Thomas E. Kuhlman

2.1k total citations
24 papers, 1.5k citations indexed

About

Thomas E. Kuhlman is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Thomas E. Kuhlman has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Genetics and 3 papers in Ecology. Recurrent topics in Thomas E. Kuhlman's work include RNA and protein synthesis mechanisms (11 papers), Bacterial Genetics and Biotechnology (9 papers) and CRISPR and Genetic Engineering (6 papers). Thomas E. Kuhlman is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Bacterial Genetics and Biotechnology (9 papers) and CRISPR and Genetic Engineering (6 papers). Thomas E. Kuhlman collaborates with scholars based in United States, Germany and Russia. Thomas E. Kuhlman's co-authors include Edward C. Cox, Terence Hwa, Zhongge Zhang, Erel Levine, Milton H. Saier, Rob Phillips, Jané Kondev, Hernán G. García, Ulrich Gerland and Lacramioara Bintu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Thomas E. Kuhlman

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas E. Kuhlman United States	13	1.3k	661	194	103	77	24	1.5k
Iren Kurtser United States	9	1.5k 1.1×	848 1.3×	266 1.4×	103 1.0×	102 1.3×	9	1.7k
Bei‐Wen Ying Japan	21	1.2k 0.9×	612 0.9×	198 1.0×	125 1.2×	60 0.8×	61	1.5k
Hédia Maamar United States	11	1.1k 0.9×	480 0.7×	126 0.6×	162 1.6×	88 1.1×	14	1.6k
Nigel J. Savery United Kingdom	25	1.7k 1.3×	1.0k 1.5×	228 1.2×	155 1.5×	85 1.1×	58	1.9k
Huiyi Chen China	8	1.5k 1.2×	581 0.9×	173 0.9×	249 2.4×	60 0.8×	16	1.9k
Stephen A. Chervitz United States	13	1.3k 1.0×	562 0.9×	144 0.7×	54 0.5×	157 2.0×	16	1.6k
Alexandre Colavin United States	12	922 0.7×	646 1.0×	291 1.5×	47 0.5×	54 0.7×	14	1.2k
Benjamin Volkmer Switzerland	7	1.2k 0.9×	529 0.8×	160 0.8×	165 1.6×	29 0.4×	9	1.4k
Lydia Robert France	13	899 0.7×	581 0.9×	164 0.8×	322 3.1×	58 0.8×	19	1.4k
Alexi I. Goranov United States	12	648 0.5×	384 0.6×	145 0.7×	138 1.3×	95 1.2×	13	967

Countries citing papers authored by Thomas E. Kuhlman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas E. Kuhlman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Kuhlman. 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 Thomas E. Kuhlman. The network helps show where Thomas E. Kuhlman may publish in the future.

Co-authorship network of co-authors of Thomas E. Kuhlman

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Kuhlman. A scholar is included among the top collaborators of Thomas E. Kuhlman 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 Thomas E. Kuhlman. Thomas E. Kuhlman 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

Kuhlman, Thomas E., et al.. (2025). A low-cost stage-top incubation device for live human cell imaging using rapid prototyping methods. AIMS Biophysics. 12(2). 164–173.

Zhang, Yuanzhong, Siyu Li, Michael Colvin, et al.. (2024). Synthesis, insertion, and characterization of SARS-CoV-2 membrane protein within lipid bilayers. Science Advances. 10(9). eadm7030–eadm7030. 6 indexed citations

Kuhlman, Thomas E.. (2024). How mutations affect function. eLife. 13. 1 indexed citations

Kuhlman, Thomas E.. (2023). Repetitive DNA regulates gene expression. Science. 381(6664). 1289–1290. 1 indexed citations

Kuhlman, Thomas E., et al.. (2021). Targeted insertion of large genetic payloads using cas directed LINE-1 reverse transcriptase. Scientific Reports. 11(1). 23625–23625. 4 indexed citations

Lee, Gloria, et al.. (2018). Testing the retroelement invasion hypothesis for the emergence of the ancestral eukaryotic cell. Proceedings of the National Academy of Sciences. 115(49). 12465–12470. 9 indexed citations

Englaender, Jacob A., J. Andrew Jones, Brady F. Cress, et al.. (2017). Effect of Genomic Integration Location on Heterologous Protein Expression and Metabolic Engineering in E. coli. ACS Synthetic Biology. 6(4). 710–720. 91 indexed citations

Lee, Gloria, et al.. (2016). Real-time transposable element activity in individual live cells. Proceedings of the National Academy of Sciences. 113(26). 7278–7283. 12 indexed citations

Earnest, Tyler M., et al.. (2016). Ribosome biogenesis in replicating cells: Integration of experiment and theory. Biopolymers. 105(10). 735–751. 12 indexed citations

10.

Zhang, Jichuan, Jingyi Fei, Benjamin J. Leslie, et al.. (2015). Tandem Spinach Array for mRNA Imaging in Living Bacterial Cells. Scientific Reports. 5(1). 17295–17295. 84 indexed citations

11.

Taş, Hüseyin, et al.. (2015). An Integrated System for Precise Genome Modification in Escherichia coli. PLoS ONE. 10(9). e0136963–e0136963. 25 indexed citations

12.

Kuhlman, Thomas E. & Edward C. Cox. (2013). DNA-binding-protein inhomogeneity inE.colimodeled as biphasic facilitated diffusion. Physical Review E. 88(2). 22701–22701. 10 indexed citations

13.

Kuhlman, Thomas E. & Edward C. Cox. (2012). Gene location and DNA density determine transcription factor distributions in Escherichia coli. Molecular Systems Biology. 8(1). 610–610. 106 indexed citations

14.

García, Hernán G., Álvaro Sánchez, Thomas E. Kuhlman, Jané Kondev, & Rob Phillips. (2010). Transcription by the numbers redux: experiments and calculations that surprise. Trends in Cell Biology. 20(12). 723–733. 33 indexed citations

15.

Kuhlman, Thomas E. & Edward C. Cox. (2010). A place for everything. PubMed. 1(4). 298–301. 18 indexed citations

16.

Kuhlman, Thomas E. & Edward C. Cox. (2010). Site-specific chromosomal integration of large synthetic constructs. Nucleic Acids Research. 38(6). e92–e92. 208 indexed citations

17.

Levine, Erel, Zhongge Zhang, Thomas E. Kuhlman, & Terence Hwa. (2008). Correction: Quantitative Characteristics of Gene Regulation by Small RNA. PLoS Biology. 6(1). e5–e5. 4 indexed citations

18.

Kuhlman, Thomas E., Zhongge Zhang, Milton H. Saier, & Terence Hwa. (2007). Combinatorial transcriptional control of the lactose operon of Escherichia coli. Proceedings of the National Academy of Sciences. 104(14). 6043–6048. 179 indexed citations

19.

Levine, Erel, Zhongge Zhang, Thomas E. Kuhlman, & Terence Hwa. (2007). Quantitative Characteristics of Gene Regulation by Small RNA. PLoS Biology. 5(9). e229–e229. 305 indexed citations

20.

Bintu, Lacramioara, Nicolas E. Buchler, Hernán G. García, et al.. (2005). Transcriptional regulation by the numbers: applications. Current Opinion in Genetics & Development. 15(2). 125–135. 279 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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