Linda Riles
- Molecular Biology top 10%
- Fungal and yeast genetics research 17
- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- Cell Biology top 10%
- Aging top 10%
- Plant Science top 10%
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- Fermentation and Sensory Analysis 4
- Co-authors
- Mark JohnstonJohannes H. HegemannRainer NiedenthalTing‐Fung ChanXiao-Feng ZhengJohn CarvalhoMaynard V. OlsonEdward C. Thayer
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Linda Riles
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.3k
- Cell Biology 207
- Aging 20
- Plant Science 202
- Genetics 117
Countries citing papers authored by Linda Riles
This map shows the geographic impact of Linda Riles'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 Linda Riles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Riles more than expected).
Fields of papers citing papers by Linda Riles
This network shows the impact of papers produced by Linda Riles. 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 Linda Riles. The network helps show where Linda Riles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linda Riles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 19 | |
| 2 | 2014 | 14 | |
| 3 | 2012 | 12 | |
| 4 | 2008 | 23 | |
| 5 | 2005 | 25 | |
| 6 | 2004 | 64 | |
| 7 | 2002 | 36 | |
| 8 | 2000 | 146 | |
| 9 | 1999 | 34 | |
| 10 | 1998 | 23 | |
| 11 | 1997 | 11 | |
| 12 | 1997 | 167 | |
| 13 | 1996 | 112 | |
| 14 | 1996 | 339 | |
| 15 | 1994 | 3 | |
| 16 | 1993 | 222 | |
| 17 | 1992 | 66 | |
| 18 | 1988 | 21 | |
| 19 | 1966 | 19 | |
| 20 | 1965 | 6 |
About Linda Riles
Linda Riles is a scholar working on Molecular Biology, Food Science and Radiological and Ultrasound Technology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (17 papers), Genomics and Chromatin Dynamics (5 papers), Fermentation and Sensory Analysis (4 papers), RNA and protein synthesis mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (207 citations) and Aging (20 citations). Linda Riles has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mark Johnston, Johannes H. Hegemann, Rainer Niedenthal, Ting‐Fung Chan, Xiao-Feng Zheng, John Carvalho, Maynard V. Olson, Edward C. Thayer, Valerie V. Braden and Mary P. Leckie. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.