Matthew P. Torres
- Molecular Biology top 5%
- Cell Biology top 5%
- Oncology
- Genetics top 10%
- Biomedical Engineering
- Co-authors
- David KimelmanJim MillerEagle Yi-Kung HuangRandall T. MoonCynthia YostKatie L. PenningtonChristoph H. BorchersAdam P. Lothrop
- Topics
- Fungal and yeast genetics research (10 papers)Ubiquitin and proteasome pathways (9 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Matthew P. Torres
51 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.0k
- Cell Biology 332
- Oncology 228
- Genetics 213
- Biomedical Engineering 168
Countries citing papers authored by Matthew P. Torres
This map shows the geographic impact of Matthew P. Torres'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 Matthew P. Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Torres more than expected).
Fields of papers citing papers by Matthew P. Torres
This network shows the impact of papers produced by Matthew P. Torres. 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 Matthew P. Torres. The network helps show where Matthew P. Torres may publish in the future.
Co-authorship network of co-authors of Matthew P. Torres
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Torres. A scholar is included among the top collaborators of Matthew P. Torres 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 Matthew P. Torres. Matthew P. Torres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 50 | |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 21 | |
| 12 | 3 | |
| 13 | 30 | |
| 14 | 34 | |
| 15 | 130 | |
| 16 | 21 | |
| 17 | 26 | |
| 18 | 8 | |
| 19 | 54 | |
| 20 | 3 |
About Matthew P. Torres
Matthew P. Torres is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (10 papers), Ubiquitin and proteasome pathways (9 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cell Biology (332 citations) and Aging (21 citations). Matthew P. Torres has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include David Kimelman, Jim Miller, Eagle Yi-Kung Huang, Randall T. Moon, Cynthia Yost, Katie L. Pennington, Christoph H. Borchers, Adam P. Lothrop, Stephen M. Fuchs and Hongjun Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.