Adolfo A. Ferrando
- Cancer Research top 0.05%
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 40
- Chronic Myeloid Leukemia Treatments 23
- Molecular Biology top 0.1%
- Cancer-related gene regulation 26
- RNA modifications and cancer 21
- Epigenetics and DNA Methylation 18
- Ubiquitin and proteasome pathways 14
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- Acute Lymphoblastic Leukemia research 67
- Oncology top 0.5%
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- Lymphoma Diagnosis and Treatment 13
- Co-authors
- James R. DowningTodd R. GolubEric A. MiskaGad GetzTyler JacksH. Robert HorvitzEzequiel Alvarez-SaavedraBenjamin L. Ebert
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Adolfo A. Ferrando
163 papers receiving 23.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 8.6k
- Hematology 4.4k
- Molecular Biology 15.8k
- Public Health, Environmental and Occupational Health 4.7k
- Oncology 3.8k
Countries citing papers authored by Adolfo A. Ferrando
This map shows the geographic impact of Adolfo A. Ferrando'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 Adolfo A. Ferrando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adolfo A. Ferrando more than expected).
Fields of papers citing papers by Adolfo A. Ferrando
This network shows the impact of papers produced by Adolfo A. Ferrando. 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 Adolfo A. Ferrando. The network helps show where Adolfo A. Ferrando may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adolfo A. Ferrando, 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 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 35 | |
| 8 | 2018 | 52 | |
| 9 | 2018 | 58 | |
| 10 | 2016 | 16 | |
| 11 | 2016 | 39 | |
| 12 | 2012 | 91 | |
| 13 | 2012 | 86 | |
| 14 | The molecular basis of T cell acute lymphoblastic leukemiabreakdown → | 2012 | 338 |
| 15 | 2010 | 69 | |
| 16 | 2010 | 50 | |
| 17 | NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growthbreakdown → | 2006 | 639 |
| 18 | Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemiabreakdown → | 2004 | 2013 |
| 19 | 2003 | 432 | |
| 20 | 1998 | 319 |
About Adolfo A. Ferrando
Adolfo A. Ferrando is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 164 papers that have together received 23.7k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (67 papers), Acute Myeloid Leukemia Research (40 papers), Cancer-related gene regulation (26 papers), Chronic Myeloid Leukemia Treatments (23 papers), RNA modifications and cancer (21 papers), Epigenetics and DNA Methylation (18 papers), Ubiquitin and proteasome pathways (14 papers) and Lymphoma Diagnosis and Treatment (13 papers). The work is most often cited by research in Cancer Research (8.6k citations), Hematology (4.4k citations) and Molecular Biology (15.8k citations). Adolfo A. Ferrando has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include James R. Downing, Todd R. Golub, Eric A. Miska, Gad Getz, Tyler Jacks, H. Robert Horvitz, Ezequiel Alvarez-Saavedra, Benjamin L. Ebert, Justin Lamb and Raymond H. Mak. Their work appears in journals such as Nature, Science and Cell.
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.