Víctor Treviño
- Molecular Biology top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Cancer Research top 0.2%
- Oncology top 0.5%
- Immunology top 2%
- Co-authors
- Emmanuel MartínezRoel G.W. VerhaakHoon KimKosuke YoshiharaWandaliz Torres‐GarcíaDouglas A. LevinePeter W. LairdHui Shen
- Topics
- Gene expression and cancer classification (17 papers)Bioinformatics and Genomic Networks (16 papers)Cancer Genomics and Diagnostics (11 papers)
- 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
- Molecular Biology 4.7k
- Pulmonary and Respiratory Medicine 3.8k
- Cancer Research 3.0k
- Oncology 2.7k
- Immunology 1.5k
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 of co-authors of Víctor Treviño
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Treviño. A scholar is included among the top collaborators of Víctor Treviño based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Víctor Treviño. Víctor Treviño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 107 | |
| 13 | 9 | |
| 14 | 20 | |
| 15 | 35 | |
| 16 | 73 | |
| 17 | Gene expression profile analysis of cultured corneal endothelial cells in Mitogenic/Resting culture system for applications in tissue engineering. | 1 |
| 18 | Swarm Intelligence Algorithm for Feature Selection from Large-Scale Functional Genomics Datasets. | 1 |
| 19 | 153 | |
| 20 | 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) and Cancer Genomics and Diagnostics (11 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 Nature Communications, Bioinformatics and Journal of the American College of Cardiology.
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.