Quin F. Wills

3.8k total citations · 2 hit papers
18 papers, 2.1k citations indexed

About

Quin F. Wills is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Quin F. Wills has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Quin F. Wills's work include Single-cell and spatial transcriptomics (9 papers), Cancer Genomics and Diagnostics (6 papers) and Gene expression and cancer classification (5 papers). Quin F. Wills is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Cancer Genomics and Diagnostics (6 papers) and Gene expression and cancer classification (5 papers). Quin F. Wills collaborates with scholars based in United Kingdom, United States and Sweden. Quin F. Wills's co-authors include Davis J. McCarthy, Kieran R. Campbell, Aaron T. L. Lun, Chris Holmes, Alex J. Tipping, Darren W. Sexton, Andrew Goldson, Kenneth J. Livak, Rory Bowden and Tariq Enver and has published in prestigious journals such as Cell, Nucleic Acids Research and Blood.

In The Last Decade

Quin F. Wills

18 papers receiving 2.0k citations

Hit Papers

Scater: pre-processing, quality control, normalization an... 2016 2026 2019 2022 2016 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quin F. Wills United Kingdom 11 1.4k 501 470 293 278 18 2.1k
Jingyuan Deng United States 12 1.4k 1.0× 545 1.1× 430 0.9× 208 0.7× 147 0.5× 23 2.2k
Johanna Klughammer Austria 13 2.1k 1.6× 767 1.5× 415 0.9× 265 0.9× 322 1.2× 17 2.9k
Patrik L. Ståhl Sweden 23 2.2k 1.6× 516 1.0× 471 1.0× 263 0.9× 189 0.7× 44 2.9k
Christian Schmidl Germany 21 1.9k 1.4× 793 1.6× 306 0.7× 376 1.3× 289 1.0× 27 2.8k
Marco Mignardi Sweden 11 1.4k 1.0× 604 1.2× 452 1.0× 249 0.8× 158 0.6× 17 2.2k
Valentina Proserpio Italy 12 2.3k 1.7× 633 1.3× 546 1.2× 263 0.9× 165 0.6× 20 2.8k
Kelly Street United States 11 1.5k 1.1× 589 1.2× 329 0.7× 263 0.9× 106 0.4× 15 2.3k
Tomás Gomes United Kingdom 16 1.5k 1.1× 752 1.5× 363 0.8× 254 0.9× 146 0.5× 18 2.3k
Jessica C. Mar United States 28 1.7k 1.2× 656 1.3× 376 0.8× 511 1.7× 208 0.7× 60 3.2k
Kay Wiebrands Netherlands 9 1.6k 1.2× 313 0.6× 393 0.8× 759 2.6× 439 1.6× 9 2.4k

Countries citing papers authored by Quin F. Wills

Since Specialization
Citations

This map shows the geographic impact of Quin F. Wills'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 Quin F. Wills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quin F. Wills more than expected).

Fields of papers citing papers by Quin F. Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quin F. Wills. 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 Quin F. Wills. The network helps show where Quin F. Wills may publish in the future.

Co-authorship network of co-authors of Quin F. Wills

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

All Works

18 of 18 papers shown
1.
Vu, Trung Nghia, Quin F. Wills, Krishna R. Kalari, et al.. (2018). Isoform-level gene expression patterns in single-cell RNA-sequencing data. Bioinformatics. 34(14). 2392–2400. 12 indexed citations
2.
Kinchen, James, Hannah H. Chen, Kaushal Parikh, et al.. (2018). Structural Remodeling of the Human Colonic Mesenchyme in Inflammatory Bowel Disease. Cell. 175(2). 372–386.e17. 450 indexed citations breakdown →
3.
Povinelli, Benjamin, Quin F. Wills, Nikolaos Barkas, et al.. (2018). Integrated Single Cell Analysis Reveals Cell Cycle and Ontogeny Related Transcriptional Heterogeneity in Hscs. Experimental Hematology. 64. S95–S96. 1 indexed citations
4.
Povinelli, Benjamin, Quin F. Wills, Nikolaos Barkas, et al.. (2017). Unravelling Cell Cycle and Ontogeny Transcriptional Heterogeneity in Hematopoietic Stem Cells through Integrated Single Cell RNA-Seq. Blood. 130(Suppl_1). 769–769. 1 indexed citations
5.
Wills, Quin F., Esther Mellado-Gomez, Rory Nolan, et al.. (2017). The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq. BMC Genomics. 18(1). 53–53. 14 indexed citations
6.
Athreya, Arjun P., Krishna R. Kalari, Junmei Cairns, et al.. (2017). Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer. Oncotarget. 8(16). 27199–27215. 10 indexed citations
7.
McCarthy, Davis J., Kieran R. Campbell, Aaron T. L. Lun, & Quin F. Wills. (2016). Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R. Bioinformatics. 33(8). 1179–1186. 951 indexed citations breakdown →
8.
Vu, Trung Nghia, Quin F. Wills, Krishna R. Kalari, et al.. (2016). Beta-Poisson model for single-cell RNA-seq data analyses. Bioinformatics. 32(14). 2128–2135. 101 indexed citations
9.
Wills, Quin F., Tobias Boothe, Ali Asadi, et al.. (2016). Statistical approaches and software for clustering islet cell functional heterogeneity. Islets. 8(2). 48–56. 10 indexed citations
10.
Yang, Yu Hsuan Carol, Quin F. Wills, & James D. Johnson. (2015). A live-cell, high-content imaging survey of 206 endogenous factors across five stress conditions reveals context-dependent survival effects in mouse primary beta cells. Diabetologia. 58(6). 1239–1249. 7 indexed citations
11.
Wills, Quin F. & Adam J. Mead. (2015). Application of single-cell genomics in cancer: promise and challenges. Human Molecular Genetics. 24(R1). R74–R84. 48 indexed citations
12.
Tang, Xiaojia, Saurabh Baheti, Khader Shameer, et al.. (2014). The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data. Nucleic Acids Research. 42(22). e172–e172. 26 indexed citations
13.
Wills, Quin F., Kenneth J. Livak, Alex J. Tipping, et al.. (2013). Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments. Nature Biotechnology. 31(8). 748–752. 171 indexed citations
14.
Livak, Kenneth J., Quin F. Wills, Alex J. Tipping, et al.. (2012). Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells. Methods. 59(1). 71–79. 112 indexed citations
15.
Rantalainen, Mattias, Blanca Herrera, Geoffrey C. Nicholson, et al.. (2011). MicroRNA Expression in Abdominal and Gluteal Adipose Tissue Is Associated with mRNA Expression Levels and Partly Genetically Driven. PLoS ONE. 6(11). e27338–e27338. 32 indexed citations
16.
Herrera, Blanca, Helen Lockstone, Jennifer M. Taylor, et al.. (2009). MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of Type 2 Diabetes. BMC Medical Genomics. 2(1). 54–54. 108 indexed citations
17.
Wills, Quin F., et al.. (2009). Toxicogenomics in Drug Discovery and Development — Making an Impact. Alternatives to Laboratory Animals. 37(1_suppl). 33–37. 2 indexed citations
18.
Wills, Quin F.. (2007). SimuGen Ltd: Reliable, Early Prediction of Drug Toxicity with Toxicogenomics, Human Cell Culture and Computational Models. Pharmacogenomics. 8(8). 1081–1084. 1 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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