Ronald L. Somerville
- Molecular Biology top 5%
- Genetics top 2%
- Materials Chemistry top 10%
- Biochemistry top 2%
- Ecology top 10%
- Co-authors
- Klaus M. HerrmannCharles YanofskyGordon R. GreenbergGregg BogosianJonathan KuhnW RoederL. NiKeith Brown
- Topics
- Bacterial Genetics and Biotechnology (37 papers)RNA and protein synthesis mechanisms (27 papers)Enzyme Structure and Function (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesJapanAustria
In The Last Decade
Ronald L. Somerville
79 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.7k
- Genetics 840
- Materials Chemistry 430
- Biochemistry 256
- Ecology 216
Countries citing papers authored by Ronald L. Somerville
This map shows the geographic impact of Ronald L. Somerville'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 Ronald L. Somerville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald L. Somerville more than expected).
Fields of papers citing papers by Ronald L. Somerville
This network shows the impact of papers produced by Ronald L. Somerville. 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 Ronald L. Somerville. The network helps show where Ronald L. Somerville may publish in the future.
Co-authorship network of co-authors of Ronald L. Somerville
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald L. Somerville. A scholar is included among the top collaborators of Ronald L. Somerville 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 Ronald L. Somerville. Ronald L. Somerville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 47 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 26 | |
| 15 | Amino acids : biosynthesis and genetic regulation | 282 |
| 16 | 37 | |
| 17 | 16 | |
| 18 | 59 | |
| 19 | 6 | |
| 20 | 43 |
About Ronald L. Somerville
Ronald L. Somerville is a scholar working on Genetics, Biochemistry and Molecular Biology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), RNA and protein synthesis mechanisms (27 papers) and Enzyme Structure and Function (12 papers). The work is most often cited by research in Biochemistry (256 citations), Genetics (840 citations) and Molecular Biology (1.7k citations). Ronald L. Somerville has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include Klaus M. Herrmann, Charles Yanofsky, Gordon R. Greenberg, Gregg Bogosian, Jonathan Kuhn, W Roeder, L. Ni, Keith Brown, Wei Yang and Eugene E. Dekker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.