Gary D. Luker
Impact in
- Oncology top 0.5%
- Chemokine receptors and signaling
- Cancer Cells and Metastasis
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- interferon and immune responses
Papers in
- Biophysics 25
- Cell Image Analysis Techniques 17
- Oncology 97
- Cancer Cells and Metastasis 41
- Chemokine receptors and signaling 36
- Co-authors
- Kathryn E. LukerDavid Piwnica‐WormsShuichi TakayamaAmy Y. HsiaoMarylou IngramGeeta MehtaMatthew C. SmithChristina M. Pica
- Journals
- Tomography (9 papers)Oncogene (6 papers)PLoS ONE (6 papers)Integrative Biology (6 papers)Scientific Reports (5 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Gary D. Luker
218 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Oncology 4.3k
- Immunology 2.6k
- Biophysics 640
- Biomedical Engineering 3.1k
- Cancer Research 950
Countries citing papers authored by Gary D. Luker
This map shows the geographic impact of Gary D. Luker'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 Gary D. Luker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary D. Luker more than expected).
Fields of papers citing papers by Gary D. Luker
This network shows the impact of papers produced by Gary D. Luker. 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 Gary D. Luker. The network helps show where Gary D. Luker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary D. Luker, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 11 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 4 | |
| 14 | 2017 | 15 | |
| 15 | 2015 | 49 | |
| 16 | 2004 | 18 | |
| 17 | 2003 | 102 | |
| 18 | 2003 | 27 | |
| 19 | 1994 | 31 | |
| 20 | Spiral CT of the temporal bone in unsedated pediatric patients. | 1993 | 16 |
About Gary D. Luker
Gary D. Luker is a scholar working on Biophysics, Oncology, Immunology, Cell Biology and Virology, having authored 225 papers that have together received 11.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (41 papers), Chemokine receptors and signaling (36 papers), 3D Printing in Biomedical Research (34 papers), Immunotherapy and Immune Responses (28 papers), bioluminescence and chemiluminescence research (20 papers), Cellular Mechanics and Interactions (20 papers), Cell Image Analysis Techniques (17 papers) and Virus-based gene therapy research (13 papers). The work is most often cited by research in Oncology (4.3k citations), Immunology (2.6k citations), Biophysics (640 citations), Biomedical Engineering (3.1k citations) and Cancer Research (950 citations). Gary D. Luker has collaborated with scholars based in United States, China and France. Frequent co-authors include Kathryn E. Luker, David Piwnica‐Worms, Shuichi Takayama, Amy Y. Hsiao, Marylou Ingram, Geeta Mehta, Matthew C. Smith, Christina M. Pica, David A. Leib and Hossein Tavana. Their work appears in journals such as Tomography, Oncogene, PLoS ONE, Integrative Biology and Scientific Reports.
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.