Polly M. Fordyce

4.0k total citations · 1 hit paper
65 papers, 2.6k citations indexed

About

Polly M. Fordyce is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Polly M. Fordyce has authored 65 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Polly M. Fordyce's work include Innovative Microfluidic and Catalytic Techniques Innovation (18 papers), RNA and protein synthesis mechanisms (13 papers) and Genomics and Chromatin Dynamics (12 papers). Polly M. Fordyce is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (18 papers), RNA and protein synthesis mechanisms (13 papers) and Genomics and Chromatin Dynamics (12 papers). Polly M. Fordyce collaborates with scholars based in United States, Israel and United Kingdom. Polly M. Fordyce's co-authors include Steven M. Block, Joseph L. DeRisi, Matthew J. Lang, Megan T. Valentine, Scott A. Longwell, Susan P. Gilbert, Troy C. Krzysiak, Anita M. Engh, Keir C. Neuman and Kara Brower and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Polly M. Fordyce

63 papers receiving 2.6k citations

Hit Papers

1 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.

Short tandem repeats bind transcription factors to tune eukaryotic gene expression

2023 98 citations Amr M. Alexandari, Michael G.B. Hayes et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Polly M. Fordyce United States	29	1.4k	708	488	280	249	65	2.6k
Vadim A. Frolov United States	23	2.3k 1.6×	616 0.9×	1.1k 2.2×	149 0.5×	277 1.1×	39	3.1k
Stefano Pagliara United Kingdom	31	813 0.6×	1.3k 1.9×	413 0.8×	371 1.3×	266 1.1×	76	2.9k
Chang‐Won Lee South Korea	30	1.3k 0.9×	792 1.1×	131 0.3×	618 2.2×	527 2.1×	162	3.4k
Shixin Liu United States	27	1.4k 1.0×	294 0.4×	178 0.4×	119 0.4×	320 1.3×	81	2.4k
Martin P. Stewart Switzerland	14	1.3k 0.9×	1.0k 1.4×	799 1.6×	88 0.3×	254 1.0×	19	2.6k
Aryeh Weiss Israel	26	1.0k 0.7×	292 0.4×	303 0.6×	204 0.7×	106 0.4×	74	2.2k
Tae‐Young Yoon South Korea	30	1.8k 1.3×	538 0.8×	789 1.6×	150 0.5×	399 1.6×	90	3.0k
Dominique Aubel France	30	1.4k 1.0×	439 0.6×	180 0.4×	480 1.7×	400 1.6×	88	2.9k
Shige H. Yoshimura Japan	30	2.1k 1.5×	284 0.4×	325 0.7×	196 0.7×	703 2.8×	99	3.1k
Savaş Tay United States	31	1.5k 1.0×	1.4k 2.0×	200 0.4×	373 1.3×	461 1.9×	74	3.8k

Countries citing papers authored by Polly M. Fordyce

Since Specialization

Citations

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

Fields of papers citing papers by Polly M. Fordyce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polly M. Fordyce

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

All Works

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20 of 20 papers shown

Güsken, Nicholas A., Gerwin Dijk, Peter Suzuki, et al.. (2026). Soft photonic skins with dynamic texture and colour control. Nature. 649(8096). 345–352.

Aditham, Arjun K., et al.. (2025). Mutations to transcription factor MAX allosterically increase DNA selectivity by altering folding and binding pathways. Nature Communications. 16(1). 636–636. 2 indexed citations

McClune, Conor J., Chun‐Ting Liu, Ricardo De La Peña, et al.. (2025). Discovery of FoTO1 and Taxol genes enables biosynthesis of baccatin III. Nature. 643(8071). 582–592. 8 indexed citations

Alexandari, Amr M., Michael G.B. Hayes, Emil Marklund, et al.. (2023). Short tandem repeats bind transcription factors to tune eukaryotic gene expression. Science. 381(6664). eadd1250–eadd1250. 98 indexed citations breakdown →

