Víctor Treviño
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 11
- MicroRNA in disease regulation 6
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 0.5%
- Immunology top 2%
- Molecular Biology top 1%
- Gene expression and cancer classification 17
- Bioinformatics and Genomic Networks 16
- Gene Regulatory Network Analysis 6
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- Dementia and Cognitive Impairment Research 7
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- Cervical Cancer and HPV Research 5
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- AI in cancer detection 5
- Co-authors
- Emmanuel MartínezRoel G.W. VerhaakHoon KimKosuke YoshiharaWandaliz Torres‐GarcíaDouglas A. LevinePeter W. LairdHui Shen
- Partner nations
- MexicoUnited StatesUnited Kingdom
In The Last Decade
Víctor Treviño
106 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 3.0k
- Pulmonary and Respiratory Medicine 3.8k
- Oncology 2.7k
- Immunology 1.5k
- Molecular Biology 4.7k
Countries citing papers authored by Víctor Treviño
This map shows the geographic impact of Víctor Treviño'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 Víctor Treviño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Treviño more than expected).
Fields of papers citing papers by Víctor Treviño
This network shows the impact of papers produced by Víctor Treviño. 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 Víctor Treviño. The network helps show where Víctor Treviño may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Víctor Treviño, 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 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 1 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 107 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 20 | |
| 15 | 2016 | 35 | |
| 16 | 2015 | 73 | |
| 17 | Gene expression profile analysis of cultured corneal endothelial cells in Mitogenic/Resting culture system for applications in tissue engineering. | 2014 | 1 |
| 18 | Swarm Intelligence Algorithm for Feature Selection from Large-Scale Functional Genomics Datasets. | 2009 | 1 |
| 19 | 2007 | 153 | |
| 20 | 2006 | 72 |
About Víctor Treviño
Víctor Treviño is a scholar working on Cancer Research, Molecular Biology and Equine, having authored 110 papers that have together received 8.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Bioinformatics and Genomic Networks (16 papers), Cancer Genomics and Diagnostics (11 papers), Dementia and Cognitive Impairment Research (7 papers), MicroRNA in disease regulation (6 papers), Gene Regulatory Network Analysis (6 papers), Cervical Cancer and HPV Research (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Cancer Research (3.0k citations), Pulmonary and Respiratory Medicine (3.8k citations) and Oncology (2.7k citations). Víctor Treviño has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Emmanuel Martínez, Roel G.W. Verhaak, Hoon Kim, Kosuke Yoshihara, Wandaliz Torres‐García, Douglas A. Levine, Peter W. Laird, Hui Shen, Rahulsimham Vegesna and Gordon B. Mills. Their work appears in journals such as PLoS ONE, Bioinformatics, Osteoarthritis and Cartilage, Scientific Reports and Cancers.
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.