Luke Ternes
Impact in
-
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
-
- AI in cancer detection
Papers in
-
- AI in cancer detection 3
-
- Cell Image Analysis Techniques 3
- Co-authors
- Joe W. Gray (4 shared papers)Young Hwan Chang (5 shared papers)Mark Dane (1 shared paper)Laura M. Heiser (1 shared paper)Marilyne Labrie (1 shared paper)Gordon B. Mills (1 shared paper)Sean M. Gross (1 shared paper)Jia‐Ren Lin (2 shared papers)
- Journals
- Scientific Reports (1 paper)The Journal of Pathology (1 paper)PLoS Computational Biology (1 paper)Communications Biology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United States
In The Last Decade
Luke Ternes
4 papers receiving 39 citations
Peers
Comparison fields: 5 of 29
- Biophysics 18
- Artificial Intelligence 14
- Radiology, Nuclear Medicine and Imaging 8
- Media Technology 3
- Molecular Biology 19
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 17 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 | 2022 | 26 | |
| 2 | 2023 | 6 | |
| 3 | 2020 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2024 | 0 |
About Luke Ternes
Luke Ternes is a scholar working on Artificial Intelligence, Biophysics, Molecular Biology, Oncology and Surgery, having authored 5 papers that have together received 41 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers), Single-cell and spatial transcriptomics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Colorectal Cancer Screening and Detection (1 paper), Phagocytosis and Immune Regulation (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Biophysics (18 citations), Artificial Intelligence (14 citations), Radiology, Nuclear Medicine and Imaging (8 citations), Media Technology (3 citations) and Molecular Biology (19 citations). Luke Ternes has collaborated with scholars based in United States. Frequent co-authors include Joe W. Gray, Young Hwan Chang, Mark Dane, Laura M. Heiser, Marilyne Labrie, Gordon B. Mills, Sean M. Gross, Jia‐Ren Lin, Christian Lanciault and Chen Yuan. Their work appears in journals such as Scientific Reports, The Journal of Pathology, PLoS Computational Biology, Communications Biology and SHILAP Revista de lepidopterología.
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.