Javier Herrero
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 15
- Gene expression and cancer classification 14
- Bioinformatics and Genomic Networks 11
- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 6
-
- Cancer Genomics and Diagnostics 8
- Co-authors
- Joaquı́n DopazoAlfonso ValenciaCharles SwantonNicholas McGranahanRachel RosenthalBarry S. TaylorKathryn BealStephen Fitzgerald
- Journals
- Nucleic Acids Research (6 papers)Bioinformatics (4 papers)Genome Research (4 papers)Blood (3 papers)BMC Genomics (3 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Javier Herrero
74 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cancer Research 826
- Molecular Biology 2.8k
- Genetics 757
- Oncology 567
- Genetics 190
Countries citing papers authored by Javier Herrero
This map shows the geographic impact of Javier Herrero'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 Javier Herrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Herrero more than expected).
Fields of papers citing papers by Javier Herrero
This network shows the impact of papers produced by Javier Herrero. 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 Javier Herrero. The network helps show where Javier Herrero may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Herrero, 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 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 50 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 68 | |
| 10 | 2019 | 81 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 70 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 80 | |
| 15 | 2017 | 79 | |
| 16 | 2017 | 14 | |
| 17 | 2016 | 62 | |
| 18 | 2016 | 23 | |
| 19 | 2006 | 3 | |
| 20 | Cristianismo y modernidad | 1988 | 1 |
About Javier Herrero
Javier Herrero is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Hematology, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (14 papers), Bioinformatics and Genomic Networks (11 papers), Cancer Genomics and Diagnostics (8 papers), Chromosomal and Genetic Variations (8 papers), Genomics and Chromatin Dynamics (7 papers), Immunotherapy and Immune Responses (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (826 citations), Molecular Biology (2.8k citations), Genetics (757 citations), Oncology (567 citations) and Genetics (190 citations). Javier Herrero has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Joaquı́n Dopazo, Alfonso Valencia, Charles Swanton, Nicholas McGranahan, Rachel Rosenthal, Barry S. Taylor, Kathryn Beal, Stephen Fitzgerald, Ewan Birney and Benedict Paten. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome Research, Blood and BMC Genomics.
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.