Nicholas Roehner

1.3k total citations
27 papers, 502 citations indexed

About

Nicholas Roehner is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Nicholas Roehner has authored 27 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Nicholas Roehner's work include Gene Regulatory Network Analysis (26 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and CRISPR and Genetic Engineering (7 papers). Nicholas Roehner is often cited by papers focused on Gene Regulatory Network Analysis (26 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and CRISPR and Genetic Engineering (7 papers). Nicholas Roehner collaborates with scholars based in United States, United Kingdom and Spain. Nicholas Roehner's co-authors include Chris J. Myers, Curtis Madsen, Douglas Densmore, Tramy Nguyen, Evan Appleton, Zach Zundel, Christopher A. Voigt, Kevin Clancy, Ernst Oberortner and Göksel Mısırlı and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Proceedings of the IEEE.

In The Last Decade

Nicholas Roehner

27 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Roehner United States 15 468 68 46 46 45 27 502
Curtis Madsen United States 13 471 1.0× 78 1.1× 47 1.0× 49 1.1× 43 1.0× 23 520
James Alastair McLaughlin United Kingdom 11 364 0.8× 57 0.8× 61 1.3× 27 0.6× 30 0.7× 22 392
Zach Zundel United States 8 283 0.6× 33 0.5× 52 1.1× 29 0.6× 19 0.4× 13 296
Ernst Oberortner United States 12 324 0.7× 41 0.6× 48 1.0× 52 1.1× 35 0.8× 28 412
Tramy Nguyen United States 11 277 0.6× 29 0.4× 41 0.9× 20 0.4× 19 0.4× 15 290
Gregory Linshiz Israel 10 269 0.6× 34 0.5× 14 0.3× 8 0.2× 151 3.4× 18 402
Barry Canton United States 4 664 1.4× 189 2.8× 4 0.1× 31 0.7× 97 2.2× 5 726
Hüseyin Taş United Kingdom 7 163 0.3× 48 0.7× 3 0.1× 23 0.5× 79 1.8× 9 249
Jacob R. Rubens United States 5 420 0.9× 62 0.9× 2 0.0× 27 0.6× 103 2.3× 5 493
Jannis Uhlendorf Germany 8 368 0.8× 27 0.4× 13 0.3× 9 0.2× 79 1.8× 13 437

Countries citing papers authored by Nicholas Roehner

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Roehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Roehner

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Roehner. A scholar is included among the top collaborators of Nicholas Roehner 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 Nicholas Roehner. Nicholas Roehner 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.
Beal, Jacob, et al.. (2023). Standardized Representation of Parts and Assembly for Build Planning. ACS Synthetic Biology. 12(12). 3646–3655. 2 indexed citations
2.
Bartley, Bryan, et al.. (2021). Engineered yeast genomes accurately assembled from pure and mixed samples. Nature Communications. 12(1). 1485–1485. 13 indexed citations
3.
Roehner, Nicholas, et al.. (2021). Curation Principles Derived from the Analysis of the SBOL iGEM Data Set. ACS Synthetic Biology. 10(10). 2592–2606. 3 indexed citations
4.
Roehner, Nicholas, Bryan Bartley, Jacob Beal, et al.. (2019). Specifying Combinatorial Designs with the Synthetic Biology Open Language (SBOL). ACS Synthetic Biology. 8(7). 1519–1523. 2 indexed citations
5.
Nguyen, Tramy, Michael Zhang, Zach Zundel, et al.. (2018). iBioSim 3: A Tool for Model-Based Genetic Circuit Design. ACS Synthetic Biology. 8(7). 1560–1563. 51 indexed citations
6.
Appleton, Evan, Curtis Madsen, Nicholas Roehner, & Douglas Densmore. (2017). Design Automation in Synthetic Biology. Cold Spring Harbor Perspectives in Biology. 9(4). a023978–a023978. 56 indexed citations
7.
Appleton, Evan, Douglas Densmore, Curtis Madsen, & Nicholas Roehner. (2017). Needs and opportunities in bio-design automation: four areas for focus. Current Opinion in Chemical Biology. 40. 111–118. 18 indexed citations
8.
Roehner, Nicholas, Jacob Beal, Kevin Clancy, et al.. (2016). Sharing Structure and Function in Biological Design with SBOL 2.0. ACS Synthetic Biology. 5(6). 498–506. 59 indexed citations
9.
Roehner, Nicholas, Eric M. Young, Christopher A. Voigt, D. Benjamin Gordon, & Douglas Densmore. (2016). Double Dutch: A Tool for Designing Combinatorial Libraries of Biological Systems. ACS Synthetic Biology. 5(6). 507–517. 23 indexed citations
10.
Woodruff, Lauren B.A., Thomas E. Gorochowski, Nicholas Roehner, et al.. (2016). Registry in a tube: multiplexed pools of retrievable parts for genetic design space exploration. Nucleic Acids Research. 45(3). gkw1226–gkw1226. 37 indexed citations
11.
Bartley, Bryan, Kevin Clancy, Göksel Mısırlı, et al.. (2015). Synthetic Biology Open Language (SBOL) Version 2.0.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 902–991. 22 indexed citations
12.
Bartley, Bryan, Kevin Clancy, Göksel Mısırlı, et al.. (2015). BBF RFC 108: Synthetic Biology Open Language (SBOL) Version 2.0.0. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
13.
Nguyen, Tramy, Nicholas Roehner, Zach Zundel, & Chris J. Myers. (2015). A Converter from the Systems Biology Markup Language to the Synthetic Biology Open Language. ACS Synthetic Biology. 5(6). 479–486. 13 indexed citations
14.
Zhang, Zhen, Tramy Nguyen, Nicholas Roehner, et al.. (2015). libSBOLj 2.0: A Java Library to Support SBOL 2.0. Digital Commons - USU (Utah State University). 1(4). 34–37. 22 indexed citations
15.
Bartley, Bryan, Jacob Beal, Kevin Clancy, et al.. (2015). Synthetic Biology Open Language (SBOL) Version 2.0.0. PubMed. 12(2). 272–272. 23 indexed citations
16.
Myers, Chris J., Kevin Clancy, Göksel Mısırlı, et al.. (2014). The Synthetic Biology Open Language. Methods in molecular biology. 1244. 323–336. 5 indexed citations
17.
Madsen, Curtis, et al.. (2014). Stochastic Model Checking of Genetic Circuits. ACM Journal on Emerging Technologies in Computing Systems. 11(3). 1–21. 7 indexed citations
18.
Roehner, Nicholas, Ernst Oberortner, Matthew Pocock, et al.. (2014). Proposed Data Model for the Next Version of the Synthetic Biology Open Language. ACS Synthetic Biology. 4(1). 57–71. 20 indexed citations
19.
Roehner, Nicholas & Chris J. Myers. (2013). A Methodology to Annotate Systems Biology Markup Language Models with the Synthetic Biology Open Language. ACS Synthetic Biology. 3(2). 57–66. 27 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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