Ruben L. Gonzalez
- Molecular Biology top 2%
- Genetics top 5%
- Biomedical Engineering top 10%
- Biophysics top 0.5%
- Electrical and Electronic Engineering
- Co-authors
- Jingyi FeiJoseph D. PuglisiSteven ChuHarold D. KimScott C. BlanchardJoachim FrankJonathan E. BronsonChris H. Wiggins
- Topics
- RNA and protein synthesis mechanisms (48 papers)RNA modifications and cancer (32 papers)RNA Research and Splicing (21 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesIndiaPhilippines
In The Last Decade
Ruben L. Gonzalez
66 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 3.3k
- Genetics 627
- Biomedical Engineering 400
- Biophysics 369
- Electrical and Electronic Engineering 309
Countries citing papers authored by Ruben L. Gonzalez
This map shows the geographic impact of Ruben L. Gonzalez'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 Ruben L. Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben L. Gonzalez more than expected).
Fields of papers citing papers by Ruben L. Gonzalez
This network shows the impact of papers produced by Ruben L. Gonzalez. 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 Ruben L. Gonzalez. The network helps show where Ruben L. Gonzalez may publish in the future.
Co-authorship network of co-authors of Ruben L. Gonzalez
This figure shows the co-authorship network connecting the top 25 collaborators of Ruben L. Gonzalez. A scholar is included among the top collaborators of Ruben L. Gonzalez 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 Ruben L. Gonzalez. Ruben L. Gonzalez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 62 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 14 | |
| 11 | 65 | |
| 12 | 95 | |
| 13 | Reconstructing kinetic pathways from single-molecule FRET experiments using Bayesian inference | 0 |
| 14 | 46 | |
| 15 | 87 | |
| 16 | 317 | |
| 17 | 60 | |
| 18 | 249 | |
| 19 | 42 | |
| 20 | 78 |
About Ruben L. Gonzalez
Ruben L. Gonzalez is a scholar working on Structural Biology, Biophysics and Molecular Biology, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (48 papers), RNA modifications and cancer (32 papers) and RNA Research and Splicing (21 papers). The work is most often cited by research in Structural Biology (186 citations), Biophysics (369 citations) and Molecular Biology (3.3k citations). Ruben L. Gonzalez has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Jingyi Fei, Joseph D. Puglisi, Steven Chu, Harold D. Kim, Scott C. Blanchard, Joachim Frank, Jonathan E. Bronson, Chris H. Wiggins, Ignacio Tinoco and Jake M. Hofman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.