Katherine E. Simon
Impact in
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- Virus-based gene therapy research
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- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
- Genetics 6
- Virus-based gene therapy research 4
- Human-Animal Interaction Studies 2
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- Viral Infectious Diseases and Gene Expression in Insects 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Aravind Asokan (5 shared papers)Daniel K. Oh (3 shared papers)Zachary C. Elmore (1 shared paper)Rita M. Meganck (2 shared papers)L. Patrick Havlik (2 shared papers)Andrew Hale (1 shared paper)William F. Marzluff (1 shared paper)Jeremy E. Wilusz (1 shared paper)
- Journals
- Journal of Virology (2 papers)GeroScience (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Molecular Therapy — Nucleic Acids (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Katherine E. Simon
9 papers receiving 288 citations
Peers
Comparison fields: 5 of 55
- Genetics 161
- Molecular Biology 199
- Animal Science and Zoology 25
- Cancer Research 37
- Equine 4
Countries citing papers authored by Katherine E. Simon
This map shows the geographic impact of Katherine E. Simon'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 Katherine E. Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Simon more than expected).
Fields of papers citing papers by Katherine E. Simon
This network shows the impact of papers produced by Katherine E. Simon. 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 Katherine E. Simon. The network helps show where Katherine E. Simon may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine E. Simon, 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 | 2020 | 101 | |
| 2 | 2021 | 59 | |
| 3 | 2020 | 46 | |
| 4 | 2022 | 44 | |
| 5 | Evaluation of Pain Assessment Techniques and Analgesia Efficacy in a Female Guinea Pig (Cavia porcellus) Model of Surgical Pain. | 2017 | 17 |
| 6 | 2019 | 15 | |
| 7 | 2008 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Katherine E. Simon
Katherine E. Simon is a scholar working on Genetics, Molecular Biology, Small Animals, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 10 papers that have together received 295 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), CRISPR and Genetic Engineering (2 papers), Human-Animal Interaction Studies (2 papers), Herpesvirus Infections and Treatments (1 paper), interferon and immune responses (1 paper), Prenatal Substance Exposure Effects (1 paper) and Veterinary Pharmacology and Anesthesia (1 paper). The work is most often cited by research in Genetics (161 citations), Molecular Biology (199 citations), Animal Science and Zoology (25 citations), Cancer Research (37 citations) and Equine (4 citations). Katherine E. Simon has collaborated with scholars based in United States and Germany. Frequent co-authors include Aravind Asokan, Daniel K. Oh, Zachary C. Elmore, Rita M. Meganck, L. Patrick Havlik, Andrew Hale, William F. Marzluff, Jeremy E. Wilusz, Nathaniel J. Moorman and Jiacheng Liu. Their work appears in journals such as Journal of Virology, GeroScience, Scientific Reports, Nature Communications and Molecular Therapy — Nucleic Acids.
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.