Agustin Chicas
- Molecular Biology top 2%
- Oncology top 2%
- Physiology top 2%
- Cancer Research top 2%
- Hematology top 1%
- Co-authors
- Scott W. LoweScott C. KoganXiaowo WangChristopher R. VakocMasashi NaritaJill BargonettiJessica E. BoldenPeter Valent
- Topics
- Cancer-related Molecular Pathways (10 papers)Telomeres, Telomerase, and Senescence (7 papers)Epigenetics and DNA Methylation (5 papers)
- Cited by
- AgingCancer ResearchHematology
- Partner nations
- United StatesChinaItaly
In The Last Decade
Agustin Chicas
20 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 3.4k
- Oncology 1.1k
- Physiology 990
- Cancer Research 911
- Hematology 652
Countries citing papers authored by Agustin Chicas
This map shows the geographic impact of Agustin Chicas'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 Agustin Chicas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agustin Chicas more than expected).
Fields of papers citing papers by Agustin Chicas
This network shows the impact of papers produced by Agustin Chicas. 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 Agustin Chicas. The network helps show where Agustin Chicas may publish in the future.
Co-authorship network of co-authors of Agustin Chicas
This figure shows the co-authorship network connecting the top 25 collaborators of Agustin Chicas. A scholar is included among the top collaborators of Agustin Chicas 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 Agustin Chicas. Agustin Chicas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 278 | |
| 3 | 1 | |
| 4 | Mutant p53 Disrupts Mammary Tissue Architecture via the Mevalonate Pathwaybreakdown → | 696 |
| 5 | 20 | |
| 6 | 101 | |
| 7 | 122 | |
| 8 | RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemiabreakdown → | 1438 |
| 9 | Control of the senescence-associated secretory phenotype by NF-κB promotes senescence and enhances chemosensitivitybreakdown → | 757 |
| 10 | 296 | |
| 11 | 19 | |
| 12 | 472 | |
| 13 | 21 | |
| 14 | 103 | |
| 15 | 35 | |
| 16 | 47 | |
| 17 | 49 | |
| 18 | 56 | |
| 19 | A DNA damage signal is required for p53 to activate gadd45. | 41 |
| 20 | p53 represses Sp1 DNA binding and HIV-LTR directed transcription. | 65 |
About Agustin Chicas
Agustin Chicas is a scholar working on Oncology, Physiology and Molecular Biology, having authored 20 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Telomeres, Telomerase, and Senescence (7 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Aging (132 citations), Cancer Research (911 citations) and Hematology (652 citations). Agustin Chicas has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Scott W. Lowe, Scott C. Kogan, Xiaowo Wang, Christopher R. Vakoc, Masashi Narita, Jill Bargonetti, Jessica E. Bolden, Peter Valent, Christopher Johns and Mark Wunderlich. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.