Tallulah Andrews

7.0k total citations · 3 hit papers
23 papers, 3.4k citations indexed

About

Tallulah Andrews is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tallulah Andrews has authored 23 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Tallulah Andrews's work include Single-cell and spatial transcriptomics (12 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (4 papers). Tallulah Andrews is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (4 papers). Tallulah Andrews collaborates with scholars based in United Kingdom, Canada and United States. Tallulah Andrews's co-authors include Martin Hemberg, Vladimir Yu Kiselev, Kedar Nath Natarajan, Mauricio Barahona, Michael T. Schaub, Anthony R. Green, Andrew Yiu, Wolf Reik, Kristina Kirschner and Tamir Chandra and has published in prestigious journals such as Science, Nature Communications and Bioinformatics.

In The Last Decade

Tallulah Andrews

22 papers receiving 3.3k citations

Hit Papers

SC3: consensus clustering of single-cell RNA-seq data 2017 2026 2020 2023 2017 2019 2019 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
Tallulah Andrews United Kingdom 16 2.6k 701 648 414 208 23 3.4k
Stephanie C. Hicks United States 31 2.4k 0.9× 491 0.7× 359 0.6× 313 0.8× 281 1.4× 87 4.2k
Lukas M. Simon United States 18 2.3k 0.9× 640 0.9× 529 0.8× 337 0.8× 303 1.5× 47 3.4k
Immanuel Kwok Singapore 8 1.9k 0.7× 401 0.6× 1.1k 1.7× 310 0.7× 411 2.0× 12 3.5k
Philipp Angerer Germany 6 3.3k 1.3× 663 0.9× 1.1k 1.6× 568 1.4× 437 2.1× 11 4.3k
Vladimir Yu Kiselev United Kingdom 13 2.6k 1.0× 595 0.8× 409 0.6× 420 1.0× 145 0.7× 16 2.9k
Valentine Svensson United Kingdom 14 2.6k 1.0× 644 0.9× 594 0.9× 401 1.0× 267 1.3× 16 3.1k
Florian Buettner Germany 26 3.6k 1.4× 697 1.0× 855 1.3× 649 1.6× 388 1.9× 52 5.3k
Romain Lopez United States 8 2.3k 0.9× 495 0.7× 652 1.0× 490 1.2× 254 1.2× 12 2.9k
Asim Siddiqui Canada 16 3.0k 1.1× 815 1.2× 546 0.8× 256 0.6× 328 1.6× 30 4.3k
Michelle D. Tadmor United States 6 2.4k 0.9× 398 0.6× 1.1k 1.8× 791 1.9× 483 2.3× 6 3.5k

Countries citing papers authored by Tallulah Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Tallulah Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tallulah Andrews. 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 Tallulah Andrews. The network helps show where Tallulah Andrews may publish in the future.

Co-authorship network of co-authors of Tallulah Andrews

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

All Works

20 of 20 papers shown
1.
Andrews, Tallulah, et al.. (2025). Interpretable single-cell factor decomposition using sciRED. Nature Communications. 16(1). 1878–1878. 1 indexed citations
2.
Wilson, Rachel B., et al.. (2024). Elongation factor 1A1 inhibition elicits changes in lipid droplet size, the bulk transcriptome, and cell type-associated gene expression in MASLD mouse liver. American Journal of Physiology-Gastrointestinal and Liver Physiology. 327(4). G608–G622.
3.
Kent, G, Ian Fernandes, Jamie J. Kwan, et al.. (2024). Human liver sinusoidal endothelial cells support the development of functional human pluripotent stem cell-derived Kupffer cells. Cell Reports. 43(8). 114629–114629. 4 indexed citations
4.
Moshkelgosha, Sajad, Gavin W. Wilson, Tallulah Andrews, et al.. (2022). Interferon-stimulated and metallothionein-expressing macrophages are associated with acute and chronic allograft dysfunction after lung transplantation. The Journal of Heart and Lung Transplantation. 41(11). 1556–1569. 15 indexed citations
5.
Andrews, Tallulah, et al.. (2021). Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods. Nature Protocols. 16(6). 2749–2764. 126 indexed citations
6.
Andrews, Tallulah, Jawairia Atif, Jeff C. Liu, et al.. (2021). Single‐Cell, Single‐Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity. Hepatology Communications. 6(4). 821–840. 151 indexed citations
7.
Moshkelgosha, Sajad, Gavin W. Wilson, Tallulah Andrews, et al.. (2021). Pulmonary Macrophage Subsets Associated with Lung Allograft Dysfunction Revealed by Single-Cell RNA Sequencing. The Journal of Heart and Lung Transplantation. 40(4). S154–S154. 1 indexed citations
8.
Lee, Jayhun, Avril Coghlan, Alan Tracey, et al.. (2020). Single-cell atlas of the first intra-mammalian developmental stage of the human parasite Schistosoma mansoni. Nature Communications. 11(1). 6411–6411. 51 indexed citations
9.
Andrews, Tallulah, Vladimir Yu Kiselev, Davis J. McCarthy, & Martin Hemberg. (2020). Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. Nature Protocols. 16(1). 1–9. 194 indexed citations
10.
Howick, Virginia M., Andrew J. C. Russell, Tallulah Andrews, et al.. (2019). The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle. Science. 365(6455). 164 indexed citations
11.
Kiselev, Vladimir Yu, Tallulah Andrews, & Martin Hemberg. (2019). Challenges in unsupervised clustering of single-cell RNA-seq data. Nature Reviews Genetics. 20(5). 273–282. 690 indexed citations breakdown →
12.
Kiselev, Vladimir Yu, Tallulah Andrews, & Martin Hemberg. (2019). Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq data. Nature Reviews Genetics. 20(5). 310–310. 25 indexed citations
13.
Lun, Aaron T. L., et al.. (2019). EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data. Genome biology. 20(1). 63–63. 501 indexed citations breakdown →
14.
Andrews, Tallulah & Martin Hemberg. (2018). M3Drop: dropout-based feature selection for scRNASeq. Bioinformatics. 35(16). 2865–2867. 170 indexed citations
15.
Andrews, Tallulah, Özge Vargel Bölükbaşı, Andreas Buneß, et al.. (2018). Single-cell transcriptomics reveals a new dynamical function of transcription factors during embryonic hematopoiesis. eLife. 7. 27 indexed citations
16.
Kiselev, Vladimir Yu, Kristina Kirschner, Michael T. Schaub, et al.. (2017). SC3: consensus clustering of single-cell RNA-seq data. Nature Methods. 14(5). 483–486. 920 indexed citations breakdown →
17.
Andrews, Tallulah & Martin Hemberg. (2017). Identifying cell populations with scRNASeq. Molecular Aspects of Medicine. 59. 114–122. 161 indexed citations
18.
Andrews, Tallulah, Stephen Meader, Julia Steinberg, et al.. (2015). Gene Networks Underlying Convergent and Pleiotropic Phenotypes in a Large and Systematically-Phenotyped Cohort with Heterogeneous Developmental Disorders. PLoS Genetics. 11(3). e1005012–e1005012. 12 indexed citations
19.
Andrews, Tallulah, Frantisek Honti, Rolph Pfundt, et al.. (2015). The clustering of functionally related genes contributes to CNV-mediated disease. Genome Research. 25(6). 802–813. 21 indexed citations
20.
Steinberg, Julia, et al.. (2014). GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks. Bioinformatics. 31(3). 442–444. 11 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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