Mita Mancini
Impact in
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Muscle Physiology and Disorders
- RNA regulation and disease
- Cell Biology top 10%
Papers in
-
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Nuclear Structure and Function 2
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- Caveolin-1 and cellular processes 2
- Co-authors
- Stefano Rivella (6 shared papers)Daniela Toniolo (6 shared papers)Elena Maestrini (5 shared papers)Silvia Bione (4 shared papers)Giovanni Romeo (1 shared paper)Stefano Regis (1 shared paper)Anna Villa (3 shared papers)Paolo Vezzoni (3 shared papers)
- Journals
- Genomics (5 papers)Human Molecular Genetics (2 papers)Gene (1 paper)Nucleic Acids Research (1 paper)Nature Genetics (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Mita Mancini
11 papers receiving 941 citations
Mita Mancini's Hit Papers
Peers
Comparison fields: 5 of 56
- Molecular Biology 852
- Cell Biology 137
- Cardiology and Cardiovascular Medicine 142
- Genetics 54
- Genetics 124
Countries citing papers authored by Mita Mancini
This map shows the geographic impact of Mita Mancini'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 Mita Mancini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mita Mancini more than expected).
Fields of papers citing papers by Mita Mancini
This network shows the impact of papers produced by Mita Mancini. 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 Mita Mancini. The network helps show where Mita Mancini may publish in the future.
Co-authors
The 25 scholars most cited alongside Mita Mancini, 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 | Identification of a novel X-linked gene responsible for Emery-Dreifuss muscular dystrophy Hit paper breakdown → | 1994 | 723 |
| 2 | 1993 | 68 | |
| 3 | 1994 | 40 | |
| 4 | 1992 | 39 | |
| 5 | 2000 | 29 | |
| 6 | 1994 | 27 | |
| 7 | 2000 | 26 | |
| 8 | 1999 | 22 | |
| 9 | 1995 | 8 | |
| 10 | 1996 | 2 | |
| 11 | 1999 | 2 |
About Mita Mancini
Mita Mancini is a scholar working on Molecular Biology, Cell Biology, Genetics, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 986 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Caveolin-1 and cellular processes (2 papers), Genomics and Chromatin Dynamics (2 papers), Nuclear Structure and Function (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Molecular Biology (852 citations), Cell Biology (137 citations), Cardiology and Cardiovascular Medicine (142 citations), Genetics (54 citations) and Genetics (124 citations). Mita Mancini has collaborated with scholars based in Italy and United States. Frequent co-authors include Stefano Rivella, Daniela Toniolo, Elena Maestrini, Silvia Bione, Giovanni Romeo, Stefano Regis, Anna Villa, Paolo Vezzoni, Annamaria Fra and Elena Pasqualetto. Their work appears in journals such as Genomics, Human Molecular Genetics, Gene, Nucleic Acids Research and Nature Genetics.
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.