Tom Ellis

7.7k total citations · 1 hit paper
91 papers, 4.8k citations indexed

About

Tom Ellis is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Tom Ellis has authored 91 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 19 papers in Genetics and 13 papers in Biotechnology. Recurrent topics in Tom Ellis's work include CRISPR and Genetic Engineering (27 papers), RNA and protein synthesis mechanisms (22 papers) and Gene Regulatory Network Analysis (22 papers). Tom Ellis is often cited by papers focused on CRISPR and Genetic Engineering (27 papers), RNA and protein synthesis mechanisms (22 papers) and Gene Regulatory Network Analysis (22 papers). Tom Ellis collaborates with scholars based in United Kingdom, United States and China. Tom Ellis's co-authors include Guy‐Bart Stan, Charlie Gilbert, Francesca Ceroni, Geoff Baldwin, Xiao Wang, James J. Collins, W. M. Shaw, Benjamin A. Blount, Benjamin Reeve and Arturo Casini and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tom Ellis

83 papers receiving 4.7k 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.

Living materials with programmable functionalities grown from engineered microbial co-cultures

2021 222 citations Charlie Gilbert, Tzu‐Chieh Tang et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Ellis United Kingdom	37	3.7k	910	860	411	397	91	4.8k
Fuzhong Zhang United States	38	4.8k 1.3×	1.8k 1.9×	626 0.7×	236 0.6×	730 1.8×	97	6.5k
Tae Seok Moon United States	30	3.3k 0.9×	1.0k 1.1×	507 0.6×	390 0.9×	158 0.4×	98	4.1k
Christopher V. Rao United States	39	3.8k 1.0×	2.0k 2.2×	1.1k 1.3×	305 0.7×	256 0.6×	117	5.9k
Ting Lu United States	33	2.3k 0.6×	656 0.7×	574 0.7×	212 0.5×	105 0.3×	121	3.9k
John E. Dueber United States	32	5.6k 1.5×	965 1.1×	707 0.8×	545 1.3×	115 0.3×	44	6.4k
Michael Sauer Austria	41	4.6k 1.3×	2.2k 2.4×	314 0.4×	702 1.7×	186 0.5×	129	5.8k
Friedrich Srienc United States	41	3.5k 1.0×	1.5k 1.7×	566 0.7×	169 0.4×	741 1.9×	124	5.2k
Xueqin Lv China	36	2.7k 0.7×	718 0.8×	589 0.7×	496 1.2×	82 0.2×	187	4.0k
Dawei Zhang China	31	1.5k 0.4×	454 0.5×	362 0.4×	344 0.8×	269 0.7×	89	3.7k
Gyoo Yeol Jung South Korea	39	3.6k 1.0×	1.8k 1.9×	516 0.6×	249 0.6×	108 0.3×	169	4.8k

Countries citing papers authored by Tom Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Tom Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Ellis. A scholar is included among the top collaborators of Tom Ellis 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 Tom Ellis. Tom Ellis 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

Ellis, Tom, et al.. (2026). Programmable cell–cell adhesion in synthetic yeast communities for improved bioproduction. Nature Chemical Biology.

Mangayil, Rahul, Essi Sarlin, Tom Ellis, & Ville Santala. (2025). Modulating bacterial nanocellulose crystallinity through post-transcriptional repression in Komagataeibacter xylinus. Carbohydrate Polymer Technologies and Applications. 9. 100734–100734. 1 indexed citations

Meng, Fankang, et al.. (2025). Engineering yeast multicellular behaviors via synthetic adhesion and contact signaling. Cell. 188(18). 4936–4949.e14. 2 indexed citations

Gowers, Glen-Oliver F., et al.. (2025). Iterative SCRaMbLE for engineering synthetic genome modules and chromosomes. Nature Communications. 16(1). 7278–7278. 1 indexed citations

Goosens, Vivianne J., et al.. (2024). Self-pigmenting textiles grown from cellulose-producing bacteria with engineered tyrosinase expression. Nature Biotechnology. 43(3). 345–354. 34 indexed citations

Shabestary, Kiyan, et al.. (2024). Understanding resource competition to achieve predictable synthetic gene expression in eukaryotes. Nature Reviews Bioengineering. 2(9). 721–732. 7 indexed citations

Xu, Xin, F. Meier, Benjamin A. Blount, et al.. (2023). Trimming the genomic fat: minimising and re-functionalising genomes using synthetic biology. Nature Communications. 14(1). 1984–1984. 27 indexed citations

Shaw, W. M., Yunfeng Zhang, Ahmad S. Khalil, et al.. (2022). Screening microbially produced Δ9-tetrahydrocannabinol using a yeast biosensor workflow. Nature Communications. 13(1). 5509–5509. 15 indexed citations

Ellis, Tom, et al.. (2021). Ten future challenges for synthetic biology. SHILAP Revista de lepidopterología. 5(3). 51–59. 36 indexed citations

10.

Gilbert, Charlie, Tzu‐Chieh Tang, Wolfgang Ott, et al.. (2021). Living materials with programmable functionalities grown from engineered microbial co-cultures. Nature Materials. 20(5). 691–700. 222 indexed citations breakdown →

11.

Goosens, Vivianne J., Amritpal Singh, Linda Dekker, et al.. (2021). Komagataeibacter Tool Kit (KTK): A Modular Cloning System for Multigene Constructs and Programmed Protein Secretion from Cellulose Producing Bacteria. ACS Synthetic Biology. 10(12). 3422–3434. 23 indexed citations

12.

Ellis, Tom, et al.. (2021). Genetic Toolkits to Design and Build Mammalian Synthetic Systems. Trends in biotechnology. 39(10). 1004–1018. 12 indexed citations

13.

Bell, David, et al.. (2020). Improved betulinic acid biosynthesis using synthetic yeast chromosome recombination and semi-automated rapid LC-MS screening. Nature Communications. 11(1). 868–868. 57 indexed citations

14.

Ellis, Tom. (2018). Predicting how evolution will beat us. Microbial Biotechnology. 12(1). 41–43. 13 indexed citations

15.

Goosens, Vivianne J., et al.. (2018). Engineered cell‐to‐cell signalling within growing bacterial cellulose pellicles. Microbial Biotechnology. 12(4). 611–619. 36 indexed citations

16.

Borkowski, Olivier, et al.. (2018). Cell-free prediction of protein expression costs for growing cells. Nature Communications. 9(1). 1457–1457. 82 indexed citations

17.

Blount, Benjamin A., Glen-Oliver F. Gowers, Rodrigo Ledesma‐Amaro, et al.. (2018). Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome. Nature Communications. 9(1). 1932–1932. 85 indexed citations

18.

Ceroni, Francesca & Tom Ellis. (2018). The challenges facing synthetic biology in eukaryotes. Nature Reviews Molecular Cell Biology. 19(8). 481–482. 15 indexed citations

19.

Öling, David, W. M. Shaw, Sonya Clark, et al.. (2018). Large Scale Synthetic Site Saturation GPCR Libraries Reveal Novel Mutations That Alter Glucose Signaling. ACS Synthetic Biology. 7(9). 2317–2321. 4 indexed citations

20.

Gilbert, Charlie, Mark Howarth, Colin R. Harwood, & Tom Ellis. (2017). Extracellular Self-Assembly of Functional and Tunable Protein Conjugates from Bacillus subtilis. ACS Synthetic Biology. 6(6). 957–967. 42 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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