Jeremy E. Purvis

4.0k total citations · 2 hit papers
48 papers, 2.5k citations indexed

About

Jeremy E. Purvis is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Jeremy E. Purvis has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Biophysics. Recurrent topics in Jeremy E. Purvis's work include Single-cell and spatial transcriptomics (11 papers), DNA Repair Mechanisms (10 papers) and Gene Regulatory Network Analysis (10 papers). Jeremy E. Purvis is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), DNA Repair Mechanisms (10 papers) and Gene Regulatory Network Analysis (10 papers). Jeremy E. Purvis collaborates with scholars based in United States and India. Jeremy E. Purvis's co-authors include Galit Lahav, Alexander Loewer, Kyle W. Karhohs, Eric Batchelor, Charles Mock, Jeanette Gowen Cook, Scott L. Diamond, Gavin D. Grant, Katarzyna M. Kedziora and Manash Chatterjee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeremy E. Purvis

46 papers receiving 2.5k citations

Hit Papers

p53 Dynamics Control Cell Fate 2012 2026 2016 2021 2012 2013 100 200 300 400 500
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.

  1. p53 Dynamics Control Cell Fate
    2012 592 citations Jeremy E. Purvis, Kyle W. Karhohs et al. Science profile →
  2. Encoding and Decoding Cellular Information through Signaling Dynamics
    2013 572 citations Jeremy E. Purvis, Galit Lahav Cell profile →

Peers

Jeremy E. Purvis
Zachary C. Dobbin United States
Marc R. Birtwistle United States
Seema Agarwal United States
Eric Batchelor United States
Elisa Ferrando‐May Germany
Sabrina L. Spencer United States
Laura M. Selfors United States
Sourav Bandyopadhyay United States
Violaine Sée United Kingdom
Suranganie Dharmawardhane Puerto Rico
Zachary C. Dobbin United States
Jeremy E. Purvis
Citations per year, relative to Jeremy E. Purvis Jeremy E. Purvis (= 1×) peers Zachary C. Dobbin

Countries citing papers authored by Jeremy E. Purvis

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy E. Purvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy E. Purvis. 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 Jeremy E. Purvis. The network helps show where Jeremy E. Purvis may publish in the future.

Co-authorship network of co-authors of Jeremy E. Purvis

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy E. Purvis. A scholar is included among the top collaborators of Jeremy E. Purvis 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 Jeremy E. Purvis. Jeremy E. Purvis 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.
Chen, Yun, Ronald N. Germain, Rajan P. Kulkarni, et al.. (2025). Bridging single cells to organs: Mesoscale modules as fundamental units of tissue function. Cell. 188(23). 6393–6410.
2.
Stanley, Natalie, et al.. (2024). Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks. BMC Bioinformatics. 25(1). 25–25. 5 indexed citations
3.
Ranek, Jolene S., Wayne Stallaert, J. Justin Milner, et al.. (2024). DELVE: feature selection for preserving biological trajectories in single-cell data. Nature Communications. 15(1). 2765–2765. 7 indexed citations
4.
Ranek, Jolene S., Katarzyna M. Kedziora, Wayne Stallaert, et al.. (2024). Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2− breast tumor cells. Proceedings of the National Academy of Sciences. 121(7). e2309261121–e2309261121. 9 indexed citations
5.
Liu, Mei, et al.. (2022). The consequences of differential origin licensing dynamics in distinct chromatin environments. Nucleic Acids Research. 50(17). 9601–9620. 21 indexed citations
6.
Ranek, Jolene S., Natalie Stanley, & Jeremy E. Purvis. (2022). Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction. Genome biology. 23(1). 186–186. 7 indexed citations
7.
Burclaff, Joseph, R. Jarrett Bliton, Keith A. Breau, et al.. (2022). A Proximal-to-Distal Survey of Healthy Adult Human Small Intestine and Colon Epithelium by Single-Cell Transcriptomics. Cellular and Molecular Gastroenterology and Hepatology. 13(5). 1554–1589. 125 indexed citations
8.
Coryell, Philip, et al.. (2020). Autophagy regulates the localization and degradation of p16 INK4a. Aging Cell. 19(7). e13171–e13171. 28 indexed citations
9.
Kumar, Rashmi J., Hui Chao, Dennis A. Simpson, et al.. (2020). Dual inhibition of DNA-PK and DNA polymerase theta overcomes radiation resistance induced by p53 deficiency. NAR Cancer. 2(4). zcaa038–zcaa038. 24 indexed citations
10.
Feng, Wanjuan, Dennis A. Simpson, Juan Carvajal-Garcia, et al.. (2019). Genetic determinants of cellular addiction to DNA polymerase theta. Nature Communications. 10(1). 4286–4286. 110 indexed citations
11.
Kedziora, Katarzyna M., et al.. (2019). Chemical screen for epigenetic barriers to single allele activation of Oct4. Stem Cell Research. 38. 101470–101470. 6 indexed citations
12.
Kedziora, Katarzyna M., et al.. (2018). Inheritance of OCT 4 predetermines fate choice in human embryonic stem cells. Molecular Systems Biology. 14(9). e8140–e8140. 17 indexed citations
13.
Grant, Gavin D., Katarzyna M. Kedziora, Juanita C. Limas, Jeanette Gowen Cook, & Jeremy E. Purvis. (2018). Accurate delineation of cell cycle phase transitions in living cells with PIP-FUCCI. Cell Cycle. 17(21-22). 2496–2516. 74 indexed citations
14.
Borland, David, Hong Yi, Gavin D. Grant, et al.. (2018). The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression. Cell Systems. 7(2). 180–184.e4. 3 indexed citations
15.
Matson, Jacob P., ‎Raluca Dumitru, Philip Coryell, et al.. (2017). Rapid DNA replication origin licensing protects stem cell pluripotency. eLife. 6. 64 indexed citations
16.
Baran‐Gale, Jeanette, Jeremy E. Purvis, & Praveen Sethupathy. (2016). An integrative transcriptomics approach identifies miR-503 as a candidate master regulator of the estrogen response in MCF-7 breast cancer cells. RNA. 22(10). 1592–1603. 33 indexed citations
17.
Grant, Gavin D., Etsuko Shibata, Anindya Dutta, et al.. (2015). Sequential replication-coupled destruction at G1/S ensures genome stability. Genes & Development. 29(16). 1734–1746. 44 indexed citations
18.
Gorman, Bryan R., Junjie Lu, Anna Baccei, et al.. (2014). Multi-Scale Imaging and Informatics Pipeline for In Situ Pluripotent Stem Cell Analysis. PLoS ONE. 9(12). e116037–e116037. 5 indexed citations
19.
Diamond, Scott L., et al.. (2013). Systems biology of platelet-vessel wall interactions. Frontiers in Physiology. 4. 229–229. 17 indexed citations
20.
Purvis, Jeremy E., Kyle W. Karhohs, Charles Mock, et al.. (2012). p53 Dynamics Control Cell Fate. Science. 336(6087). 1440–1444. 592 indexed citations breakdown →

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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