Yvette Bernal
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Oncology 19
- CAR-T cell therapy research 19
-
- Acute Lymphoblastic Leukemia research 8
- Co-authors
- Renier J. Brentjens (17 shared papers)Jae H. Park (13 shared papers)Michel Sadelain (17 shared papers)Xiuyan Wang (15 shared papers)Isabelle Rivière (16 shared papers)Elizabeth Halton (12 shared papers)Terence J. Purdon (8 shared papers)Kevin J. Curran (10 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (6 papers)Blood Advances (2 papers)Molecular Therapy (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesSwitzerlandPoland
In The Last Decade
Yvette Bernal
21 papers receiving 449 citations
Peers
Comparison fields: 5 of 31
- Oncology 375
- Hematology 73
- Immunology 135
- Genetics 52
- Genetics 117
Countries citing papers authored by Yvette Bernal
This map shows the geographic impact of Yvette Bernal'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 Yvette Bernal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvette Bernal more than expected).
Fields of papers citing papers by Yvette Bernal
This network shows the impact of papers produced by Yvette Bernal. 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 Yvette Bernal. The network helps show where Yvette Bernal may publish in the future.
Co-authors
The 25 scholars most cited alongside Yvette Bernal, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | 2019 | 69 | |
| 3 | 2015 | 39 | |
| 4 | 2018 | 37 | |
| 5 | 2015 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2021 | 26 | |
| 8 | 2014 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2017 | 13 | |
| 11 | 2014 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2013 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2016 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2015 | 1 |
About Yvette Bernal
Yvette Bernal is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Immunology, Genetics and Molecular Biology, having authored 22 papers that have together received 459 indexed citations. Recurring topics across this work include CAR-T cell therapy research (19 papers), Acute Lymphoblastic Leukemia research (8 papers), Biosimilars and Bioanalytical Methods (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Renal and related cancers (3 papers), RNA Interference and Gene Delivery (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Oncology (375 citations), Hematology (73 citations), Immunology (135 citations), Genetics (52 citations) and Genetics (117 citations). Yvette Bernal has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Renier J. Brentjens, Jae H. Park, Michel Sadelain, Xiuyan Wang, Isabelle Rivière, Elizabeth Halton, Terence J. Purdon, Kevin J. Curran, Craig S. Sauter and Brigitte Sénéchal. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Molecular Therapy and HemaSphere.
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.