Luke Ternes
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Cancer Genomics and Diagnostics
Papers in
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- Cell Image Analysis Techniques 4
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- Cancer Genomics and Diagnostics 2
- Breast Cancer Treatment Studies 1
- Co-authors
- Young Hwan Chang (5 shared papers)Joe W. Gray (4 shared papers)Sean M. Gross (1 shared paper)Laura M. Heiser (1 shared paper)Marilyne Labrie (1 shared paper)Mark A. Dane (1 shared paper)Gordon Brent Mills (1 shared paper)Jia‐Ren Lin (2 shared papers)
- Journals
- The Journal of Pathology (1 paper)Cell (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Luke Ternes
8 papers receiving 482 citations
Luke Ternes's Hit Papers
Peers
Comparison fields: 5 of 61
- Biophysics 112
- Cancer Research 119
- Molecular Biology 313
- Oncology 97
- Immunology 53
Countries citing papers authored by Luke Ternes
This map shows the geographic impact of Luke Ternes'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 Luke Ternes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Ternes more than expected).
Fields of papers citing papers by Luke Ternes
This network shows the impact of papers produced by Luke Ternes. 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 Luke Ternes. The network helps show where Luke Ternes may publish in the future.
Co-authors
The 15 scholars most cited alongside Luke Ternes, 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 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 375 |
| 2 | 2022 | 48 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 9 | |
| 6 | 2020 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2024 | 1 |
About Luke Ternes
Luke Ternes is a scholar working on Biophysics, Cancer Research, Artificial Intelligence, Oncology and Molecular Biology, having authored 8 papers that have together received 488 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Breast Cancer Treatment Studies (1 paper), Cancer Cells and Metastasis (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Biophysics (112 citations), Cancer Research (119 citations), Molecular Biology (313 citations), Oncology (97 citations) and Immunology (53 citations). Luke Ternes has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Young Hwan Chang, Joe W. Gray, Sean M. Gross, Laura M. Heiser, Marilyne Labrie, Mark A. Dane, Gordon Brent Mills, Jia‐Ren Lin, Yuan Chen and Christian Lanciault. Their work appears in journals such as The Journal of Pathology, Cell, PLoS Computational Biology, Nature Communications and Nature Methods.
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.