Andrew J. Hirning

609 total citations
10 papers, 402 citations indexed

About

Andrew J. Hirning is a scholar working on Molecular Biology, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Andrew J. Hirning has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Andrew J. Hirning's work include Gene Regulatory Network Analysis (8 papers), 3D Printing in Biomedical Research (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Andrew J. Hirning is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), 3D Printing in Biomedical Research (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Andrew J. Hirning collaborates with scholars based in United States and South Korea. Andrew J. Hirning's co-authors include Krešimir Josić́, Matthew R. Bennett, Ye Chen, Jae Kyoung Kim, Razan N. Alnahhas, William Ott, Chinmaya Gupta, Kathleen S. Matthews, Alan Veliz‐Cuba and Mehdi Sadeghpour and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew J. Hirning

9 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew J. Hirning United States	6	319	128	90	47	32	10	402
Razan N. Alnahhas United States	8	184 0.6×	73 0.6×	44 0.5×	23 0.5×	47 1.5×	13	258
Rosa Martinez-Corral United States	8	246 0.8×	73 0.6×	57 0.6×	85 1.8×	15 0.5×	16	399
Steffen Fehrmann France	9	317 1.0×	66 0.5×	109 1.2×	53 1.1×	30 0.9×	11	424
Antoni Matyjaszkiewicz United Kingdom	8	200 0.6×	82 0.6×	70 0.8×	22 0.5×	24 0.8×	9	268
Paul K. Grant United Kingdom	9	202 0.6×	37 0.3×	49 0.5×	48 1.0×	13 0.4×	11	300
Julien Dubuis United States	8	297 0.9×	34 0.3×	60 0.7×	30 0.6×	24 0.8×	8	395
Marc Rullan Switzerland	6	319 1.0×	88 0.7×	54 0.6×	85 1.8×	54 1.7×	6	385
Chinmaya Gupta United States	9	227 0.7×	35 0.3×	75 0.8×	16 0.3×	11 0.3×	12	328
Bruno M.C. Martins United Kingdom	7	189 0.6×	29 0.2×	54 0.6×	39 0.8×	25 0.8×	11	264
Henry H. Mattingly United States	8	123 0.4×	64 0.5×	41 0.5×	9 0.2×	18 0.6×	15	250

Countries citing papers authored by Andrew J. Hirning

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Hirning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Hirning

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

All Works

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10 of 10 papers shown

Peng, Xiao, et al.. (2025). Long-term homeostasis in microbial consortia via auxotrophic cross-feeding. Nature Communications. 16(1). 8573–8573.

Alnahhas, Razan N., et al.. (2023). Indirect Enrichment of Desirable, but Less Fit Phenotypes, from a Synthetic Microbial Community Using Microdroplet Confinement. ACS Synthetic Biology. 12(4). 1239–1251. 3 indexed citations

Zong, David M., Mehdi Sadeghpour, Razan N. Alnahhas, et al.. (2023). Tunable Dynamics in a Multistrain Transcriptional Pulse Generator. ACS Synthetic Biology. 12(12). 3531–3543. 5 indexed citations

Kim, Jae Kyoung, Ye Chen, Andrew J. Hirning, et al.. (2019). Long-range temporal coordination of gene expression in synthetic microbial consortia. Nature Chemical Biology. 15(11). 1102–1109. 45 indexed citations

Alnahhas, Razan N., et al.. (2019). Spatiotemporal Dynamics of Synthetic Microbial Consortia in Microfluidic Devices. ACS Synthetic Biology. 8(9). 2051–2058. 40 indexed citations

Hirning, Andrew J., et al.. (2017). The Timing of Transcriptional Regulation in Synthetic Gene Circuits. ACS Synthetic Biology. 6(11). 1996–2002. 17 indexed citations

Chen, Ye, Jae Kyoung Kim, Andrew J. Hirning, Krešimir Josić́, & Matthew R. Bennett. (2015). Emergent genetic oscillations in a synthetic microbial consortium. Science. 349(6251). 986–989. 222 indexed citations

Veliz‐Cuba, Alan, et al.. (2015). Sources of Variability in a Synthetic Gene Oscillator. PLoS Computational Biology. 11(12). e1004674–e1004674. 14 indexed citations

Gupta, Chinmaya, Andrew J. Hirning, William Ott, et al.. (2014). Engineered temperature compensation in a synthetic genetic clock. Proceedings of the National Academy of Sciences. 111(3). 972–977. 52 indexed citations

10.

Doezema, Lambert A., et al.. (2009). The influence of sampling protocol on nonmethane hydrocarbon mixing ratios. Atmospheric Environment. 44(7). 900–908. 4 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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