David A. Barbie
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 14
- Lung Cancer Research Studies 12
- CAR-T cell therapy research 10
- Cancer Cells and Metastasis 7
- Immunology top 2%
- interferon and immune responses 12
- Immune cells in cancer 8
- Cancer Research top 5%
- Molecular Biology top 2%
- Aging top 5%
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- 3D Printing in Biomedical Research 9
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- Lung Cancer Treatments and Mutations 7
- Co-authors
- Russell W. JenkinsKeith T. FlahertyBrian K. KennedyEd HarlowJiyong ZhaoA. Gregory MateraBrandon D. LawrenceJonathan A. Fletcher
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Cancer Research (8 papers)Journal of Clinical Oncology (8 papers)Journal of Thoracic Oncology (3 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
David A. Barbie
78 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Oncology 2.2k
- Immunology 1.4k
- Cancer Research 628
- Molecular Biology 2.7k
- Aging 54
Countries citing papers authored by David A. Barbie
This map shows the geographic impact of David A. Barbie'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 David A. Barbie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Barbie more than expected).
Fields of papers citing papers by David A. Barbie
This network shows the impact of papers produced by David A. Barbie. 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 David A. Barbie. The network helps show where David A. Barbie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Barbie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 53 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 31 | |
| 14 | 2019 | 67 | |
| 15 | 2019 | 44 | |
| 16 | 2018 | 348 | |
| 17 | 2018 | 69 | |
| 18 | 2016 | 76 | |
| 19 | 2003 | 30 | |
| 20 | 1996 | 215 |
About David A. Barbie
David A. Barbie is a scholar working on Oncology, Immunology and Cancer Research, having authored 81 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (14 papers), interferon and immune responses (12 papers), Lung Cancer Research Studies (12 papers), CAR-T cell therapy research (10 papers), 3D Printing in Biomedical Research (9 papers), Immune cells in cancer (8 papers), Cancer Cells and Metastasis (7 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Oncology (2.2k citations), Immunology (1.4k citations) and Cancer Research (628 citations). David A. Barbie has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Russell W. Jenkins, Keith T. Flaherty, Brian K. Kennedy, Ed Harlow, Jiyong Zhao, A. Gregory Matera, Brandon D. Lawrence, Jonathan A. Fletcher, Shunsuke Kitajima and Nicholas J. Dyson. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Thoracic Oncology, Nature Communications and Cancers.
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.