Shannon Barker

1.1k total citations
20 papers, 849 citations indexed

About

Shannon Barker is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Shannon Barker has authored 20 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Shannon Barker's work include Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (6 papers) and CAR-T cell therapy research (5 papers). Shannon Barker is often cited by papers focused on Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (6 papers) and CAR-T cell therapy research (5 papers). Shannon Barker collaborates with scholars based in United States, Finland and Spain. Shannon Barker's co-authors include Akseli Hemminki, David T. Curiel, Ronald D. Alvarez, Gerd Bauerschmitz, Parameshwar J. Mahasreshti, Anna Kanerva, Mack N. Barnes, Victor Krasnykh, John Lam and Galina Mikheeva and has published in prestigious journals such as Journal of Clinical Oncology, Gynecologic Oncology and Gene Therapy.

In The Last Decade

Shannon Barker

18 papers receiving 834 citations

Peers

Shannon Barker
Comparison fields: 5 of 75
  • Genetics 597
  • Molecular Biology 554
  • Oncology 431
  • Biotechnology 154
  • Immunology 76
Replace X Ye with:
X Ye China
Lisa P. Seung United States
Klaus Mantwill Germany
Engin Gürlevik Germany
Gail DeRaffele United States
Luna Kadouri Israel
Tyler Walther United States
Sandra Silva-Arrieta United States
R Brew United Kingdom
E. Galanis United States
X Ye China View profile →
Citations per field, relative to Shannon Barker
Shannon Barker · 1×
Citations per year, relative to Shannon Barker
Shannon Barker · 1×

Countries citing papers authored by Shannon Barker

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon Barker. 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 Shannon Barker. The network helps show where Shannon Barker may publish in the future.

Co-authorship network of co-authors of Shannon Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Barker. A scholar is included among the top collaborators of Shannon Barker 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 Shannon Barker. Shannon Barker 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
# Work Indexed citations
1 0
2 0
3 14
4 9
5 33
6 27
7
Defining a Research Domain in an Emerging Technology: Vaccine Research in the State of Georgia
2
8 33
9 86
10 40
11 23
12
CD40 is expressed on ovarian cancer cells and can be utilized for targeting adenoviruses.
34
13 23
14 54
15
Targeting adenovirus to the serotype 3 receptor increases gene transfer efficiency to ovarian cancer cells.
208
16 97
17 34
18
Strategies to accomplish targeted expression of transgenes in ovarian cancer for molecular therapeutic applications.
40
19 35
20 57

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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