McCully, Alexandra L., et al.. (2023). Double emulsions as a high-throughput enrichment and isolation platform for slower-growing microbes. ISME Communications. 3(1). 47–47. 16 indexed citations

Khariton, Margarita, Conor J. McClune, Sandy Klemm, et al.. (2023). Alleviating Cell Lysate-Induced Inhibition to Enable RT-PCR from Single Cells in Picoliter-Volume Double Emulsion Droplets. Analytical Chemistry. 95(2). 935–945. 3 indexed citations

Stapleton, Lyndsay M., Justin M. Farry, Yuanjia Zhu, et al.. (2023). Microfluidic encapsulation of photosynthetic cyanobacteria in hydrogel microparticles augments oxygen delivery to rescue ischemic myocardium. Journal of Bioscience and Bioengineering. 135(6). 493–499. 11 indexed citations

McIntyre, David, et al.. (2023). Versatility and stability optimization of flow-focusing droplet generators via quality metric-driven design automation. Lab on a Chip. 23(23). 4997–5008. 4 indexed citations

Hein, Jamin B., Hieu Nguyen, Dimitriya H. Garvanska, et al.. (2023). Phosphatase specificity principles uncovered by MRBLE:Dephos and global substrate identification. Molecular Systems Biology. 19(12). e11782–e11782. 9 indexed citations

10.

Sockell, Alexandra, Wing Hung Wong, Scott A. Longwell, et al.. (2023). A microwell platform for high-throughput longitudinal phenotyping and selective retrieval of organoids. Cell Systems. 14(9). 764–776.e6. 6 indexed citations

11.

Zhao, Xiang, Elizabeth Motunrayo Kolawole, Waipan Chan, et al.. (2022). Tuning T cell receptor sensitivity through catch bond engineering. Science. 376(6589). eabl5282–eabl5282. 88 indexed citations

12.

Markin, Craig J., Daniel A. Mokhtari, Fanny Sunden, et al.. (2021). Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics. Science. 373(6553). 119 indexed citations

13.

Appel, Mason J., Scott A. Longwell, Maurizio Morri, et al.. (2021). uPIC–M: Efficient and Scalable Preparation of Clonal Single Mutant Libraries for High-Throughput Protein Biochemistry. ACS Omega. 6(45). 30542–30554. 4 indexed citations

14.

Shimko, Tyler C., Polly M. Fordyce, & Yaron Orenstein. (2020). DeCoDe: degenerate codon design for complete protein-coding DNA libraries. Bioinformatics. 36(11). 3357–3364. 7 indexed citations

15.

Nguyen, Huy, et al.. (2019). An open-source software analysis package for Microspheres with Ratiometric Barcode Lanthanide Encoding (MRBLEs). PLoS ONE. 14(3). e0203725–e0203725. 11 indexed citations

16.

Le, Daniel D., Tyler C. Shimko, Arjun K. Aditham, et al.. (2018). Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding. Proceedings of the National Academy of Sciences. 115(16). E3702–E3711. 51 indexed citations

17.

Greenside, Peyton, Tyler C. Shimko, Polly M. Fordyce, & Anshul Kundaje. (2018). Discovering epistatic feature interactions from neural network models of regulatory DNA sequences. Bioinformatics. 34(17). i629–i637. 51 indexed citations

18.

Puccinelli, Robert, et al.. (2018). Diversification of DNA binding specificities enabled SREBP transcription regulators to expand the repertoire of cellular functions that they govern in fungi. PLoS Genetics. 14(12). e1007884–e1007884. 12 indexed citations

19.

Doudna, Jennifer A., Roy Bar‐Ziv, Johan Elf, et al.. (2017). How Will Kinetics and Thermodynamics Inform Our Future Efforts to Understand and Build Biological Systems?. Cell Systems. 4(2). 144–146. 5 indexed citations

20.

Brower, Kara, Adam K. White, & Polly M. Fordyce. (2017). Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices. Journal of Visualized Experiments. 22 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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