Glen N. Barber
- Immunology top 0.02%
- Molecular Biology top 0.2%
- Infectious Diseases top 0.05%
- Oncology top 0.2%
- Epidemiology top 0.2%
- Co-authors
- Hiroki IshikawaZhe MaHiroyasu KonnoSiddharth BalachandranJeonghyun AhnMichael G. KatzeTianli XiaTakayuki Abe
- Topics
- interferon and immune responses (102 papers)RNA regulation and disease (43 papers)Virus-based gene therapy research (42 papers)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Glen N. Barber
202 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 19.2k
- Molecular Biology 13.5k
- Infectious Diseases 6.8k
- Oncology 5.2k
- Epidemiology 4.9k
Countries citing papers authored by Glen N. Barber
This map shows the geographic impact of Glen N. Barber'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 Glen N. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen N. Barber more than expected).
Fields of papers citing papers by Glen N. Barber
This network shows the impact of papers produced by Glen N. Barber. 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 Glen N. Barber. The network helps show where Glen N. Barber may publish in the future.
Co-authorship network of co-authors of Glen N. Barber
This figure shows the co-authorship network connecting the top 25 collaborators of Glen N. Barber. A scholar is included among the top collaborators of Glen N. Barber 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 Glen N. Barber. Glen N. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 73 | |
| 5 | 20 | |
| 6 | 67 | |
| 7 | 95 | |
| 8 | 58 | |
| 9 | 131 | |
| 10 | 117 | |
| 11 | 0 | |
| 12 | 280 | |
| 13 | STING-Dependent Cytosolic DNA Sensing Mediates Innate Immune Recognition of Immunogenic Tumorsbreakdown → | 1413 |
| 14 | 57 | |
| 15 | 69 | |
| 16 | 432 | |
| 17 | 95 | |
| 18 | Adenoviral transfer of the melanoma differentiation-associated gene 7 (mda7) induces apoptosis of lung cancer cells via up-regulation of the double-stranded RNA-dependent protein kinase (PKR). | 110 |
| 19 | 126 | |
| 20 | 5 |
About Glen N. Barber
Glen N. Barber is a scholar working on Immunology, Infectious Diseases and Animal Science and Zoology, having authored 203 papers that have together received 29.0k indexed citations. Recurring topics across this work include interferon and immune responses (102 papers), RNA regulation and disease (43 papers) and Virus-based gene therapy research (42 papers). The work is most often cited by research in Immunology (19.2k citations), Infectious Diseases (6.8k citations) and Molecular Biology (13.5k citations). Glen N. Barber has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Hiroki Ishikawa, Zhe Ma, Hiroyasu Konno, Siddharth Balachandran, Jeonghyun Ahn, Michael G. Katze, Tianli Xia, Takayuki Abe, K Konno and Delia Gutman. Their work appears in journals such as Nature, Science and Cell.
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.