Clare Pacini

1.4k total citations
13 papers, 424 citations indexed

About

Clare Pacini is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Clare Pacini has authored 13 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Clare Pacini's work include CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Clare Pacini is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Clare Pacini collaborates with scholars based in United Kingdom, Italy and Germany. Clare Pacini's co-authors include Francesco Iorio, Emanuel Gonçalves, Mathew J. Garnett, Hanna Najgebauer, Emre Karakoç, Julio Sáez-Rodríguez, James M. McFarland, Howard Lightfoot, Dieudonne van der Meer and Aviad Tsherniak and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Clare Pacini

12 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clare Pacini United Kingdom 11 317 67 63 58 40 13 424
Hua Fan-Minogue United States 10 356 1.1× 141 2.1× 72 1.1× 14 0.2× 27 0.7× 13 536
Philip Stegmaier Germany 13 304 1.0× 70 1.0× 53 0.8× 34 0.6× 25 0.6× 21 498
Dirk Schumacher Germany 8 272 0.9× 109 1.6× 242 3.8× 34 0.6× 35 0.9× 11 492
Stephanie Dorman United States 6 173 0.5× 74 1.1× 46 0.7× 16 0.3× 24 0.6× 13 282
Hayley E. Francies United Kingdom 10 246 0.8× 128 1.9× 178 2.8× 48 0.8× 33 0.8× 17 436
Simona Frigerio Italy 11 184 0.6× 76 1.1× 156 2.5× 17 0.3× 30 0.8× 17 325
Yuki Shimizu‐Yoshida Japan 10 377 1.2× 20 0.3× 88 1.4× 11 0.2× 36 0.9× 12 486
Katharine Yu United States 9 179 0.6× 79 1.2× 73 1.2× 24 0.4× 22 0.6× 11 295
Tingting Chen China 14 341 1.1× 252 3.8× 100 1.6× 12 0.2× 36 0.9× 38 523

Countries citing papers authored by Clare Pacini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Clare Pacini

This figure shows the co-authorship network connecting the top 25 collaborators of Clare Pacini. A scholar is included among the top collaborators of Clare Pacini 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 Clare Pacini. Clare Pacini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Cai, Zhaoxiang, Clare Pacini, Susana Vinga, et al.. (2024). Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning. Nature Communications. 15(1). 10390–10390. 11 indexed citations
2.
Manipur, Ichcha, Clare Pacini, Fiona M. Behan, et al.. (2024). Benchmark Software and Data for Evaluating CRISPR-Cas9 Experimental Pipelines Through the Assessment of a Calibration Screen. The CRISPR Journal. 7(6). 355–365. 1 indexed citations
3.
Belenguer, Germán, Gianmarco Mastrogiovanni, Clare Pacini, et al.. (2022). RNF43/ZNRF3 loss predisposes to hepatocellular-carcinoma by impairing liver regeneration and altering the liver lipid metabolic ground-state. Nature Communications. 13(1). 334–334. 34 indexed citations
4.
Pacini, Clare, Joshua M. Dempster, Isabella Boyle, et al.. (2021). Integrated cross-study datasets of genetic dependencies in cancer. Nature Communications. 12(1). 1661–1661. 145 indexed citations
5.
Karakoç, Emre, et al.. (2021). CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens. BMC Genomics. 22(1). 828–828. 17 indexed citations
6.
Cordero-Espinoza, Lucía, Anna M. Dowbaj, Timo N. Kohler, et al.. (2021). Dynamic cell contacts between periportal mesenchyme and ductal epithelium act as a rheostat for liver cell proliferation. Cell stem cell. 28(11). 1907–1921.e8. 50 indexed citations
7.
Gonçalves, Emanuel, Mark Thomas, Fiona M. Behan, et al.. (2021). Minimal genome-wide human CRISPR-Cas9 library. Genome biology. 22(1). 40–40. 45 indexed citations
8.
Najgebauer, Hanna, Mi Yang, Hayley E. Francies, et al.. (2020). CELLector: Genomics-Guided Selection of Cancer In Vitro Models. Cell Systems. 10(5). 424–432.e6. 27 indexed citations
9.
Rashid, Mamunur, Clare Pacini, Alastair Droop, et al.. (2020). Analysis of CRISPR‐Cas9 screens identifies genetic dependencies in melanoma. Pigment Cell & Melanoma Research. 34(1). 122–131. 14 indexed citations
10.
Pacini, Clare, Charles R. Bradshaw, Nigel Garrett, & Magdalena J. Koziol. (2019). Characteristics and homogeneity of N6-methylation in human genomes. Scientific Reports. 9(1). 5185–5185. 13 indexed citations
11.
Pacini, Clare & Magdalena J. Koziol. (2018). Bioinformatics challenges and perspectives when studying the effect of epigenetic modifications on alternative splicing. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1748). 20170073–20170073. 12 indexed citations
12.
Pacini, Clare, James W. Ajioka, & Gos Micklem. (2017). Empirical Bayes method for reducing false discovery rates of correlation matrices with block diagonal structure. BMC Bioinformatics. 18(1). 213–213.
13.
Pacini, Clare, Francesco Iorio, Emanuel Gonçalves, et al.. (2012). DvD: An R/Cytoscape pipeline for drug repurposing using public repositories of gene expression data. Bioinformatics. 29(1). 132–134. 55 indexed citations

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.

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2026