J.K. Everett
Impact in
Papers in
-
- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 6
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- Enzyme Structure and Function 15
- Co-authors
- Frederic D. Bushman (18 shared papers)G.T. Montelione (36 shared papers)Thomas Acton (29 shared papers)Rong Xiao (29 shared papers)Hayley E. Raymond (3 shared papers)Denise E. Sabatino (4 shared papers)Timothy C. Nichols (3 shared papers)Elizabeth P. Merricks (3 shared papers)
- Journals
- Journal of Structural and Functional Genomics (11 papers)Proteins Structure Function and Bioinformatics (4 papers)Blood (3 papers)Biochemistry (3 papers)mBio (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
J.K. Everett
53 papers receiving 1.5k citations
J.K. Everett's Hit Papers
Peers
Comparison fields: 5 of 105
- Virology 141
- Genetics 411
- Molecular Biology 982
- Infectious Diseases 203
- Oncology 247
Countries citing papers authored by J.K. Everett
This map shows the geographic impact of J.K. Everett'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 J.K. Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.K. Everett more than expected).
Fields of papers citing papers by J.K. Everett
This network shows the impact of papers produced by J.K. Everett. 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 J.K. Everett. The network helps show where J.K. Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside J.K. Everett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A long-term study of AAV gene therapy in dogs with hemophilia A identifies clonal expansions of transduced liver cells Hit paper breakdown → | 2020 | 316 |
| 2 | 2016 | 305 | |
| 3 | 2020 | 105 | |
| 4 | 2009 | 96 | |
| 5 | 2019 | 94 | |
| 6 | 2016 | 70 | |
| 7 | 2009 | 60 | |
| 8 | 2016 | 60 | |
| 9 | 2016 | 46 | |
| 10 | 2023 | 40 | |
| 11 | 2022 | 35 | |
| 12 | 2010 | 28 | |
| 13 | 2018 | 27 | |
| 14 | 2019 | 24 | |
| 15 | 2010 | 23 | |
| 16 | 2010 | 23 | |
| 17 | 2014 | 21 | |
| 18 | 2024 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2002 | 15 |
About J.K. Everett
J.K. Everett is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases and Ecology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (11 papers), Virus-based gene therapy research (6 papers), Genomics and Phylogenetic Studies (6 papers), CAR-T cell therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Virology (141 citations), Genetics (411 citations), Molecular Biology (982 citations), Infectious Diseases (203 citations) and Oncology (247 citations). J.K. Everett has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Frederic D. Bushman, G.T. Montelione, Thomas Acton, Rong Xiao, Hayley E. Raymond, Denise E. Sabatino, Timothy C. Nichols, Elizabeth P. Merricks, Giang N. Nguyen and Samita Kafle. Their work appears in journals such as Journal of Structural and Functional Genomics, Proteins Structure Function and Bioinformatics, Blood, Biochemistry and mBio.
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.