Daniel Stone
- Genetics top 1%
- Virus-based gene therapy research 38
- Virology top 5%
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 14
- RNA Interference and Gene Delivery 13
- Viral Infectious Diseases and Gene Expression in Insects 9
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 9
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- CAR-T cell therapy research 10
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- Herpesvirus Infections and Treatments 9
- Cytomegalovirus and herpesvirus research 7
- Co-authors
- Keith R. JeromeAndré LieberMaría G. CastroDavid V. SchafferMartine AubertPedro R. LöwensteinZong-Yi LiChristopher J. Chang
- Cited by
- GeneticsVirologyMolecular Biology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Stone
55 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 108
- Genetics 1.3k
- Virology 128
- Molecular Biology 1.6k
- Business and International Management 41
- Infectious Diseases 380
Countries citing papers authored by Daniel Stone
This map shows the geographic impact of Daniel Stone'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 Daniel Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stone more than expected).
Fields of papers citing papers by Daniel Stone
This network shows the impact of papers produced by Daniel Stone. 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 Daniel Stone. The network helps show where Daniel Stone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Stone, 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 | 2024 | 12 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 75 | |
| 7 | 2020 | 52 | |
| 8 | 2017 | 13 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 21 | |
| 11 | 2016 | 29 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 43 | |
| 14 | 2014 | 93 | |
| 15 | 2010 | 231 | |
| 16 | 2007 | 51 | |
| 17 | 2003 | 27 | |
| 18 | 2003 | 9 | |
| 19 | 2001 | 28 | |
| 20 | 2001 | 105 |
About Daniel Stone
Daniel Stone is a scholar working on Virology, Genetics, Infectious Diseases, Epidemiology and Molecular Biology, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (38 papers), CRISPR and Genetic Engineering (14 papers), RNA Interference and Gene Delivery (13 papers), CAR-T cell therapy research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Herpesvirus Infections and Treatments (9 papers) and Cytomegalovirus and herpesvirus research (7 papers). The work is most often cited by research in Genetics (1.3k citations), Virology (128 citations), Molecular Biology (1.6k citations), Business and International Management (41 citations) and Infectious Diseases (380 citations). Daniel Stone has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Keith R. Jerome, André Lieber, María G. Castro, David V. Schaffer, Martine Aubert, Pedro R. Löwenstein, Zong-Yi Li, Christopher J. Chang, Bryan C. Dickinson and Joseph Peltier. Their work appears in journals such as Molecular Therapy, Journal of Virology, Scientific Reports, Nature Communications and Molecular Therapy — Methods & Clinical Development.
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.