Mike Firth

1.8k total citations · 1 hit paper
23 papers, 579 citations indexed

About

Mike Firth is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Mike Firth has authored 23 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Cancer Research. Recurrent topics in Mike Firth's work include CRISPR and Genetic Engineering (11 papers), RNA regulation and disease (5 papers) and Computational Drug Discovery Methods (4 papers). Mike Firth is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA regulation and disease (5 papers) and Computational Drug Discovery Methods (4 papers). Mike Firth collaborates with scholars based in United Kingdom, Sweden and Germany. Mike Firth's co-authors include Ben Taylor, Filippos Michopoulos, Susan E. Critchlow, Maria Emanuela Cuomo, Matthew A. Coelho, Ola Engkvist, Sebastian Łukasiak, Haihong Zhong, Clare Murray and Paul D. Smith and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Nanotechnology.

In The Last Decade

Mike Firth

23 papers receiving 573 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.

Customizable virus-like particles deliver CRISPR–Cas9 ribonucleoprotein for effective ocular neovascular and Huntington’s disease gene therapy

2025 18 citations Sikai Ling, Xue Zhang et al. Nature Nanotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike Firth United Kingdom	13	466	117	54	49	45	23	579
Junmei Cairns United States	13	374 0.8×	133 1.1×	55 1.0×	50 1.0×	117 2.6×	28	604
Yudong Wang China	13	358 0.8×	122 1.0×	36 0.7×	71 1.4×	70 1.6×	28	563
Diego Alonso‐López Spain	9	351 0.8×	77 0.7×	44 0.8×	62 1.3×	92 2.0×	14	529
Sora Yoon South Korea	15	429 0.9×	99 0.8×	61 1.1×	22 0.4×	39 0.9×	28	597
Emanuel Gonçalves United Kingdom	17	757 1.6×	179 1.5×	87 1.6×	84 1.7×	131 2.9×	31	940
Chi‐Chuan Lin United Kingdom	15	447 1.0×	50 0.4×	46 0.9×	21 0.4×	73 1.6×	21	578
Fumi Shima Japan	17	859 1.8×	50 0.4×	45 0.8×	36 0.7×	99 2.2×	26	1.0k
Mark R. Woodford United States	17	780 1.7×	102 0.9×	30 0.6×	71 1.4×	61 1.4×	45	914
Bernhard C. Lechtenberg United States	17	558 1.2×	72 0.6×	55 1.0×	31 0.6×	128 2.8×	26	810

Countries citing papers authored by Mike Firth

Since Specialization

Citations

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

Fields of papers citing papers by Mike Firth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Firth

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

Thom, George, Sandra Wimberger, Mike Firth, et al.. (2025). Dual inhibition of DNA-PK and Polϴ boosts precision of diverse prime editing systems. Nature Communications. 16(1). 4290–4290. 1 indexed citations

Ling, Sikai, Xue Zhang, Yao Dai, et al.. (2025). Customizable virus-like particles deliver CRISPR–Cas9 ribonucleoprotein for effective ocular neovascular and Huntington’s disease gene therapy. Nature Nanotechnology. 20(4). 543–553. 18 indexed citations breakdown →

Madeyski-Bengtson, Katja, Euan Gordon, George Thom, et al.. (2025). Modified pegRNAs mitigate scaffold-derived prime editing by-products. Nature Communications. 16(1). 3374–3374. 2 indexed citations

Ivanova, Alena, Mike Firth, Hernán González‐King, et al.. (2025). Barcoded Hybrids of Extracellular Vesicles and Lipid Nanoparticles for Multiplexed Analysis of Tissue Distribution. Advanced Science. 12(10). e2407850–e2407850. 6 indexed citations

Kohl, Franziska, Mike Firth, Lauri Eklund, et al.. (2024). Identification of cell type-specific cell-penetrating peptides through in vivo phage display leveraged by next generation sequencing. Biomedicine & Pharmacotherapy. 182. 117740–117740. 1 indexed citations

