Robert J. Debs

5.9k citations
73 papers · 4.7k indexed · 2 hit papers · h-index 34
Topics
RNA Interference and Gene Delivery (33 papers)Virus-based gene therapy research (17 papers)Advanced biosensing and bioanalysis techniques (12 papers)

In The Last Decade

Robert J. Debs

73 papers receiving 4.4k citations

Hit Papers

Systemic Gene Expression After Intravenous DNA Delivery i...199320262004201519932020100200300400500

Peers

Robert J. Debs
Comparison fields: 5 of 120
  • Molecular Biology 3.4k
  • Genetics 1.3k
  • Immunology 553
  • Infectious Diseases 522
  • Epidemiology 450
Replace Ian E. Alexander with:
Ian E. Alexander Australia
Fuminori Sakurai Japan
Hiromi Muramatsu United States
Sang‐Kyung Lee South Korea
Anton P. McCaffrey United States
Gloria González‐Aseguinolaza Spain
Rob C. Hoeben Netherlands
Isao Oishi Japan
Yuki Naito Japan
Yaohe Wang United Kingdom
Robert J. Debs relative to Ian E. Alexander Australia Ian E. Alexander's profile →
Citations per field
00.5×1.5×
Ian E. Alexander · 1×
Citations per year

Countries citing papers authored by Robert J. Debs

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Debs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Debs. 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 Robert J. Debs. The network helps show where Robert J. Debs may publish in the future.

Co-authorship network of co-authors of Robert J. Debs

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Debs. A scholar is included among the top collaborators of Robert J. Debs 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 Robert J. Debs. Robert J. Debs 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 12
2
Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenzabreakdown →
371
3 16
4 21
5 30
6 8
7 4
8 10
9 35
10 26
11 80
12 64
13 33
14 284
15 23
16 38
17 41
18 6
19 9
20 66

About Robert J. Debs

Robert J. Debs is a scholar working on Immunology, Molecular Biology and Genetics, having authored 73 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (33 papers), Virus-based gene therapy research (17 papers) and Advanced biosensing and bioanalysis techniques (12 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Genetics (1.3k citations) and Infectious Diseases (522 citations). Robert J. Debs has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Denny Liggitt, Timothy D. Heath, Yong Liu, Ning Zhu, Daniel S. Friend, D. Papahadjopoulos, Leslie C. Mounkes, Sylvia Fong, Wendy Zhong and Carolyn S. Brown. Their work appears in journals such as Science, Cell 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.

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