Ian Wheeldon

5.0k total citations · 2 hit papers
88 papers, 3.9k citations indexed

About

Ian Wheeldon is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ian Wheeldon has authored 88 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 19 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Ian Wheeldon's work include Microbial Metabolic Engineering and Bioproduction (36 papers), CRISPR and Genetic Engineering (24 papers) and RNA and protein synthesis mechanisms (18 papers). Ian Wheeldon is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (36 papers), CRISPR and Genetic Engineering (24 papers) and RNA and protein synthesis mechanisms (18 papers). Ian Wheeldon collaborates with scholars based in United States, Canada and China. Ian Wheeldon's co-authors include Scott Banta, Cory Schwartz, Jyun‐Liang Lin, Mark Blenner, Scott Calabrese Barton, Plamen Atanassov, Matthew S. Sigman, Shelley D. Minteer, Ann‐Kathrin Löbs and Murtaza Hussain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Nucleic Acids Research.

In The Last Decade

Ian Wheeldon

83 papers receiving 3.9k citations

Hit Papers

Substrate channelling as an approach to cascade reactions 2016 2026 2019 2022 2016 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Wheeldon United States 35 2.7k 1.2k 455 379 308 88 3.9k
Min‐Kyu Oh South Korea 40 3.1k 1.1× 1.8k 1.5× 325 0.7× 440 1.2× 395 1.3× 157 4.3k
Jae Ho Shin South Korea 21 1.6k 0.6× 1.2k 1.0× 428 0.9× 376 1.0× 339 1.1× 47 2.9k
Leilei Zhu China 28 1.3k 0.5× 854 0.7× 214 0.5× 228 0.6× 256 0.8× 80 2.2k
Raja Ghosh Canada 32 1.7k 0.6× 1.8k 1.5× 490 1.1× 278 0.7× 335 1.1× 175 3.8k
Benevides C. Pessela Spain 32 3.0k 1.1× 830 0.7× 878 1.9× 281 0.7× 306 1.0× 94 3.5k
John Cort United States 32 1.5k 0.6× 1.1k 0.9× 111 0.2× 447 1.2× 222 0.7× 98 3.1k
Haruo Takahashi Japan 29 1.5k 0.5× 1.0k 0.9× 332 0.7× 502 1.3× 402 1.3× 75 2.7k
Lorena Betancor Spain 35 3.1k 1.1× 854 0.7× 1.3k 2.8× 497 1.3× 585 1.9× 75 4.0k
Pil Kim South Korea 38 1.2k 0.5× 729 0.6× 685 1.5× 1.2k 3.1× 177 0.6× 138 3.8k

Countries citing papers authored by Ian Wheeldon

Since Specialization
Citations

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

Fields of papers citing papers by Ian Wheeldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Wheeldon

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Wheeldon. A scholar is included among the top collaborators of Ian Wheeldon 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 Ian Wheeldon. Ian Wheeldon 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.
Tian, Hao, Jesús Beltrán, Zoe H. Davis, et al.. (2025). Unusually broad-spectrum small-molecule sensing using a single protein scaffold. Proceedings of the National Academy of Sciences. 122(51). e2519924122–e2519924122.
2.
Chartron, Justin W., et al.. (2025). Ribo-seq guided design of enhanced protein secretion in Komagataella phaffii. Metabolic Engineering. 91. 228–241.
3.
Liu, Xinzhan, et al.. (2025). Kingdom-wide CRISPR guide design with ALLEGRO. Nucleic Acids Research. 53(15).
4.
Lee, Sang Cheon, et al.. (2024). Optimized genome-wide CRISPR screening enables rapid engineering of growth-based phenotypes in Yarrowia lipolytica. Metabolic Engineering. 86. 55–65. 7 indexed citations
5.
Lee, Sang Cheon, et al.. (2024). Genome Editing, Transcriptional Regulation, and Forward Genetic Screening Using CRISPR-Cas12a Systems in Yarrowia lipolytica. Methods in molecular biology. 2760. 169–198. 1 indexed citations
6.
Park, Sang‐Youl, Francis C. Peterson, Jesús Beltrán, et al.. (2023). An orthogonalized PYR1-based CID module with reprogrammable ligand-binding specificity. Nature Chemical Biology. 20(1). 103–110. 20 indexed citations
7.
Li, Zongbo, Jesús Beltrán, Hao Tian, et al.. (2023). High-Performance Cannabinoid Sensor Empowered by Plant Hormone Receptors and Antifouling Magnetic Nanorods. ACS Sensors. 8(10). 3914–3922. 2 indexed citations
8.
Wheeldon, Ian, et al.. (2023). Analyzing CRISPR screens in non-conventional microbes. Journal of Industrial Microbiology & Biotechnology. 50(1). 6 indexed citations
9.
Iddya, Arpita, Piotr Zarzycki, Ryan Kingsbury, et al.. (2022). A reverse-selective ion exchange membrane for the selective transport of phosphates via an outer-sphere complexation–diffusion pathway. Nature Nanotechnology. 17(11). 1222–1228. 37 indexed citations
10.
Schwartz, Cory, et al.. (2022). Genome-wide functional screens enable the prediction of high activity CRISPR-Cas9 and -Cas12a guides in Yarrowia lipolytica. Nature Communications. 13(1). 922–922. 34 indexed citations
11.
Wheeldon, Ian, et al.. (2022). RNA polymerase II-driven CRISPR-Cas9 system for efficient non-growth-biased metabolic engineering of Kluyveromyces marxianus. Metabolic Engineering Communications. 15. e00208–e00208. 9 indexed citations
12.
Hong, Xiao, et al.. (2021). Microenvironmental effects can masquerade as substrate channelling in cascade biocatalysis. Current Opinion in Biotechnology. 73. 233–239. 33 indexed citations
13.
Li, Mengwan, et al.. (2020). Developing a broad-range promoter set for metabolic engineering in the thermotolerant yeast Kluyveromyces marxianus. Metabolic Engineering Communications. 11. e00145–e00145. 17 indexed citations
14.
Schwartz, Cory, Jan‐Fang Cheng, Robert S. Evans, et al.. (2019). Validating genome-wide CRISPR-Cas9 function improves screening in the oleaginous yeast Yarrowia lipolytica. Metabolic Engineering. 55. 102–110. 74 indexed citations
15.
Bulutoglu, Beyza, et al.. (2019). Enzyme colocalization in protein-based hydrogels. Methods in enzymology on CD-ROM/Methods in enzymology. 617. 265–285. 6 indexed citations
16.
Schwartz, Cory & Ian Wheeldon. (2018). CRISPR-Cas9-Mediated Genome Editing and Transcriptional Control in Yarrowia lipolytica. Methods in molecular biology. 1772. 327–345. 22 indexed citations
17.
Wheeldon, Ian, Shelley D. Minteer, Scott Banta, et al.. (2016). Substrate channelling as an approach to cascade reactions. Nature Chemistry. 8(4). 299–309. 560 indexed citations breakdown →
18.
Zhu, Jie, et al.. (2015). Microbial host selection affects intracellular localization and activity of alcohol-O-acetyltransferase. Microbial Cell Factories. 14(1). 35–35. 30 indexed citations
19.
Lin, Jyun‐Liang, et al.. (2013). Design and Analysis of Enhanced Catalysis in Scaffolded Multienzyme Cascade Reactions. ACS Catalysis. 4(2). 505–511. 122 indexed citations
20.
Wu, Jinhui, Ian Wheeldon, Yuqi Guo, et al.. (2010). A sandwiched microarray platform for benchtop cell-based high throughput screening. Biomaterials. 32(3). 841–848. 52 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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