Kathryn E. Luker
Impact in
- Oncology top 1%
- Chemokine receptors and signaling
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Immunology top 2%
- Immunotherapy and Immune Responses
- interferon and immune responses
Papers in
-
- Cell Image Analysis Techniques 8
- Oncology 33
- Chemokine receptors and signaling 19
- Cancer Cells and Metastasis 9
- Co-authors
- Gary D. LukerDavid Piwnica‐WormsJoel R. GarbowErin JacksonMatthew C. SmithJulie L. PriorShuichi TakayamaMudit Gupta
- Journals
- Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular Imaging (3 papers)Neoplasia (2 papers)Small (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Kathryn E. Luker
76 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 2.0k
- Immunology 1.4k
- Biophysics 249
- Immunology and Allergy 182
- Biomedical Engineering 1.2k
Countries citing papers authored by Kathryn E. Luker
This map shows the geographic impact of Kathryn E. 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 Kathryn E. Luker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn E. Luker more than expected).
Fields of papers citing papers by Kathryn E. Luker
This network shows the impact of papers produced by Kathryn E. 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 Kathryn E. Luker. The network helps show where Kathryn E. Luker may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathryn E. 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 9 | |
| 7 | 2015 | 49 | |
| 8 | 2015 | 1 | |
| 9 | 2012 | 35 | |
| 10 | 2011 | 66 | |
| 11 | 2011 | 36 | |
| 12 | 2010 | 56 | |
| 13 | 2010 | 18 | |
| 14 | 2009 | 254 | |
| 15 | 2008 | 46 | |
| 16 | 2007 | 35 | |
| 17 | 2007 | 294 | |
| 18 | 2007 | 27 | |
| 19 | 2005 | 95 | |
| 20 | 2000 | 68 |
About Kathryn E. Luker
Kathryn E. Luker is a scholar working on Biophysics, Oncology, Immunology, Virology and Molecular Biology, having authored 76 papers that have together received 4.9k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (19 papers), Immunotherapy and Immune Responses (14 papers), bioluminescence and chemiluminescence research (12 papers), 3D Printing in Biomedical Research (11 papers), Cancer Cells and Metastasis (9 papers), interferon and immune responses (8 papers), Cell Image Analysis Techniques (8 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Oncology (2.0k citations), Immunology (1.4k citations), Biophysics (249 citations), Immunology and Allergy (182 citations) and Biomedical Engineering (1.2k citations). Kathryn E. Luker has collaborated with scholars based in United States, China and France. Frequent co-authors include Gary D. Luker, David Piwnica‐Worms, Joel R. Garbow, Erin Jackson, Matthew C. Smith, Julie L. Prior, Shuichi Takayama, Mudit Gupta, Christina M. Pica and Alnawaz Rehemtulla. Their work appears in journals such as Virology, Proceedings of the National Academy of Sciences, Molecular Imaging, Neoplasia and Small.
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.