Sara Polletti
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 5%
- Oncology top 10%
- Genetics
- Co-authors
- Gioacchino NatoliIros BarozziSerena GhislettiJiannis RagoussisFlore MiettonFrancesca De SantaChia‐Lin WeiElena Prosperini
- Topics
- Genomics and Chromatin Dynamics (7 papers)RNA Research and Splicing (6 papers)Epigenetics and DNA Methylation (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Sara Polletti
23 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.6k
- Immunology 952
- Cancer Research 548
- Oncology 274
- Genetics 138
Countries citing papers authored by Sara Polletti
This map shows the geographic impact of Sara Polletti'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 Sara Polletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Polletti more than expected).
Fields of papers citing papers by Sara Polletti
This network shows the impact of papers produced by Sara Polletti. 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 Sara Polletti. The network helps show where Sara Polletti may publish in the future.
Co-authorship network of co-authors of Sara Polletti
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Polletti. A scholar is included among the top collaborators of Sara Polletti 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 Sara Polletti. Sara Polletti 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 50 | |
| 12 | 19 | |
| 13 | 27 | |
| 14 | 28 | |
| 15 | 8 | |
| 16 | 96 | |
| 17 | 38 | |
| 18 | Latent Enhancers Activated by Stimulation in Differentiated Cellsbreakdown → | 602 |
| 19 | Identification and Characterization of Enhancers Controlling the Inflammatory Gene Expression Program in Macrophagesbreakdown → | 515 |
| 20 | A Large Fraction of Extragenic RNA Pol II Transcription Sites Overlap Enhancersbreakdown → | 666 |
About Sara Polletti
Sara Polletti is a scholar working on Immunology, Oncology and Cancer Research, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Immunology (952 citations), Cancer Research (548 citations) and Molecular Biology (1.6k citations). Sara Polletti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Gioacchino Natoli, Iros Barozzi, Serena Ghisletti, Jiannis Ragoussis, Flore Mietton, Francesca De Santa, Chia‐Lin Wei, Elena Prosperini, Heiko Müller and Betsabeh Khoramian Tusi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.