal and Polyclonal Antibodies Research (27 papers) and CAR-T cell therapy research (26 papers). The work is most often cited by research in Hematology (688 citations), Oncology (1.5k citations) and Molecular Biology (2.0k citations). Raluca Verona has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Marisa S. Bartolomei, Mellissa R.W. Mann, Jacqueline A. Lees, Leisha D. Nolen, Jeffrey M. Trimarchi, Richard M. Schultz, Kenneth H. Moberg, Adam S. Doherty, Niels W.C.J. van de Donk and Catherine Rogers. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.