Evandro D. Bezerra
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 38
- CAR-T cell therapy research 35
- Hematology 14
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- Ana Cordeiro (3 shared papers)David G. Maloney (3 shared papers)Cameron John Turtle (3 shared papers)Merav Bar (2 shared papers)Jenna M. Voutsinas (2 shared papers)Alexandre V. Vinaud Hirayama (2 shared papers)Mohamed Lotfy Sorror (1 shared paper)Qian (Vicky) Wu (1 shared paper)
- Journals
- Transplantation and Cellular Therapy (11 papers)Blood (6 papers)Blood Advances (5 papers)Leukemia (4 papers)American Journal of Hematology (3 papers)
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Evandro D. Bezerra
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Oncology 853
- Hematology 201
- Immunology 195
- Genetics 93
- Genetics 173
Countries citing papers authored by Evandro D. Bezerra
This map shows the geographic impact of Evandro D. Bezerra'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 Evandro D. Bezerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evandro D. Bezerra more than expected).
Fields of papers citing papers by Evandro D. Bezerra
This network shows the impact of papers produced by Evandro D. Bezerra. 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 Evandro D. Bezerra. The network helps show where Evandro D. Bezerra may publish in the future.
Co-authors
The 25 scholars most cited alongside Evandro D. Bezerra, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 299 | |
| 2 | 2020 | 155 | |
| 3 | 2019 | 131 | |
| 4 | 2022 | 120 | |
| 5 | 2020 | 69 | |
| 6 | 2023 | 43 | |
| 7 | 2020 | 34 | |
| 8 | 2020 | 28 | |
| 9 | 2024 | 27 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2024 | 10 |
About Evandro D. Bezerra
Evandro D. Bezerra is a scholar working on Oncology, Hematology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (35 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Acute Myeloid Leukemia Research (8 papers), Silicon Carbide Semiconductor Technologies (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). The work is most often cited by research in Oncology (853 citations), Hematology (201 citations), Immunology (195 citations), Genetics (93 citations) and Genetics (173 citations). Evandro D. Bezerra has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Ana Cordeiro, David G. Maloney, Cameron John Turtle, Merav Bar, Jenna M. Voutsinas, Alexandre V. Vinaud Hirayama, Mohamed Lotfy Sorror, Qian (Vicky) Wu, Joshua Aiden Hill and Vicky Wu. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Blood Advances, Leukemia and American Journal of Hematology.
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.