Susan L. Naylor
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 0.5%
- RNA modifications and cancer 19
- Genomics and Chromatin Dynamics 14
- Molecular Biology Techniques and Applications 12
- RNA Research and Splicing 9
- Aging top 2%
- Genetics top 0.5%
- Genomic variations and chromosomal abnormalities 14
- Animal Genetics and Reproduction 9
- Cancer Research top 1%
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- Cancer-related Molecular Pathways 10
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- Chromosomal and Genetic Variations 10
- Co-authors
- Alan Y. SakaguchiA.Y. SakaguchiDavid R. CoxLily ShiueTitia de LangeR MyersMargaret R. WallaceKlaas Kok
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Susan L. Naylor
147 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cellular and Molecular Neuroscience 2.2k
- Molecular Biology 6.9k
- Aging 141
- Genetics 2.2k
- Cancer Research 1.1k
Countries citing papers authored by Susan L. Naylor
This map shows the geographic impact of Susan L. Naylor'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 Susan L. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan L. Naylor more than expected).
Fields of papers citing papers by Susan L. Naylor
This network shows the impact of papers produced by Susan L. Naylor. 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 Susan L. Naylor. The network helps show where Susan L. Naylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan L. Naylor, 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 | 2011 | 44 | |
| 2 | 2009 | 197 | |
| 3 | 2005 | 40 | |
| 4 | 2004 | 40 | |
| 5 | Myotonic Dystrophy Type 2 Caused by a CCTG Expansion in Intron 1 of ZNF9breakdown → | 2001 | 918 |
| 6 | 1999 | 28 | |
| 7 | Physical and functional mapping of a tumor suppressor locus for renal cell carcinoma within chromosome 3p12. | 1998 | 37 |
| 8 | Chromosomal localization of the 5-HT1F receptor gene: no evidence for involvement in response to sumatriptan in migraine patients. | 1998 | 19 |
| 9 | 1998 | 5 | |
| 10 | 1998 | 1 | |
| 11 | 1996 | 12 | |
| 12 | 1996 | 28 | |
| 13 | Two novel human serine/threonine kinases with homologies to the cell cycle regulating Xenopus MO15, and NIMA kinases: cloning and characterization of their expression pattern. | 1994 | 59 |
| 14 | 1994 | 11 | |
| 15 | 1991 | 1 | |
| 16 | 1990 | 16 | |
| 17 | 1989 | 19 | |
| 18 | 1989 | 8 | |
| 19 | 1989 | 50 | |
| 20 | 1986 | 12 |
About Susan L. Naylor
Susan L. Naylor is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 148 papers that have together received 10.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (19 papers), Genomics and Chromatin Dynamics (14 papers), Genomic variations and chromosomal abnormalities (14 papers), Molecular Biology Techniques and Applications (12 papers), Cancer-related Molecular Pathways (10 papers), Chromosomal and Genetic Variations (10 papers), Animal Genetics and Reproduction (9 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Molecular Biology (6.9k citations) and Aging (141 citations). Susan L. Naylor has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Alan Y. Sakaguchi, A.Y. Sakaguchi, David R. Cox, Lily Shiue, Titia de Lange, R Myers, Margaret R. Wallace, Klaas Kok, James F. Gusella and Bruce E. Johnson. Their work appears in journals such as Nature, Science and Cell.
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.