Jaime Bald
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Multiple Myeloma Research and Treatments 7
- Oncology 6
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Torben Plesner (7 shared papers)A. Kate Sasser (8 shared papers)Niels W.C.J. van de Donk (6 shared papers)Tahamtan Ahmadi (7 shared papers)Tineke Casneuf (6 shared papers)Henk M. Lokhorst (5 shared papers)Jakub Krejcik (4 shared papers)Tuna Mutis (4 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Cancer Research (1 paper)Cytometry Part A (1 paper)
- Partner nations
- United StatesBelgiumDenmark
In The Last Decade
Jaime Bald
10 papers receiving 926 citations
Jaime Bald's Hit Papers
Peers
Comparison fields: 5 of 58
- Hematology 634
- Physiology 87
- Oncology 412
- Genetics 123
- Immunology 236
Countries citing papers authored by Jaime Bald
This map shows the geographic impact of Jaime Bald'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 Jaime Bald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Bald more than expected).
Fields of papers citing papers by Jaime Bald
This network shows the impact of papers produced by Jaime Bald. 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 Jaime Bald. The network helps show where Jaime Bald may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaime Bald, 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 depletes CD38+ immune regulatory cells, promotes T-cell expansion, and skews T-cell repertoire in multiple myeloma Hit paper breakdown → | 2016 | 673 |
| 2 | 2018 | 97 | |
| 3 | 2016 | 86 | |
| 4 | 2016 | 30 | |
| 5 | 2015 | 16 | |
| 6 | 2016 | 9 | |
| 7 | 2015 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 1974 | 7 | |
| 10 | 2015 | 2 |
About Jaime Bald
Jaime Bald is a scholar working on Hematology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Genetics, having authored 10 papers that have together received 935 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Fluorine in Organic Chemistry (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Hematology (634 citations), Physiology (87 citations), Oncology (412 citations), Genetics (123 citations) and Immunology (236 citations). Jaime Bald has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include Torben Plesner, A. Kate Sasser, Niels W.C.J. van de Donk, Tahamtan Ahmadi, Tineke Casneuf, Henk M. Lokhorst, Jakub Krejcik, Tuna Mutis, Inger S. Nijhof and Bie Verbist. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Chemistry and Laboratory Medicine (CCLM), Cancer Research and Cytometry Part A.
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.