Clare Pacini
Impact in
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- Liver physiology and pathology
Papers in
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- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Single-cell and spatial transcriptomics 2
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Francesco Iorio (7 shared papers)Emanuel Gonçalves (4 shared papers)Mathew J. Garnett (6 shared papers)Hanna Najgebauer (2 shared papers)Emre Karakoç (2 shared papers)Julio Sáez-Rodríguez (2 shared papers)Dieudonne van der Meer (1 shared paper)Joshua M. Dempster (1 shared paper)
- Journals
- Nature Communications (3 papers)Bioinformatics (1 paper)Genome biology (1 paper)Cell Systems (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Clare Pacini
12 papers receiving 446 citations
Peers
Comparison fields: 5 of 65
- Aging 10
- Hepatology 35
- Cancer Research 63
- Molecular Biology 298
- Biophysics 21
Countries citing papers authored by Clare Pacini
This map shows the geographic impact of Clare Pacini'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 Clare Pacini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare Pacini more than expected).
Fields of papers citing papers by Clare Pacini
This network shows the impact of papers produced by Clare Pacini. 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 Clare Pacini. The network helps show where Clare Pacini may publish in the future.
Co-authors
The 25 scholars most cited alongside Clare Pacini, 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 | 2021 | 157 | |
| 2 | 2012 | 56 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 48 | |
| 5 | 2022 | 35 | |
| 6 | 2020 | 30 | |
| 7 | 2024 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2024 | 1 | |
| 13 | 2017 | 0 |
About Clare Pacini
Clare Pacini is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Epidemiology, having authored 13 papers that have together received 452 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (10 citations), Hepatology (35 citations), Cancer Research (63 citations), Molecular Biology (298 citations) and Biophysics (21 citations). Clare Pacini has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Francesco Iorio, Emanuel Gonçalves, Mathew J. Garnett, Hanna Najgebauer, Emre Karakoç, Julio Sáez-Rodríguez, Dieudonne van der Meer, Joshua M. Dempster, Andrew Barthorpe and Howard Lightfoot. Their work appears in journals such as Nature Communications, Bioinformatics, Genome biology, Cell Systems and Philosophical Transactions of the Royal Society B Biological 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.