Jeffrey S. Bartlett

3.6k citations
33 papers · 2.6k indexed · 1 hit paper · h-index 19
Topics
Virus-based gene therapy research (29 papers)RNA Interference and Gene Delivery (15 papers)Viral Infectious Diseases and Gene Expression in Insects (11 papers)
Journals
Nature MedicineSHILAP Revista de lepidopterologíaNature Biotechnology

In The Last Decade

Jeffrey S. Bartlett

33 papers receiving 2.5k citations

Hit Papers

αVβ5 integrin: a co-receptor for adeno-associated virus t...19992026200820171999100200300400500

Peers

Jeffrey S. Bartlett
Comparison fields: 5 of 80
  • Genetics 2.0k
  • Molecular Biology 1.8k
  • Oncology 374
  • Infectious Diseases 346
  • Epidemiology 342
Replace R. Michael Linden with:
R. Michael Linden United States
R. Jude Samulski United States
Peter Colosi United States
Mauricio R. Alvira United States
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Daniel J. Hui United States
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Jeffrey S. Bartlett relative to R. Michael Linden United States R. Michael Linden's profile →
Citations per field
00.5×1.5×
R. Michael Linden · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Bartlett

Since Specialization
Citations

This map shows the geographic impact of Jeffrey S. Bartlett'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 Jeffrey S. Bartlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Bartlett more than expected).

Fields of papers citing papers by Jeffrey S. Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Bartlett. 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 Jeffrey S. Bartlett. The network helps show where Jeffrey S. Bartlett may publish in the future.

Co-authorship network of co-authors of Jeffrey S. Bartlett

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Bartlett. A scholar is included among the top collaborators of Jeffrey S. Bartlett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey S. Bartlett. Jeffrey S. Bartlett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 45
3 14
4 25
5 5
6 13
7 5
8 40
9 57
10 61
11 11
12 69
13 3
14 18
15 5
16 34
17
αVβ5 integrin: a co-receptor for adeno-associated virus type 2 infectionbreakdown →
555
18 167
19 30
20 242

About Jeffrey S. Bartlett

Jeffrey S. Bartlett is a scholar working on Genetics, Virology and Molecular Biology, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (29 papers), RNA Interference and Gene Delivery (15 papers) and Viral Infectious Diseases and Gene Expression in Insects (11 papers). The work is most often cited by research in Genetics (2.0k citations), Molecular Biology (1.8k citations) and Animal Science and Zoology (192 citations). Jeffrey S. Bartlett has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include R. Jude Samulski, Rose Wilcher, Thomas J. McCown, Norman C.W. Wong, Daniel A. Muruve, Qiang Liu, Wenfang Shi, Jürgen A. Kleinschmidt, Richard C. Boucher and Alicia L. Bertone. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Nature Biotechnology.

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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