Mark A. Kay
- Genetics top 0.01%
- Virus-based gene therapy research 185
- Molecular Biology top 0.05%
- RNA Interference and Gene Delivery 103
- CRISPR and Genetic Engineering 103
- Viral Infectious Diseases and Gene Expression in Insects 44
- RNA Research and Splicing 25
- Hepatology top 0.2%
- Liver physiology and pathology 23
- Cancer Research top 0.2%
- Oncology top 0.5%
- CAR-T cell therapy research 29
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- Viral gastroenteritis research and epidemiology 29
- Co-authors
- Anja EhrhardtDirk GrimmTheresa A. StormLeonard MeuseClare E. ThomasHiroyuki NakaiStephen R. YantLuigi Naldini
- Cited by
- GeneticsMolecular BiologyHepatology
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Mark A. Kay
291 papers receiving 32.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 17.3k
- Molecular Biology 25.5k
- Hepatology 2.0k
- Cancer Research 3.1k
- Oncology 4.4k
Countries citing papers authored by Mark A. Kay
This map shows the geographic impact of Mark A. Kay'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 Mark A. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Kay more than expected).
Fields of papers citing papers by Mark A. Kay
This network shows the impact of papers produced by Mark A. Kay. 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 Mark A. Kay. The network helps show where Mark A. Kay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark A. Kay, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 25 | |
| 5 | 2023 | 10 | |
| 6 | 2020 | 128 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 20 | |
| 10 | 2015 | 27 | |
| 11 | 2014 | 4 | |
| 12 | In Vitro and In Vivo Gene Therapy Vector Evolution via Multispecies Interbreeding and Retargeting of Adeno-Associated Virusesbreakdown → | 2008 | 537 |
| 13 | 2007 | 164 | |
| 14 | 2005 | 140 | |
| 15 | 2005 | 54 | |
| 16 | 1999 | 78 | |
| 17 | 1996 | 107 | |
| 18 | 1995 | 87 | |
| 19 | 1995 | 42 | |
| 20 | 1992 | 155 |
About Mark A. Kay
Mark A. Kay is a scholar working on Genetics, Hepatology and Molecular Biology, having authored 296 papers that have together received 33.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (185 papers), RNA Interference and Gene Delivery (103 papers), CRISPR and Genetic Engineering (103 papers), Viral Infectious Diseases and Gene Expression in Insects (44 papers), Viral gastroenteritis research and epidemiology (29 papers), CAR-T cell therapy research (29 papers), RNA Research and Splicing (25 papers) and Liver physiology and pathology (23 papers). The work is most often cited by research in Genetics (17.3k citations), Molecular Biology (25.5k citations) and Hepatology (2.0k citations). Mark A. Kay has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Anja Ehrhardt, Dirk Grimm, Theresa A. Storm, Leonard Meuse, Clare E. Thomas, Hiroyuki Nakai, Stephen R. Yant, Luigi Naldini, André Lieber and Joseph C. Glorioso. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Journal of Virology, Blood and Proceedings of the National Academy of Sciences.
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.