Maite Iglesias
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Epidemiology
- Immunology
- Co-authors
- Craig D. WoodworthGregory D. PlowmanMiguel QuintanillaPilar FronteloCarlos GamalloKelly J. YuAlbert J. FornaceM. Christine Hollander
- Topics
- TGF-β signaling in diseases (5 papers)Cervical Cancer and HPV Research (4 papers)Mesenchymal stem cell research (3 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesOncogeneBiochemical and Biophysical Research Communications
- Partner nations
- SpainUnited StatesChile
In The Last Decade
Maite Iglesias
15 papers receiving 659 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 321
- Oncology 261
- Cancer Research 178
- Epidemiology 154
- Immunology 152
Countries citing papers authored by Maite Iglesias
This map shows the geographic impact of Maite Iglesias'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 Maite Iglesias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite Iglesias more than expected).
Fields of papers citing papers by Maite Iglesias
This network shows the impact of papers produced by Maite Iglesias. 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 Maite Iglesias. The network helps show where Maite Iglesias may publish in the future.
Co-authorship network of co-authors of Maite Iglesias
This figure shows the co-authorship network connecting the top 25 collaborators of Maite Iglesias. A scholar is included among the top collaborators of Maite Iglesias 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 Maite Iglesias. Maite Iglesias 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 | 6 | |
| 3 | 64 | |
| 4 | 31 | |
| 5 | 54 | |
| 6 | 65 | |
| 7 | 54 | |
| 8 | 52 | |
| 9 | 42 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 52 | |
| 13 | Transforming growth factor beta 1 supports autonomous growth of human papillomavirus-immortalized cervical keratinocytes under conditions promoting squamous differentiation. | 12 |
| 14 | Interleukin-6 and interleukin-6 soluble receptor regulate proliferation of normal, human papillomavirus-immortalized, and carcinoma-derived cervical cells in vitro. | 66 |
| 15 | 131 | |
| 16 | 13 |
About Maite Iglesias
Maite Iglesias is a scholar working on Genetics, Cancer Research and Developmental Neuroscience, having authored 16 papers that have together received 670 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Cervical Cancer and HPV Research (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cancer Research (178 citations), Oncology (261 citations) and Immunology (152 citations). Maite Iglesias has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Craig D. Woodworth, Gregory D. Plowman, Miguel Quintanilla, Pilar Frontelo, Carlos Gamallo, Kelly J. Yu, Albert J. Fornace, M. Christine Hollander, Juan F. Santibáñez and Jorge Martı́nez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and Biochemical and Biophysical Research 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.