Diego V. Clé
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
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- Mesenchymal stem cell research
- Blood disorders and treatments
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 10
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 4
- Genetics 5
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Rodrigo T. Calado (12 shared papers)Fernanda Gutierrez‐Rodrigues (6 shared papers)Flávia S. Donaires (5 shared papers)Bárbara A. Santana (4 shared papers)Neal S. Young (4 shared papers)Dimas Tadeu Covas (2 shared papers)Jarbas S. Roriz‐Filho (2 shared papers)Sachiko Kajigaya (3 shared papers)
- Journals
- Blood (5 papers)Cytotherapy (2 papers)Annals of Hematology (2 papers)Head & Neck (1 paper)HemaSphere (1 paper)
- Partner nations
- BrazilUnited StatesArgentina
In The Last Decade
Diego V. Clé
19 papers receiving 206 citations
Peers
Comparison fields: 5 of 49
- Hematology 74
- Genetics 48
- Physiology 55
- Aging 3
- Transplantation 4
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2018 | 34 | |
| 3 | 2015 | 24 | |
| 4 | 2018 | 15 | |
| 5 | 2022 | 12 | |
| 6 | 2017 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2018 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2010 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2010 | 1 |
About Diego V. Clé
Diego V. Clé is a scholar working on Hematology, Genetics, Oncology, Physiology and Genetics, having authored 22 papers that have together received 213 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Telomeres, Telomerase, and Senescence (4 papers), CAR-T cell therapy research (3 papers), Viral-associated cancers and disorders (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Transplantation: Methods and Outcomes (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Hematology (74 citations), Genetics (48 citations), Physiology (55 citations), Aging (3 citations) and Transplantation (4 citations). Diego V. Clé has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Rodrigo T. Calado, Fernanda Gutierrez‐Rodrigues, Flávia S. Donaires, Bárbara A. Santana, Neal S. Young, Dimas Tadeu Covas, Jarbas S. Roriz‐Filho, Sachiko Kajigaya, Júlio César Moriguti and Bárbara A. Santana-Lemos. Their work appears in journals such as Blood, Cytotherapy, Annals of Hematology, Head & Neck 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.