Christopher Previti
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Genomics and Phylogenetic Studies 1
- Circular RNAs in diseases 1
- RNA Research and Splicing 1
- Advanced biosensing and bioanalysis techniques 1
-
- MicroRNA in disease regulation 4
- Co-authors
- Michael Hackenberg (2 shared papers)Pedro Carpena (2 shared papers)José Luis Tejera Oliver (2 shared papers)Pedro L. Luque‐Escamilla (2 shared papers)José Martı́nez-Aroza (1 shared paper)Oscar Harari (3 shared papers)Chirag Nepal (1 shared paper)Igor Zwir (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)BMC Genomics (2 papers)BMC Bioinformatics (2 papers)Neuro-Oncology (1 paper)Cancers (1 paper)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Christopher Previti
10 papers receiving 454 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 97
- Molecular Biology 392
- Genetics 53
- Aging 3
- Horticulture 1
Countries citing papers authored by Christopher Previti
This map shows the geographic impact of Christopher Previti'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 Christopher Previti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Previti more than expected).
Fields of papers citing papers by Christopher Previti
This network shows the impact of papers produced by Christopher Previti. 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 Christopher Previti. The network helps show where Christopher Previti may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Previti, 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 | 2014 | 133 | |
| 2 | 2006 | 129 | |
| 3 | 2019 | 58 | |
| 4 | 2010 | 39 | |
| 5 | 2013 | 35 | |
| 6 | 2013 | 33 | |
| 7 | 2009 | 30 | |
| 8 | 2011 | 5 | |
| 9 | 2007 | 1 | |
| 10 | 2007 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Christopher Previti
Christopher Previti is a scholar working on Molecular Biology, Cancer Research, Genetics, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 464 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Phylogenetic Studies (1 paper), Circular RNAs in diseases (1 paper), RNA Research and Splicing (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (97 citations), Molecular Biology (392 citations), Genetics (53 citations), Aging (3 citations) and Horticulture (1 citation). Christopher Previti has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Michael Hackenberg, Pedro Carpena, José Luis Tejera Oliver, Pedro L. Luque‐Escamilla, José Martı́nez-Aroza, Oscar Harari, Chirag Nepal, Igor Zwir, Uwe Strähle and Jochen Gehrig. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMC Bioinformatics, Neuro-Oncology and Cancers.
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.