Thomas E. Kuhlman
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 11
- CRISPR and Genetic Engineering 6
- Gene Regulatory Network Analysis 5
- RNA Research and Splicing 3
- Genetics 11
- Bacterial Genetics and Biotechnology 9
- Evolution and Genetic Dynamics 2
- Co-authors
- Edward C. Cox (4 shared papers)Terence Hwa (4 shared papers)Zhongge Zhang (3 shared papers)Erel Levine (2 shared papers)Milton H. Saier (1 shared paper)Hernán G. García (2 shared papers)Rob Phillips (2 shared papers)Jané Kondev (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)eLife (2 papers)PLoS Biology (2 papers)Scientific Reports (2 papers)Current Opinion in Genetics & Development (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Thomas E. Kuhlman
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 640
- Molecular Biology 1.3k
- Biophysics 66
- Endocrinology 46
- Ecology 189
Countries citing papers authored by Thomas E. Kuhlman
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
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-authors
The 25 scholars most cited alongside Thomas E. Kuhlman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 305 | |
| 2 | 2005 | 281 | |
| 3 | 2010 | 213 | |
| 4 | 2007 | 181 | |
| 5 | 2012 | 106 | |
| 6 | 2017 | 95 | |
| 7 | 2015 | 84 | |
| 8 | 2017 | 61 | |
| 9 | 2010 | 33 | |
| 10 | 2014 | 29 | |
| 11 | 2015 | 25 | |
| 12 | 1986 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2016 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2013 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 5 |
About Thomas E. Kuhlman
Thomas E. Kuhlman is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Infectious Diseases, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Bacterial Genetics and Biotechnology (9 papers), CRISPR and Genetic Engineering (6 papers), Gene Regulatory Network Analysis (5 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (3 papers), Bacteriophages and microbial interactions (3 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Genetics (640 citations), Molecular Biology (1.3k citations), Biophysics (66 citations), Endocrinology (46 citations) and Ecology (189 citations). Thomas E. Kuhlman has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Edward C. Cox, Terence Hwa, Zhongge Zhang, Erel Levine, Milton H. Saier, Hernán G. García, Rob Phillips, Jané Kondev, Nicolas E. Buchler and Lacramioara Bintu. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, PLoS Biology, Scientific Reports and Current Opinion in Genetics & Development.
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.