Simone E Salghetti
Impact in
- Virology top 5%
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
Papers in ⓘ
- Co-authors
- William P. Tansey (8 shared papers)Andreas Herbst (3 shared papers)So Young Kim (2 shared papers)Joshua G. Chenoweth (1 shared paper)Amy A. Caudy (1 shared paper)Masafumi Muratani (2 shared papers)Yaron Shav‐Tal (1 shared paper)Thomas Ried (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Oncogene (2 papers)Science (1 paper)International Journal of Cancer (1 paper)Cell (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Simone E Salghetti
11 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Virology 115
- Molecular Biology 1.6k
- Oncology 404
- Cell Biology 173
- Cancer Research 149
Countries citing papers authored by Simone E Salghetti
This map shows the geographic impact of Simone E Salghetti'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 Simone E Salghetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone E Salghetti more than expected).
Fields of papers citing papers by Simone E Salghetti
This network shows the impact of papers produced by Simone E Salghetti. 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 Simone E Salghetti. The network helps show where Simone E Salghetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone E Salghetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | From Silencing to Gene Expression Hit paper breakdown → | 2004 | 569 |
| 2 | 2003 | 425 | |
| 3 | 2001 | 308 | |
| 4 | 2000 | 224 | |
| 5 | 1995 | 92 | |
| 6 | 2005 | 73 | |
| 7 | 2008 | 53 | |
| 8 | 2004 | 41 | |
| 9 | 2002 | 37 | |
| 10 | 1999 | 25 | |
| 11 | 1991 | 11 |
About Simone E Salghetti
Simone E Salghetti is a scholar working on Virology, Oncology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related Molecular Pathways (3 papers), Genomics and Chromatin Dynamics (3 papers), HIV Research and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HIV/AIDS Research and Interventions (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Virology (115 citations), Molecular Biology (1.6k citations), Oncology (404 citations), Cell Biology (173 citations) and Cancer Research (149 citations). Simone E Salghetti has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include William P. Tansey, Andreas Herbst, So Young Kim, Joshua G. Chenoweth, Amy A. Caudy, Masafumi Muratani, Yaron Shav‐Tal, Thomas Ried, Ravi Sachidanandam and Kannanganattu V. Prasanth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene, Science, International Journal of Cancer 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.