Diego V. Clé
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- Blood disorders and treatments
- Hemoglobinopathies and Related Disorders
Papers in
-
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 2
- Oncology 7
- CAR-T cell therapy research 4
- Co-authors
- Rodrigo T. Calado (12 shared papers)Bárbara A. Santana (3 shared papers)Flávia S. Donaires (3 shared papers)Luiz Fernando Bazzo Catto (2 shared papers)Fernanda Gutierrez‐Rodrigues (3 shared papers)Fernando Chahud (1 shared paper)Neal Young (2 shared papers)Phillip Scheinberg (6 shared papers)
- Journals
- Blood (4 papers)Cytotherapy (2 papers)Haematologica (2 papers)Annals of Hematology (2 papers)HemaSphere (1 paper)
- Partner nations
- BrazilUnited StatesArgentina
In The Last Decade
Diego V. Clé
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 39
- Hematology 131
- Genetics 112
- Genetics 27
- Immunology 60
- Emergency Medicine 21
Countries citing papers authored by Diego V. Clé
This map shows the geographic impact of Diego V. Clé'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 Diego V. Clé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego V. Clé more than expected).
Fields of papers citing papers by Diego V. Clé
This network shows the impact of papers produced by Diego V. Clé. 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 Diego V. Clé. The network helps show where Diego V. Clé may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego V. Clé, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2018 | 43 | |
| 3 | 2020 | 37 | |
| 4 | 2024 | 36 | |
| 5 | 2015 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2010 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2014 | 2 |
About Diego V. Clé
Diego V. Clé is a scholar working on Hematology, Oncology, Emergency Medicine, Genetics and Physiology, having authored 25 papers that have together received 362 indexed citations. Recurring topics across this work include Blood disorders and treatments (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Telomeres, Telomerase, and Senescence (4 papers), Hematological disorders and diagnostics (4 papers), CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (2 papers), Complement system in diseases (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hematology (131 citations), Genetics (112 citations), Genetics (27 citations), Immunology (60 citations) and Emergency Medicine (21 citations). Diego V. Clé has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Rodrigo T. Calado, Bárbara A. Santana, Flávia S. Donaires, Luiz Fernando Bazzo Catto, Fernanda Gutierrez‐Rodrigues, Fernando Chahud, Neal Young, Phillip Scheinberg, Dimas Tadeu Covas and Sara Teresinha Olalla Saad. Their work appears in journals such as Blood, Cytotherapy, Haematologica, Annals of Hematology 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.