Eva Hernando
- Cancer Research top 0.1%
- MicroRNA in disease regulation 32
- Cancer-related molecular mechanisms research 19
- Aging top 0.5%
- Molecular Biology top 0.2%
- Circular RNAs in diseases 18
- Melanoma and MAPK Pathways 14
- RNA Interference and Gene Delivery 12
- Protein Degradation and Inhibitors 11
- Oncology top 0.5%
- Cutaneous Melanoma Detection and Management 12
- Cancer-related Molecular Pathways 9
- Immunology top 1%
- Co-authors
- Carlos Cordon‐CardoScott W. LoweMichael T. HemannGregory J. HannonDavid MuValery KrizhanovskyLars ZenderScott Powers
- Journals
- Cancer Research (8 papers)Journal of Clinical Oncology (7 papers)Pigment Cell & Melanoma Research (5 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Eva Hernando
111 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Cancer Research 5.6k
- Aging 292
- Molecular Biology 10.6k
- Oncology 3.3k
- Immunology 2.0k
Countries citing papers authored by Eva Hernando
This map shows the geographic impact of Eva Hernando'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 Eva Hernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Hernando more than expected).
Fields of papers citing papers by Eva Hernando
This network shows the impact of papers produced by Eva Hernando. 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 Eva Hernando. The network helps show where Eva Hernando may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Hernando, 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 | 2023 | 6 | |
| 3 | 2021 | 30 | |
| 4 | 2020 | 0 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 125 | |
| 7 | 2015 | 65 | |
| 8 | 2014 | 52 | |
| 9 | 2014 | 18 | |
| 10 | 2011 | 56 | |
| 11 | 2011 | 130 | |
| 12 | 2011 | 9 | |
| 13 | 2010 | 67 | |
| 14 | 2010 | 173 | |
| 15 | 2009 | 451 | |
| 16 | 2007 | 208 | |
| 17 | 2007 | 218 | |
| 18 | 2006 | 33 | |
| 19 | 2005 | 39 | |
| 20 | 2003 | 280 |
About Eva Hernando
Eva Hernando is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 115 papers that have together received 14.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (32 papers), Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (18 papers), Melanoma and MAPK Pathways (14 papers), RNA Interference and Gene Delivery (12 papers), Cutaneous Melanoma Detection and Management (12 papers), Protein Degradation and Inhibitors (11 papers) and Cancer-related Molecular Pathways (9 papers). The work is most often cited by research in Cancer Research (5.6k citations), Aging (292 citations) and Molecular Biology (10.6k citations). Eva Hernando has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Carlos Cordon‐Cardo, Scott W. Lowe, Michael T. Hemann, Gregory J. Hannon, David Mu, Valery Krizhanovsky, Lars Zender, Scott Powers, Scott M. Hammond and Lin He. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Pigment Cell & Melanoma Research, Nature and Clinical Cancer Research.
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.