Savaş Tay

6.0k total citations · 2 hit papers
74 papers, 3.8k citations indexed

About

Savaş Tay is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Savaş Tay has authored 74 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Biomedical Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Savaş Tay's work include 3D Printing in Biomedical Research (17 papers), Photorefractive and Nonlinear Optics (16 papers) and Photonic and Optical Devices (15 papers). Savaş Tay is often cited by papers focused on 3D Printing in Biomedical Research (17 papers), Photorefractive and Nonlinear Optics (16 papers) and Photonic and Optical Devices (15 papers). Savaş Tay collaborates with scholars based in United States, Switzerland and Denmark. Savaş Tay's co-authors include Matthias Mehling, Ryan Kellogg, Stephen R. Quake, Tomasz Lipniacki, Jacob Hughey, Timothy K. Lee, Markus W. Covert, Michael Junkin, Luke Vistain and Robert A. Norwood and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Savaş Tay

69 papers receiving 3.7k citations

Hit Papers

Single-cell NF-κB dynamic... 2010 2026 2015 2020 2010 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Savaş Tay 1.5k 1.4k 640 461 425 74 3.8k
Euiheon Chung 557 0.4× 1.1k 0.7× 228 0.4× 200 0.4× 500 1.2× 90 2.6k
Keith A. Lidke 2.0k 1.4× 1.0k 0.7× 479 0.7× 427 0.9× 258 0.6× 109 4.9k
Dylan M. Owen 2.7k 1.8× 702 0.5× 794 1.2× 487 1.1× 241 0.6× 115 5.1k
Francesco Pampaloni 1.5k 1.0× 2.2k 1.6× 171 0.3× 270 0.6× 879 2.1× 54 4.7k
Donna J. Arndt‐Jovin 3.0k 2.0× 685 0.5× 274 0.4× 164 0.4× 273 0.6× 81 4.5k
Diane S. Lidke 2.3k 1.5× 651 0.5× 587 0.9× 235 0.5× 452 1.1× 103 4.1k
Gerhard J. Schütz 3.8k 2.5× 1.4k 1.0× 993 1.6× 1.2k 2.7× 446 1.0× 175 6.5k
François Aguet 3.1k 2.1× 317 0.2× 516 0.8× 155 0.3× 288 0.7× 70 5.2k
Jason Reed 620 0.4× 1.2k 0.8× 136 0.2× 563 1.2× 143 0.3× 81 3.0k
Chun‐Min Lo 951 0.6× 2.4k 1.6× 142 0.2× 983 2.1× 266 0.6× 59 5.2k

Countries citing papers authored by Savaş Tay

Since Specialization
Citations

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

Fields of papers citing papers by Savaş Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savaş Tay

This figure shows the co-authorship network connecting the top 25 collaborators of Savaş Tay. A scholar is included among the top collaborators of Savaş Tay 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 Savaş Tay. Savaş Tay 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.
Son, Minjun, et al.. (2025). Macrophage memory emerges from coordinated transcription factor and chromatin dynamics. Cell Systems. 16(2). 101171–101171.
2.
Neugebauer, Eva, Stephanie Wälter, Nir Drayman, et al.. (2025). Herpesviruses mimic zygotic genome activation to promote viral replication. Nature Communications. 16(1). 710–710. 3 indexed citations
3.
Lin, Jing, Olga Karginova, Rita Nanda, et al.. (2024). Single-cell chemoproteomics identifies metastatic activity signatures in breast cancer. Science Advances. 10(43). eadp2622–eadp2622. 3 indexed citations
4.
Tay, Savaş, et al.. (2024). A drug repurposing screen identifies decitabine as an HSV-1 antiviral. Microbiology Spectrum. 12(11). e0175424–e0175424. 6 indexed citations
5.
Shitrit, Alina, Hila Kobo, Savaş Tay, et al.. (2023). Shared sequence characteristics identified in non-canonical rearrangements of HSV-1 genomes. Journal of Virology. 97(12). e0095523–e0095523. 3 indexed citations
6.
Menéndez, Cintia A., Benjamin W. Rawe, Dan Mendels, et al.. (2023). Development of Masitinib Derivatives with Enhanced Mpro Ligand Efficiency and Reduced Cytotoxicity. Molecules. 28(18). 6643–6643. 2 indexed citations
7.
Son, Minjun, et al.. (2022). NF-κB memory coordinates transcriptional responses to dynamic inflammatory stimuli. Cell Reports. 40(7). 111159–111159. 22 indexed citations
8.
Son, Minjun, Thomas Holst‐Hansen, Michael Junkin, et al.. (2022). Spatiotemporal NF-κB dynamics encodes the position, amplitude, and duration of local immune inputs. Science Advances. 8(35). eabn6240–eabn6240. 24 indexed citations
9.
Yan, Kenneth, Jing Lin, M. Fatih Abasıyanık, et al.. (2022). Measuring SARS‐CoV‐2 aerosolization in rooms of hospitalized patients. Laryngoscope Investigative Otolaryngology. 7(4). 1033–1041. 2 indexed citations
10.
Vistain, Luke, et al.. (2022). Quantification of extracellular proteins, protein complexes and mRNAs in single cells by proximity sequencing. Nature Methods. 19(12). 1578–1589. 25 indexed citations
11.
Son, Minjun, Hsiung‐Lin Tu, Marie Oliver Metzig, et al.. (2021). NF-κB responds to absolute differences in cytokine concentrations. Science Signaling. 14(666). 34 indexed citations
12.
Lin, Jing & Savaş Tay. (2021). Ultra-Sensitive Quantification of Protein and mRNA in Single Mammalian Cells with Digital PLA. Methods in molecular biology. 2386. 157–169. 3 indexed citations
13.
Sohn, Lydia L., Petra Schwille, Andreas Hierlemann, et al.. (2020). How Can Microfluidic and Microfabrication Approaches Make Experiments More Physiologically Relevant?. Cell Systems. 11(3). 209–211. 11 indexed citations
14.
Lin, Jing, Christian Jordi, Minjun Son, et al.. (2019). Ultra-sensitive digital quantification of proteins and mRNA in single cells. Nature Communications. 10(1). 3544–3544. 44 indexed citations
15.
Kellogg, Ryan, Chengzhe Tian, Martin Etzrodt, & Savaş Tay. (2017). Cellular Decision Making by Non-Integrative Processing of TLR Inputs. Cell Reports. 19(1). 125–135. 41 indexed citations
16.
Schwarz, Jan, Jack Merrin, Robert Hauschild, et al.. (2016). A microfluidic device for measuring cell migration towards substrate-bound and soluble chemokine gradients. Scientific Reports. 6(1). 36440–36440. 64 indexed citations
17.
Tay, Savaş, et al.. (2013). Migration of Cells in a Social Context. Biophysical Journal. 104(2). 147a–147a. 2 indexed citations
18.
Tay, Savaş, Jacob Hughey, Timothy K. Lee, et al.. (2010). Single-cell NF-κB dynamics reveal digital activation and analogue information processing. Nature. 466(7303). 267–271. 636 indexed citations breakdown →
19.
Tay, Savaş & N. Peyghambarian. (2008). Refreshable holographic 3-D displays. Information Display. 24(7). 16–20. 1 indexed citations
20.
Thomas, Jayan, Savaş Tay, Guoqiang Li, et al.. (2004). High-performance photorefractive polymer operating at 975nm. Applied Physics Letters. 85(7). 1095–1097. 20 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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