Ivanova, Alena, Franziska Kohl, Hernán González‐King, et al.. (2024). In vivo phage display identifies novel peptides for cardiac targeting. Scientific Reports. 14(1). 12177–12177. 6 indexed citations

Lundin, Anders, et al.. (2024). Optimized prime editing of the Alzheimer’s disease-associated APOE4 mutation. Stem Cell Reports. 20(1). 102372–102372. 4 indexed citations

Peterka, Martin, Nina Akrap, Songyuan Li, et al.. (2022). Harnessing DSB repair to promote efficient homology-dependent and -independent prime editing. Nature Communications. 13(1). 1240–1240. 33 indexed citations

Osteikoetxea, Xabier, Andreia Silva, Elisa Lázaro‐Ibáñez, et al.. (2022). Engineered Cas9 extracellular vesicles as a novel gene editing tool. Journal of Extracellular Vesicles. 11(5). e12225–e12225. 86 indexed citations

10.

Svensson, Anna, Mohammad Bohlooly‐Y, Mike Firth, et al.. (2021). Rapid target validation in a Cas9-inducible hiPSC derived kidney model. Scientific Reports. 11(1). 16532–16532. 18 indexed citations

11.

Coelho, Matthew A., Étienne De Braekeleer, Mike Firth, et al.. (2020). CRISPR GUARD protects off-target sites from Cas9 nuclease activity using short guide RNAs. Nature Communications. 11(1). 4132–4132. 58 indexed citations

12.

OʼShea, Patrick, Jan Wildenhain, Chetana M. Revankar, et al.. (2020). A Novel Screening Approach for the Dissection of Cellular Regulatory Networks of NF-κB Using Arrayed CRISPR gRNA Libraries. SLAS DISCOVERY. 25(6). 618–633. 1 indexed citations

13.

Guerriero, Maria Luisa, Adam Corrigan, Aurélie Bornot, et al.. (2020). Delivering Robust Candidates to the Drug Pipeline through Computational Analysis of Arrayed CRISPR Screens. SLAS DISCOVERY. 25(6). 646–654. 5 indexed citations

14.

Ding, Mei, Alleyn T. Plowright, Ola Engkvist, et al.. (2018). High-content phenotypic assay for proliferation of human iPSC-derived cardiomyocytes identifies L-type calcium channels as targets. Journal of Molecular and Cellular Cardiology. 127. 204–214. 21 indexed citations

15.

Coelho, Matthew A., Songyuan Li, Luna Simona Pane, et al.. (2018). BE-FLARE: a fluorescent reporter of base editing activity reveals editing characteristics of APOBEC3A and APOBEC3B. BMC Biology. 16(1). 150–150. 37 indexed citations

16.

Mervin, Lewis, Krishna C. Bulusu, Avid M. Afzal, et al.. (2017). Orthologue chemical space and its influence on target prediction. Bioinformatics. 34(1). 72–79. 23 indexed citations

17.

Michopoulos, Filippos, Niki Karagianni, Mike Firth, et al.. (2016). Targeted Metabolic Profiling of the Tg197 Mouse Model Reveals Itaconic Acid as a Marker of Rheumatoid Arthritis. Journal of Proteome Research. 15(12). 4579–4590. 36 indexed citations

18.

Mervin, Lewis, Qing Cao, Ian P. Barrett, et al.. (2016). Understanding Cytotoxicity and Cytostaticity in a High-Throughput Screening Collection. ACS Chemical Biology. 11(11). 3007–3023. 32 indexed citations

19.

Clark, David E., Mike Firth, & Christopher W. Murray. (1996). MOLMAKER: De Novo Generation of 3D Databases for Use in Drug Design. Journal of Chemical Information and Computer Sciences. 36(1). 137–145. 14 indexed citations

20.

Jackson, P., et al.. (1986). Movement of Fibres between Working Areas as a Result of Routine Examination of Garments. Journal of the Forensic Science Society. 26(6). 433–440. 9 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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