Javier Muñoz
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 84
- CAR-T cell therapy research 65
- Viral-associated cancers and disorders 8
-
- Lymphoma Diagnosis and Treatment 74
- Co-authors
- Razelle Kurzrock (12 shared papers)Filip Jankú (5 shared papers)Sattva S. Neelapu (19 shared papers)Stephen Opat (10 shared papers)Constantine S. Tam (10 shared papers)Olalekan O. Oluwole (16 shared papers)Julio C. Chávez (10 shared papers)Ellen Schlette (1 shared paper)
- Journals
- Blood (33 papers)Journal of Clinical Oncology (29 papers)Hematological Oncology (8 papers)Transplantation and Cellular Therapy (5 papers)Blood Advances (4 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Javier Muñoz
124 papers receiving 1.8k citations
Javier Muñoz's Hit Papers
Peers
Comparison fields: 5 of 68
- Genetics 545
- Pathology and Forensic Medicine 886
- Oncology 1.2k
- Immunology 333
- Hematology 154
Countries citing papers authored by Javier Muñoz
This map shows the geographic impact of Javier Muñoz'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 Javier Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Muñoz more than expected).
Fields of papers citing papers by Javier Muñoz
This network shows the impact of papers produced by Javier Muñoz. 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 Javier Muñoz. The network helps show where Javier Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Muñoz, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Axicabtagene ciloleucel as first-line therapy in high-risk large B-cell lymphoma: the phase 2 ZUMA-12 trial Hit paper breakdown → | 2022 | 186 |
| 2 | 2019 | 93 | |
| 3 | 2019 | 88 | |
| 4 | 2020 | 73 | |
| 5 | 2021 | 63 | |
| 6 | 2014 | 62 | |
| 7 | 2013 | 53 | |
| 8 | 2014 | 51 | |
| 9 | 2023 | 47 | |
| 10 | 2020 | 45 | |
| 11 | 2020 | 41 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 2012 | 36 | |
| 15 | 2023 | 35 | |
| 16 | 2021 | 35 | |
| 17 | 2014 | 31 | |
| 18 | 2024 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2013 | 28 |
About Javier Muñoz
Javier Muñoz is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Immunology and Molecular Biology, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (74 papers), CAR-T cell therapy research (65 papers), Chronic Lymphocytic Leukemia Research (47 papers), Biosimilars and Bioanalytical Methods (12 papers), Chronic Myeloid Leukemia Treatments (12 papers), Cutaneous lymphoproliferative disorders research (11 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers) and Viral-associated cancers and disorders (8 papers). The work is most often cited by research in Genetics (545 citations), Pathology and Forensic Medicine (886 citations), Oncology (1.2k citations), Immunology (333 citations) and Hematology (154 citations). Javier Muñoz has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Razelle Kurzrock, Filip Jankú, Sattva S. Neelapu, Stephen Opat, Constantine S. Tam, Olalekan O. Oluwole, Julio C. Chávez, Ellen Schlette, Sven de Vos and Philip R. Cohen. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, Transplantation and Cellular Therapy and Blood Advances.
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.