Jonathan A. Goler

926 total citations
10 papers, 671 citations indexed

About

Jonathan A. Goler is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Jonathan A. Goler has authored 10 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Sociology and Political Science. Recurrent topics in Jonathan A. Goler's work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (3 papers) and CRISPR and Genetic Engineering (2 papers). Jonathan A. Goler is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (3 papers) and CRISPR and Genetic Engineering (2 papers). Jonathan A. Goler collaborates with scholars based in United States. Jonathan A. Goler's co-authors include Jay D. Keasling, James M. Carothers, J. Christopher Anderson, Mariana Leguía, Adam P. Arkin, John E. Dueber, Gabriel C. Wu, Darmawi Juminaga, Jean Peccoud and Ted Selker and has published in prestigious journals such as Science, Nucleic Acids Research and Trends in biotechnology.

In The Last Decade

Jonathan A. Goler

9 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan A. Goler United States	7	589	168	85	37	34	10	671
Jarne Postmus Netherlands	6	476 0.8×	83 0.5×	94 1.1×	49 1.3×	33 1.0×	8	590
Iman Farasat United States	8	623 1.1×	134 0.8×	261 3.1×	35 0.9×	29 0.9×	8	776
Joel Osuna Mexico	15	416 0.7×	102 0.6×	52 0.6×	37 1.0×	56 1.6×	30	541
C.M. Miton Canada	11	471 0.8×	134 0.8×	140 1.6×	29 0.8×	84 2.5×	12	637
Tat‐Ming Lo Singapore	7	390 0.7×	108 0.6×	129 1.5×	50 1.4×	47 1.4×	8	494
Noah D. Taylor United States	6	858 1.5×	192 1.1×	156 1.8×	31 0.8×	27 0.8×	6	920
Sean Lynch United States	10	799 1.4×	222 1.3×	144 1.7×	37 1.0×	30 0.9×	16	923
Darmawi Juminaga United States	11	620 1.1×	122 0.7×	109 1.3×	19 0.5×	101 3.0×	13	680
Jameson K. Rogers United States	8	1.0k 1.7×	203 1.2×	213 2.5×	27 0.7×	42 1.2×	9	1.1k
Jim E. Horne United Kingdom	11	357 0.6×	154 0.9×	37 0.4×	41 1.1×	60 1.8×	16	490

Countries citing papers authored by Jonathan A. Goler

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan A. Goler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Goler. 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 Jonathan A. Goler. The network helps show where Jonathan A. Goler may publish in the future.

Co-authorship network of co-authors of Jonathan A. Goler

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

1.

Goler, Jonathan A., James M. Carothers, & Jay D. Keasling. (2014). Dual-Selection for Evolution of In Vivo Functional Aptazymes as Riboswitch Parts. Methods in molecular biology. 1111. 221–235. 8 indexed citations

2.

Carothers, James M., Jonathan A. Goler, Darmawi Juminaga, & Jay D. Keasling. (2011). Model-Driven Engineering of RNA Devices to Quantitatively Program Gene Expression. Science. 334(6063). 1716–1719. 146 indexed citations

3.

Carothers, James M., et al.. (2010). Selecting RNA aptamers for synthetic biology: investigating magnesium dependence and predicting binding affinity. Nucleic Acids Research. 38(8). 2736–2747. 68 indexed citations

4.

Anderson, J. Christopher, John E. Dueber, Mariana Leguía, et al.. (2010). BglBricks: A flexible standard for biological part assembly. Journal of Biological Engineering. 4(1). 1–1. 335 indexed citations

5.

Carothers, James M., Jonathan A. Goler, & Jay D. Keasling. (2009). Chemical synthesis using synthetic biology. Current Opinion in Biotechnology. 20(4). 498–503. 77 indexed citations

6.

Anderson, J. Christopher, John E. Dueber, Mariana Leguía, et al.. (2009). BBF RFC 21: BglBricks Assembly Standard. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

7.

Goler, Jonathan A., et al.. (2008). Genetic design: rising above the sequence. Trends in biotechnology. 26(10). 538–544. 24 indexed citations

8.

Selker, Ted, et al.. (2005). Who Does Better with a Big Interface? Improving Voting Performance of Reading for Disabled Voters. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

9.

Selker, Ted & Jonathan A. Goler. (2004). The SAVE System — Secure Architecture for Voting Electronically. BT Technology Journal. 22(4). 89–95. 9 indexed citations

10.

Donath, Judith, et al.. (2000). Loom2 – Intuitively Visualizing Usenet. 2 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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