F. William Townes

1.6k total citations · 1 hit paper
15 papers, 730 citations indexed

About

F. William Townes is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, F. William Townes has authored 15 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in F. William Townes's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Genetic and phenotypic traits in livestock (3 papers). F. William Townes is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Genetic and phenotypic traits in livestock (3 papers). F. William Townes collaborates with scholars based in United States, China and Germany. F. William Townes's co-authors include Rafael A. Irizarry, Stephanie C. Hicks, Mingxiang Teng, Martin J. Aryee, Barbara E. Engelhardt, Andrew Jones, Guy Harling, Jennifer F. Bobb, Oscar Patterson‐Lomba and Jeffrey W. Miller and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

F. William Townes

14 papers receiving 726 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

2019 257 citations F. William Townes, Stephanie C. Hicks et al. Genome biology profile →

Peers

F. William Townes

MB

CR

BIOPH

IMMUN

GENET

Danila Bredikhin Germany

Anna Danese Germany

Nikos Karaiskos Germany

Kridsadakorn Chaichoompu Thailand

Jiaqiang Zhu China

Katy Vandereyken Belgium

Tomislav Ilicic United Kingdom

Zhixiang Lin Hong Kong

Amelia Schroeder United States

Scott Gigante United States

Danila Bredikhin Germany

F. William Townes

546 ×0.9

MB

96 ×0.6

CR

81 ×0.8

BIOPH

62 ×1.0

IMMUN

40 ×1.0

GENET

Citations per year, relative to F. William Townes F. William Townes (= 1×) peers Danila Bredikhin

Countries citing papers authored by F. William Townes

Since Specialization

Citations

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

Fields of papers citing papers by F. William Townes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. William Townes

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

All Works

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15 of 15 papers shown

1.

Rumack, Aaron, et al.. (2025). Does spatial information improve forecasting of influenza-like illness?. Epidemics. 51. 100820–100820.

2.

Bidwell, Amanda, et al.. (2024). Spatiotemporal Variability of the Pepper Mild Mottle Virus Biomarker in Wastewater. ACS ES&T Water. 5(1). 341–350. 2 indexed citations

3.

Verpeut, Jessica L., Mikhail Kislin, F. William Townes, et al.. (2023). Cerebellar contributions to a brainwide network for flexible behavior in mice. Communications Biology. 6(1). 605–605. 17 indexed citations

4.

Jones, Andrew, et al.. (2023). Alignment of spatial genomics data using deep Gaussian processes. Nature Methods. 20(9). 1379–1387. 37 indexed citations

5.

Gewirtz, Ariel DH, F. William Townes, & Barbara E. Engelhardt. (2022). Telescoping bimodal latent Dirichlet allocation to identify expression QTLs across tissues. Life Science Alliance. 5(12). e202101297–e202101297. 2 indexed citations

6.

Townes, F. William & Barbara E. Engelhardt. (2022). Nonnegative spatial factorization applied to spatial genomics. Nature Methods. 20(2). 229–238. 48 indexed citations

7.

Jones, Andrew, et al.. (2022). Contrastive latent variable modeling with application to case-control sequencing experiments. The Annals of Applied Statistics. 16(3). 1268–1291. 7 indexed citations

8.

Townes, F. William & Rafael A. Irizarry. (2020). Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers. Genome biology. 21(1). 16 indexed citations

9.

Hecker, Julian, F. William Townes, Priyadarshini Kachroo, et al.. (2020). A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests. Bioinformatics. 36(22-23). 5432–5438. 5 indexed citations

10.

Townes, F. William, et al.. (2020). Identifying longevity associated genes by integrating gene expression and curated annotations. PLoS Computational Biology. 16(11). e1008429–e1008429. 7 indexed citations

11.

Townes, F. William, Stephanie C. Hicks, Martin J. Aryee, & Rafael A. Irizarry. (2019). Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model. Genome biology. 20(1). 295–295. 257 indexed citations breakdown →

12.

Marsh, David M., et al.. (2019). Thermal Preference and Species Range in Mountaintop Salamanders and Their Widespread Competitors. Journal of Herpetology. 53(2). 96–96. 2 indexed citations

13.

Hecker, Julian, Xin Xu, F. William Townes, et al.. (2017). Family‐based tests for associating haplotypes with general phenotype data. Genetic Epidemiology. 42(1). 123–126. 3 indexed citations

14.

Hicks, Stephanie C., F. William Townes, Mingxiang Teng, & Rafael A. Irizarry. (2017). Missing data and technical variability in single-cell RNA-sequencing experiments. Biostatistics. 19(4). 562–578. 313 indexed citations

15.

Valeri, Linda, Oscar Patterson‐Lomba, Yared Gurmu, et al.. (2016). Predicting Subnational Ebola Virus Disease Epidemic Dynamics from Sociodemographic Indicators. PLoS ONE. 11(10). e0163544–e0163544. 14 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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