Candido E. Rivera
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 14
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Hemoglobinopathies and Related Disorders 6
- Hematology top 1%
- Platelet Disorders and Treatments 9
- Multiple Myeloma Research and Treatments 8
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 5
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- Lymphoma Diagnosis and Treatment 9
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Ruben A. MesaNeal S. YoungSrđan VerstovšekJaroslaw P. MaciejewskiCraig B. ReederBetsy LaPlantThomas E. WitzigAyalew Tefferi
- Journals
- Blood (20 papers)British Journal of Haematology (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Candido E. Rivera
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 82
- Genetics 827
- Hematology 858
- Pathology and Forensic Medicine 392
- Immunology 282
- Oncology 361
Countries citing papers authored by Candido E. Rivera
This map shows the geographic impact of Candido E. Rivera'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 Candido E. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candido E. Rivera more than expected).
Fields of papers citing papers by Candido E. Rivera
This network shows the impact of papers produced by Candido E. Rivera. 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 Candido E. Rivera. The network helps show where Candido E. Rivera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Candido E. Rivera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 0 | |
| 10 | 2016 | 77 | |
| 11 | 2014 | 268 | |
| 12 | 2014 | 26 | |
| 13 | 2012 | 6 | |
| 14 | 2011 | 77 | |
| 15 | 2011 | 5 | |
| 16 | 2007 | 26 | |
| 17 | 2002 | 213 | |
| 18 | 2001 | 22 | |
| 19 | 2001 | 33 | |
| 20 | 2000 | 89 |
About Candido E. Rivera
Candido E. Rivera is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Platelet Disorders and Treatments (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Multiple Myeloma Research and Treatments (8 papers), Hemoglobinopathies and Related Disorders (6 papers), Acute Myeloid Leukemia Research (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Genetics (827 citations), Hematology (858 citations) and Pathology and Forensic Medicine (392 citations). Candido E. Rivera has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ruben A. Mesa, Neal S. Young, Srđan Verstovšek, Jaroslaw P. Maciejewski, Craig B. Reeder, Betsy LaPlant, Thomas E. Witzig, Ayalew Tefferi, Gloria Zalos and Arshed A. Quyyumi. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Leukemia and Transfusion.
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.