Katelyn Williams
Impact in
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- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- Ubiquitin and proteasome pathways 5
- Glycosylation and Glycoproteins Research 2
- Epigenetics and DNA Methylation 1
- Oncology 2
- Co-authors
- Shaun K. Olsen (5 shared papers)Lingmin Yuan (4 shared papers)Zongyang Lv (4 shared papers)J. Alan Diehl (1 shared paper)Shuo Qie (1 shared paper)David A. Willis (1 shared paper)Zihai Li (1 shared paper)Jessica E. Thaxton (1 shared paper)
- Journals
- Nature Communications (3 papers)Molecular Cell (1 paper)Biotechnology and Bioengineering (1 paper)Journal of Biological Chemistry (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- United StatesEgyptAustralia
In The Last Decade
Katelyn Williams
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 67
- Oncology 116
- Immunology 73
- Molecular Biology 232
- Cell Biology 52
- Parasitology 14
Countries citing papers authored by Katelyn Williams
This map shows the geographic impact of Katelyn Williams'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 Katelyn Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelyn Williams more than expected).
Fields of papers citing papers by Katelyn Williams
This network shows the impact of papers produced by Katelyn Williams. 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 Katelyn Williams. The network helps show where Katelyn Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Katelyn Williams, 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 | 2016 | 81 | |
| 2 | 2018 | 48 | |
| 3 | 2018 | 48 | |
| 4 | 2019 | 45 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 34 | |
| 7 | 2017 | 27 | |
| 8 | 2012 | 16 | |
| 9 | 2022 | 10 | |
| 10 | 2012 | 9 | |
| 11 | Ernest Everett Just, PhD: Pioneer in Ecological Developmental (Eco-Devo) Biology | 2013 | 2 |
About Katelyn Williams
Katelyn Williams is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Infectious Diseases, having authored 11 papers that have together received 360 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Genetics and Neurodevelopmental Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), Science, Research, and Medicine (1 paper), Dermatological diseases and infestations (1 paper), Immunotherapy and Immune Responses (1 paper), Insects and Parasite Interactions (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Oncology (116 citations), Immunology (73 citations), Molecular Biology (232 citations), Cell Biology (52 citations) and Parasitology (14 citations). Katelyn Williams has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Shaun K. Olsen, Lingmin Yuan, Zongyang Lv, J. Alan Diehl, Shuo Qie, David A. Willis, Zihai Li, Jessica E. Thaxton, Gabriela Chiosis and Bei Liu. Their work appears in journals such as Nature Communications, Molecular Cell, Biotechnology and Bioengineering, Journal of Biological Chemistry and Cancer Immunology Immunotherapy.
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.