Kim C. Worley
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 5
- Genomics and Rare Diseases 4
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 23
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 6
- Machine Learning in Bioinformatics 4
- Reproductive Medicine top 2%
- Insect Science top 2%
- Developmental Biology top 5%
-
- Chromosomal and Genetic Variations 8
-
- Primate Behavior and Ecology 5
- Co-authors
- Randall F. SmithBrent A. WieseRichard A. GibbsDonna M. MuznyEmanuele FerranteBarbara BardoniElena ZanariaSilvana Guioli
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Nature Genetics (5 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kim C. Worley
68 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 1.8k
- Molecular Biology 2.5k
- Reproductive Medicine 293
- Insect Science 303
- Developmental Biology 52
Countries citing papers authored by Kim C. Worley
This map shows the geographic impact of Kim C. Worley'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 C. Worley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim C. Worley more than expected).
Fields of papers citing papers by Kim C. Worley
This network shows the impact of papers produced by Kim C. Worley. 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 C. Worley. The network helps show where Kim C. Worley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kim C. Worley, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 67 | |
| 9 | 2013 | 182 | |
| 10 | 2012 | 37 | |
| 11 | 2011 | 26 | |
| 12 | 2010 | 14 | |
| 13 | 2006 | 36 | |
| 14 | 2002 | 52 | |
| 15 | 2002 | 7 | |
| 16 | 2000 | 4 | |
| 17 | 2000 | 33 | |
| 18 | 1999 | 29 | |
| 19 | 1996 | 36 | |
| 20 | 1993 | 37 |
About Kim C. Worley
Kim C. Worley is a scholar working on Aging, Genetics and Molecular Biology, having authored 72 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (8 papers), Chromosomal and Genetic Variations (8 papers), RNA modifications and cancer (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Primate Behavior and Ecology (5 papers), Genomics and Rare Diseases (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Genetics (1.8k citations), Molecular Biology (2.5k citations) and Reproductive Medicine (293 citations). Kim C. Worley has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Randall F. Smith, Brent A. Wiese, Richard A. Gibbs, Donna M. Muzny, Emanuele Ferrante, Barbara Bardoni, Elena Zanaria, Silvana Guioli, Orsetta Zuffardi and M. Fraccaro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.
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.