Carolina Arias
- Molecular Biology top 10%
- Epidemiology top 5%
- Cell Biology top 2%
- Infectious Diseases top 5%
- Oncology top 10%
- Co-authors
- Diego Acosta‐AlvearNathan H. LentsYiming ZhouAlexandre BlaisBrian David DynlachtMary TsikitisYuval KlugerIan Mohr
- Topics
- Herpesvirus Infections and Treatments (6 papers)Endoplasmic Reticulum Stress and Disease (5 papers)Cytomegalovirus and herpesvirus research (5 papers)
- Cited by
- Cell BiologyInfectious DiseasesAging
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Carolina Arias
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 962
- Epidemiology 663
- Cell Biology 595
- Infectious Diseases 391
- Oncology 288
Countries citing papers authored by Carolina Arias
This map shows the geographic impact of Carolina Arias'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 Carolina Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Arias more than expected).
Fields of papers citing papers by Carolina Arias
This network shows the impact of papers produced by Carolina Arias. 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 Carolina Arias. The network helps show where Carolina Arias may publish in the future.
Co-authorship network of co-authors of Carolina Arias
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Arias. A scholar is included among the top collaborators of Carolina Arias 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 Carolina Arias. Carolina Arias 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 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | A Tweets Classifier based on Cosine Similarity. | 6 |
| 10 | 0 | |
| 11 | Zika virus cell tropism in the developing human brain and inhibition by azithromycinbreakdown → | 365 |
| 12 | 3 | |
| 13 | 145 | |
| 14 | 233 | |
| 15 | 37 | |
| 16 | 76 | |
| 17 | 25 | |
| 18 | 29 | |
| 19 | 58 | |
| 20 | XBP1 Controls Diverse Cell Type- and Condition-Specific Transcriptional Regulatory Networksbreakdown → | 665 |
About Carolina Arias
Carolina Arias is a scholar working on Structural Biology, Cell Biology and Biophysics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Cell Biology (595 citations), Infectious Diseases (391 citations) and Aging (35 citations). Carolina Arias has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Diego Acosta‐Alvear, Nathan H. Lents, Yiming Zhou, Alexandre Blais, Brian David Dynlacht, Mary Tsikitis, Yuval Kluger, Ian Mohr, Joseph L. DeRisi and Matthew A. Mulvey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.
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.