Sydney M. Shaffer

3.7k total citations · 2 hit papers
28 papers, 2.0k citations indexed

About

Sydney M. Shaffer is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sydney M. Shaffer has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Sydney M. Shaffer's work include Single-cell and spatial transcriptomics (14 papers), Cancer Genomics and Diagnostics (9 papers) and Gene Regulatory Network Analysis (5 papers). Sydney M. Shaffer is often cited by papers focused on Single-cell and spatial transcriptomics (14 papers), Cancer Genomics and Diagnostics (9 papers) and Gene Regulatory Network Analysis (5 papers). Sydney M. Shaffer collaborates with scholars based in United States, Slovakia and Austria. Sydney M. Shaffer's co-authors include Arjun Raj, Eduardo A. Torre, Benjamin Emert, Abhyudai Singh, Hannah Dueck, John I. Murray, Roberto Bonasio, Mingyao Li, Nancy R. Zhang and Mo Huang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sydney M. Shaffer

25 papers receiving 2.0k 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.

Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance

2017 756 citations Sydney M. Shaffer, Eduardo A. Torre et al. profile →
SAVER: gene expression recovery for single-cell RNA sequencing

2018 458 citations Mo Huang, Jingshu Wang et al. Nature Methods profile →

Peers

Sydney M. Shaffer

ONCOL

IMMUN

BIOPH

Margaret C. Dunagin United States

Eduardo A. Torre United States

Sven Nelander Sweden

Oren Litvin United States

Assieh Saadatpour United States

Cesar A. Vargas-García United States

Päivi Östling Finland

Rachael E. Hawtin United States

Katrin Sproesser United States

Bhavneet Bhinder United States

Margaret C. Dunagin United States

Sydney M. Shaffer

1.6k ×1.0

800 ×1.7

267 ×0.8

ONCOL

161 ×0.7

IMMUN

121 ×0.5

BIOPH

Citations per year, relative to Sydney M. Shaffer Sydney M. Shaffer (= 1×) peers Margaret C. Dunagin

Countries citing papers authored by Sydney M. Shaffer

Since Specialization

Citations

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

Fields of papers citing papers by Sydney M. Shaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sydney M. Shaffer. 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 Sydney M. Shaffer. The network helps show where Sydney M. Shaffer may publish in the future.

Co-authorship network of co-authors of Sydney M. Shaffer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shaffer, Sydney M., et al.. (2025). Unveiling heterogeneity in rare cells by combining RNA-based sorting and scRNA-seq. Nature Genetics. 57(2). 283–284. 2 indexed citations

Shaffer, Sydney M., et al.. (2025). Parent-identified intrinsic and extrinsic factors that influence performance across developmental domains and participation in their communities. Frontiers in Pediatrics. 13. 1472743–1472743.

Li, Haiyin, et al.. (2025). SpaceBar enables single-cell-resolution clone tracing with imaging-based spatial transcriptomics. Nature Methods. 23(2). 328–333.

Shaffer, Sydney M., et al.. (2024). Clonal differences underlie variable responses to sequential and prolonged treatment. Cell Systems. 15(3). 213–226.e9. 5 indexed citations

Vargas‐Castillo, Ariana, Yizhi Sun, Phillip A. Dumesic, et al.. (2024). Development of a functional beige fat cell line uncovers independent subclasses of cells expressing UCP1 and the futile creatine cycle. Cell Metabolism. 36(9). 2146–2155.e5. 13 indexed citations

Shaffer, Sydney M., et al.. (2024). Non-genetic differences underlie variability in proliferation among esophageal epithelial clones. PLoS Computational Biology. 20(10). e1012360–e1012360. 1 indexed citations

Ouellet, Mathieu, et al.. (2024). Breaking reflection symmetry: evolving long dynamical cycles in Boolean systems. New Journal of Physics. 26(2). 23006–23006. 2 indexed citations

Burrows, Michelle, Laura C. Kim, Jimmy P. Xu, et al.. (2024). Cancer-associated fibroblasts maintain critical pancreatic cancer cell lipid homeostasis in the tumor microenvironment. Cell Reports. 43(11). 114972–114972. 12 indexed citations

Harmange, Guillaume, Benjamin Emert, Laura C. Kim, et al.. (2023). Disrupting cellular memory to overcome drug resistance. Nature Communications. 14(1). 7130–7130. 26 indexed citations

10.

Williams, Patrick A., Priya Chatterji, Charles Danan, et al.. (2023). IGF2BP1/IMP1 Deletion Enhances a Facultative Stem Cell State via Regulation of MAP1LC3B. Cellular and Molecular Gastroenterology and Hepatology. 17(3). 439–451. 1 indexed citations

11.

Shaffer, Sydney M., et al.. (2022). Integrating mutational and nonmutational mechanisms of acquired therapy resistance within the Darwinian paradigm. Trends in cancer. 8(6). 456–466. 7 indexed citations

12.

Torre, Eduardo A., Eri Arai, Connie Jiang, et al.. (2021). Genetic screening for single-cell variability modulators driving therapy resistance. Nature Genetics. 53(1). 76–85. 36 indexed citations

13.

Shaffer, Sydney M., Benjamin Emert, Christopher Coté, et al.. (2020). Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors. Cell. 182(4). 947–959.e17. 124 indexed citations

14.

Schwartz, Gregory W., Yeqiao Zhou, Jelena Petrovic, et al.. (2020). TooManyCells identifies and visualizes relationships of single-cell clades. Nature Methods. 17(4). 405–413. 44 indexed citations

15.

Wang, Jingshu, Mo Huang, Eduardo A. Torre, et al.. (2018). Gene expression distribution deconvolution in single-cell RNA sequencing. Proceedings of the National Academy of Sciences. 115(28). E6437–E6446. 63 indexed citations

16.

Huang, Mo, Jingshu Wang, Eduardo A. Torre, et al.. (2018). SAVER: gene expression recovery for single-cell RNA sequencing. Nature Methods. 15(7). 539–542. 458 indexed citations breakdown →

17.

Sussman, Robyn T., Sydney M. Shaffer, Elizabeth M. Azzato, et al.. (2018). Validation of a next-generation sequencing oncology panel optimized for low input DNA. Cancer Genetics. 228-229. 55–63. 6 indexed citations

18.

Perego, Michela, Sydney M. Shaffer, André C. Müller, et al.. (2017). A slow-cycling subpopulation of melanoma cells with highly invasive properties. Oncogene. 37(3). 302–312. 61 indexed citations

19.

Dar, Roy D., Sydney M. Shaffer, Abhyudai Singh, et al.. (2016). Transcriptional Bursting Explains the Noise–Versus–Mean Relationship in mRNA and Protein Levels. PLoS ONE. 11(7). e0158298–e0158298. 41 indexed citations

20.

Shaffer, Sydney M., et al.. (2013). Turbo FISH: A Method for Rapid Single Molecule RNA FISH. PLoS ONE. 8(9). e75120–e75120. 88 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.

Explore authors with similar magnitude of impact