Roberto Hernán
Impact in
Papers in
-
- Protein Degradation and Inhibitors 3
- Genomics and Chromatin Dynamics 1
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Richard J. Gilbertson (9 shared papers)Adrian Frank (3 shared papers)Peter J. McKinnon (2 shared papers)Youngsoo Lee (2 shared papers)David W. Ellison (3 shared papers)Amar Gajjar (3 shared papers)Tom Curran (2 shared papers)Cynthia Wetmore (2 shared papers)
- Journals
- British Journal of Cancer (1 paper)European Journal of Cancer (1 paper)Journal of Clinical Oncology (1 paper)Genes Chromosomes and Cancer (1 paper)Cytotherapy (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Roberto Hernán
10 papers receiving 990 citations
Peers
Comparison fields: 5 of 52
- Genetics 551
- Neurology 193
- Molecular Biology 658
- Cancer Research 121
- Oncology 191
Countries citing papers authored by Roberto Hernán
This map shows the geographic impact of Roberto Hernán'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 Roberto Hernán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Hernán more than expected).
Fields of papers citing papers by Roberto Hernán
This network shows the impact of papers produced by Roberto Hernán. 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 Roberto Hernán. The network helps show where Roberto Hernán may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Hernán, 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 | 2004 | 214 | |
| 2 | A molecular fingerprint for medulloblastoma. | 2003 | 162 |
| 3 | ERBB2 up-regulates S100A4 and several other prometastatic genes in medulloblastoma. | 2003 | 147 |
| 4 | ERBB receptor signaling promotes ependymoma cell proliferation and represents a potential novel therapeutic target for this disease. | 2002 | 146 |
| 5 | 2001 | 134 | |
| 6 | ERBB1 is amplified and overexpressed in high-grade diffusely infiltrative pediatric brain stem glioma. | 2003 | 101 |
| 7 | 2004 | 53 | |
| 8 | 2001 | 47 | |
| 9 | 2006 | 33 | |
| 10 | 2021 | 4 |
About Roberto Hernán
Roberto Hernán is a scholar working on Molecular Biology, Genetics, Oncology, Neurology and Infectious Diseases, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Protein Degradation and Inhibitors (3 papers), Neuroblastoma Research and Treatments (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (551 citations), Neurology (193 citations), Molecular Biology (658 citations), Cancer Research (121 citations) and Oncology (191 citations). Roberto Hernán has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard J. Gilbertson, Adrian Frank, Peter J. McKinnon, Youngsoo Lee, David W. Ellison, Amar Gajjar, Tom Curran, Cynthia Wetmore, Michele Connelly and Christine Fuller. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, Journal of Clinical Oncology, Genes Chromosomes and Cancer and Cytotherapy.
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.