Carlos Bais
- Molecular Biology top 5%
- Oncology top 1%
- Immunology top 2%
- Cancer Research top 2%
- Epidemiology top 5%
- Co-authors
- Enrique A. MesriJ. Silvio GutkindNapoleone FerraraJenny YaoEthel CesarmanLeandros ArvanitakisXiumin WuOmar A. Coso
- Topics
- Viral-associated cancers and disorders (6 papers)Cancer Genomics and Diagnostics (6 papers)Cancer, Hypoxia, and Metabolism (5 papers)
- Cited by
- AgingOncologyCancer Research
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Carlos Bais
37 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.9k
- Oncology 1.9k
- Immunology 1.0k
- Cancer Research 967
- Epidemiology 603
Countries citing papers authored by Carlos Bais
This map shows the geographic impact of Carlos Bais'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 Carlos Bais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Bais more than expected).
Fields of papers citing papers by Carlos Bais
This network shows the impact of papers produced by Carlos Bais. 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 Carlos Bais. The network helps show where Carlos Bais may publish in the future.
Co-authorship network of co-authors of Carlos Bais
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Bais. A scholar is included among the top collaborators of Carlos Bais 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 Carlos Bais. Carlos Bais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 139 | |
| 6 | 3 | |
| 7 | 92 | |
| 8 | 86 | |
| 9 | 208 | |
| 10 | 21 | |
| 11 | 414 | |
| 12 | 60 | |
| 13 | 403 | |
| 14 | 81 | |
| 15 | 214 | |
| 16 | 194 | |
| 17 | The Kaposi's sarcoma-associated herpes virus G protein-coupled receptor up-regulates vascular endothelial growth factor expression and secretion through mitogen-activated protein kinase and p38 pathways acting on hypoxia-inducible factor 1alpha. | 373 |
| 18 | 27 | |
| 19 | 66 | |
| 20 | G-protein-coupled receptor of Kaposi's sarcoma-associated herpesvirus is a viral oncogene and angiogenesis activatorbreakdown → | 677 |
About Carlos Bais
Carlos Bais is a scholar working on Cancer Research, Oncology and Aging, having authored 38 papers that have together received 4.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Aging (126 citations), Oncology (1.9k citations) and Cancer Research (967 citations). Carlos Bais has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Enrique A. Mesri, J. Silvio Gutkind, Napoleone Ferrara, Jenny Yao, Ethel Cesarman, Leandros Arvanitakis, Xiumin Wu, Omar A. Coso, Iva Greenwald and Adam S. Asch. Their work appears in journals such as Nature, Science and Cell.
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.