Daniel Stone

3.3k citations
64 papers · 2.8k · h-index 29

Impact in

Papers in

    • Virus-based gene therapy research 42
    • CRISPR and Genetic Engineering 15
    • RNA Interference and Gene Delivery 14
    • Viral Infectious Diseases and Gene Expression in Insects 10

Daniel Stone

64 papers receiving 2.7k citations

Peers

Daniel Stone
Comparison fields: 5 of 117
  • Genetics 1.3k
  • Virology 122
  • Molecular Biology 1.7k
  • Infectious Diseases 415
  • Business and International Management 43
Replace Francisco Martı́n with:
Francisco Martı́n Spain
S. Kaye Spratt United States
Anton P. McCaffrey United States
Yan Chérel France
Xiao‐Bing Zhang China
Chengwen Li United States
Isao Oishi Japan
Harald Petry Germany
Yong Huang China
Yaohe Wang United Kingdom
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Citations per field
00.5×2×3.2×
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Citations per year

Countries citing papers authored by Daniel Stone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Stone Line = papers co-authored together Daniel Stone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999284
2 2010248
3 2011181
4 2007141
5 2001123
6 2006121
7 2014102
8 2012100
9 200587
10 202079
11 202078
12 200068
13 200764
14 202062
15 200861
16 200756
17 201446
18 201346
19 202044
20 201343

About Daniel Stone

Daniel Stone is a scholar working on Genetics, Molecular Biology, Epidemiology, Infectious Diseases and Oncology, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (42 papers), CRISPR and Genetic Engineering (15 papers), RNA Interference and Gene Delivery (14 papers), CAR-T cell therapy research (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Viral Infectious Diseases and Gene Expression in Insects (10 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 (122 citations), Molecular Biology (1.7k citations), Infectious Diseases (415 citations) and Business and International Management (43 citations). Daniel Stone has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Keith R. Jerome, André Lieber, Maria Graciela Castro, Martine Aubert, David V. Schaffer, Pedro Ricardo Lowenstein, Bryan C. Dickinson, Christopher J. Chang, Zong-Yi Li and Joshua Tisdell Schiffer. Their work appears in journals such as Molecular Therapy, Journal of Virology, Molecular Therapy — Methods & Clinical Development, Endocrinology and Virology.

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.

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