Nathan J. Hillson

5.4k total citations
78 papers, 3.3k citations indexed

About

Nathan J. Hillson is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Nathan J. Hillson has authored 78 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 25 papers in Biomedical Engineering and 14 papers in Pharmacology. Recurrent topics in Nathan J. Hillson's work include Microbial Metabolic Engineering and Bioproduction (24 papers), Microbial Natural Products and Biosynthesis (14 papers) and CRISPR and Genetic Engineering (13 papers). Nathan J. Hillson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (24 papers), Microbial Natural Products and Biosynthesis (14 papers) and CRISPR and Genetic Engineering (13 papers). Nathan J. Hillson collaborates with scholars based in United States, Denmark and Spain. Nathan J. Hillson's co-authors include Jay D. Keasling, Christopher T. Walsh, Rafael D. Rosengarten, Anup K. Singh, Lucy Shapiro, Peter W. Kim, Christopher J. Petzold, Aindrila Mukhopadhyay, Changhao Bi and Paul D. Adams and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nathan J. Hillson

75 papers receiving 3.2k citations

Peers

Nathan J. Hillson

PHARM

GENET

BIOTE

Ting Lu United States

Yingping Zhuang China

Walter M. van Gulik Netherlands

Tae Seok Moon United States

Xueqin Lv China

John E. Dueber United States

Gyoo Yeol Jung South Korea

Tom Ellis United Kingdom

Keith E. J. Tyo United States

Howard M. Salis United States

Ting Lu United States

Nathan J. Hillson

2.3k ×0.9

656 ×0.8

194 ×0.4

PHARM

574 ×1.3

GENET

212 ×0.8

BIOTE

Citations per year, relative to Nathan J. Hillson Nathan J. Hillson (= 1×) peers Ting Lu

Countries citing papers authored by Nathan J. Hillson

Since Specialization

Citations

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

Fields of papers citing papers by Nathan J. Hillson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan J. Hillson. 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 Nathan J. Hillson. The network helps show where Nathan J. Hillson may publish in the future.

Co-authorship network of co-authors of Nathan J. Hillson

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Hillson. A scholar is included among the top collaborators of Nathan J. Hillson 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 Nathan J. Hillson. Nathan J. Hillson 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

Yeager, Chris M., Nathan J. Hillson, Vivek K. Mutalik, et al.. (2025). The tier system: a host development framework for bioengineering. Current Opinion in Biotechnology. 92. 103260–103260. 2 indexed citations

Jiang, Tian, et al.. (2025). Metabolic engineering and synthetic biology for the environment: from perspectives of biodetection, bioremediation, and biomanufacturing. 2(1). 1 indexed citations

Kamath, Ajith V., Geraldine Lee, Ha‐Neul Kim, et al.. (2025). Semi-automated biofoundry workflows for sequence coevolution-guided isoprene synthase engineering. Trends in biotechnology. 44(1). 220–238. 2 indexed citations

Kim, Haseong, Nathan J. Hillson, Byung‐Kwan Cho, et al.. (2025). Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications. Nature Communications. 16(1). 6056–6056.

Waldburger, Lucas, Gina M. Geiselman, Liam D. Kirkpatrick, et al.. (2024). Binary vector copy number engineering improves Agrobacterium-mediated transformation. Nature Biotechnology. 43(10). 1708–1716. 16 indexed citations

Torres-Tiji, Yasin, et al.. (2024). Bioinformatic Prediction and High Throughput In Vivo Screening to Identify Cis-Regulatory Elements for the Development of Algal Synthetic Promoters. ACS Synthetic Biology. 13(7). 2150–2165. 5 indexed citations

Chen, Yan, et al.. (2022). Modular automated bottom-up proteomic sample preparation for high-throughput applications. PLoS ONE. 17(2). e0264467–e0264467. 5 indexed citations

Radivojević, Tijana, Jose Manuel Martí, Tyler W. H. Backman, et al.. (2021). Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering. Frontiers in Bioengineering and Biotechnology. 9. 612893–612893. 17 indexed citations

Lawson, Christopher E., Jose Manuel Martí, Tijana Radivojević, et al.. (2020). Machine learning for metabolic engineering: A review. Metabolic Engineering. 63. 34–60. 191 indexed citations

10.

Arlow, Daniel H., Tristan de Rond, Sebastian Barthel, et al.. (2018). De novo DNA synthesis using polymerase-nucleotide conjugates. Nature Biotechnology. 36(7). 645–650. 216 indexed citations

11.

Pereira, J.H., Joseph C. Chen, Andy DeGiovanni, et al.. (2018). Jungle Express is a versatile repressor system for tight transcriptional control. Nature Communications. 9(1). 3617–3617. 39 indexed citations

12.

Iwai, Kosuke, David Ando, Peter W. Kim, et al.. (2018). Automated flow-based/digital microfluidic platform integrated with onsite electroporation process for multiplex genetic engineering applications. eScholarship (California Digital Library). 1229–1232. 2 indexed citations

13.

Rond, Tristan de, Rebecca Johnson, Leanne Jade G. Chan, et al.. (2017). Oxidative cyclization of prodigiosin by an alkylglycerol monooxygenase-like enzyme. Nature Chemical Biology. 13(11). 1155–1157. 23 indexed citations

14.

Linshiz, Gregory, Erik C. Jensen, Changhao Bi, et al.. (2016). End-to-end automated microfluidic platform for synthetic biology: from design to functional analysis. Journal of Biological Engineering. 10(1). 3–3. 57 indexed citations

15.

Geller, Jil T., Tamás Török, Cindy H. Wu, et al.. (2014). Characterization of Wastewater Treatment Plant Microbial Communities and the Effects of Carbon Sources on Diversity in Laboratory Models. PLoS ONE. 9(8). e105689–e105689. 8 indexed citations

16.

Bi, Changhao, Jana T. Müller, Yi-Chun Yeh, et al.. (2013). Development of a broad-host synthetic biology toolbox for ralstonia eutropha and its application to engineering hydrocarbon biofuel production. Microbial Cell Factories. 12(1). 107–107. 104 indexed citations

17.

Chen, Joanna, Douglas Densmore, Timothy S. Ham, Jay D. Keasling, & Nathan J. Hillson. (2012). DeviceEditor visual biological CAD canvas. Journal of Biological Engineering. 6(1). 1–1. 92 indexed citations

18.

Hicks, Leslie M., Carl J. Balibar, Christopher T. Walsh, Neil L. Kelleher, & Nathan J. Hillson. (2006). Probing Intra- versus Interchain Kinetic Preferences of L-Thr Acylation on Dimeric VibF with Mass Spectrometry. Biophysical Journal. 91(7). 2609–2619. 2 indexed citations

19.

Bassingthwaighte, James B., Ellen‐Marie Forsberg, Axel Visel, et al.. (2002). The Physiome Project: The Macroethics of Engineering toward Health. 22(3). 5 indexed citations

20.

Sieber, Stephan A., Uwe Linne, Nathan J. Hillson, et al.. (2002). Evidence for a Monomeric Structure of Nonribosomal Peptide Synthetases. Chemistry & Biology. 9(9). 997–1008. 34 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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