Kim R. Folger
- Molecular Biology top 10%
- Genetics top 5%
- Infectious Diseases top 10%
- Molecular Medicine top 2%
- Plant Science
- Co-authors
- Mario R. CapecchiGeoffrey M. WahlEric A. WongKirk R. ThomasC. Kendall StoverSilvija N. CoulterWilliam R. SchwanPaul Warrener
- Topics
- CRISPR and Genetic Engineering (6 papers)Bacterial Genetics and Biotechnology (5 papers)DNA Repair Mechanisms (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular and Cellular Biology
- Partner nations
- United StatesBelgium
In The Last Decade
Kim R. Folger
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 1.1k
- Genetics 568
- Infectious Diseases 219
- Molecular Medicine 191
- Plant Science 138
Countries citing papers authored by Kim R. Folger
This map shows the geographic impact of Kim R. Folger'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 Kim R. Folger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim R. Folger more than expected).
Fields of papers citing papers by Kim R. Folger
This network shows the impact of papers produced by Kim R. Folger. 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 Kim R. Folger. The network helps show where Kim R. Folger may publish in the future.
Co-authorship network of co-authors of Kim R. Folger
This figure shows the co-authorship network connecting the top 25 collaborators of Kim R. Folger. A scholar is included among the top collaborators of Kim R. Folger 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 Kim R. Folger. Kim R. Folger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 182 | |
| 3 | 228 | |
| 4 | 61 | |
| 5 | 51 | |
| 6 | 22 | |
| 7 | 110 | |
| 8 | 36 | |
| 9 | 51 | |
| 10 | 20 | |
| 11 | Patterns of integration of DNA microinjected into cultured mammalian cells: evidence for homologous recombination between injected plasmid DNA molecules.breakdown → | 222 |
| 12 | Patterns of Integration of DNA Microinjected into Cultured Mammalian Cells: Evidence for Homologous Recombination Between Injected Plasmid DNA Moleculesbreakdown → | 350 |
About Kim R. Folger
Kim R. Folger is a scholar working on Genetics, Physiology and Molecular Medicine, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Bacterial Genetics and Biotechnology (5 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (191 citations), Genetics (568 citations) and Molecular Biology (1.1k citations). Kim R. Folger has collaborated with scholars based in United States and Belgium. Frequent co-authors include Mario R. Capecchi, Geoffrey M. Wahl, Eric A. Wong, Kirk R. Thomas, C. Kendall Stover, Silvija N. Coulter, William R. Schwan, Paul Warrener, Arnold S. Bayer and Heather Ritchie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.