Rafael Ríos
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
Papers in
- Hematology 29
- Multiple Myeloma Research and Treatments 28
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- Protein Degradation and Inhibitors 11
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Co-authors
- Matthew M. Ames (2 shared papers)Joel M. Reid (1 shared paper)Mary J. Kuffel (1 shared paper)J.K. Miller (1 shared paper)Juan Sáinz (7 shared papers)Manuel Jurado (6 shared papers)Juan José Lahuerta (14 shared papers)Asta Försti (1 shared paper)
- Journals
- Blood (6 papers)Cancers (3 papers)Journal of Clinical Oncology (2 papers)American Journal of Hematology (2 papers)Fertility and Sterility (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Rafael Ríos
40 papers receiving 582 citations
Peers
Comparison fields: 5 of 87
- Hematology 262
- Oncology 145
- Pharmacology 37
- Genetics 43
- Infectious Diseases 72
Countries citing papers authored by Rafael Ríos
This map shows the geographic impact of Rafael Ríos'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 Rafael Ríos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Ríos more than expected).
Fields of papers citing papers by Rafael Ríos
This network shows the impact of papers produced by Rafael Ríos. 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 Rafael Ríos. The network helps show where Rafael Ríos may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Ríos, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 107 | |
| 2 | Metabolic activation of dacarbazine by human cytochromes P450: the role of CYP1A1, CYP1A2, and CYP2E1. | 1999 | 105 |
| 3 | 2017 | 33 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2016 | 29 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 24 | |
| 9 | 2018 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 20 | |
| 12 | 2018 | 17 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2004 | 11 | |
| 16 | 2000 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2000 | 9 | |
| 20 | ダカルバジン及び血しょう代謝産物5‐(3‐ヒドロキシメチル‐3‐メチル‐1‐トリアゼノ)イミダゾール‐4‐カルボキサミド及び5‐(3‐メチル‐1‐トリアゼノ)イミダゾール‐4‐カルボキサミドを同時定量するための確証高速液体クロマトグラフィー | 2001 | 7 |
About Rafael Ríos
Rafael Ríos is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Infectious Diseases, having authored 41 papers that have together received 594 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (28 papers), Protein Degradation and Inhibitors (11 papers), Peptidase Inhibition and Analysis (9 papers), Cancer Treatment and Pharmacology (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hematology (262 citations), Oncology (145 citations), Pharmacology (37 citations), Genetics (43 citations) and Infectious Diseases (72 citations). Rafael Ríos has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Matthew M. Ames, Joel M. Reid, Mary J. Kuffel, J.K. Miller, Juan Sáinz, Manuel Jurado, Juan José Lahuerta, Asta Försti, Lourdes Vázquez and Kari Hemminki. Their work appears in journals such as Blood, Cancers, Journal of Clinical Oncology, American Journal of Hematology and Fertility and Sterility.
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.