Eric Prince
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 11
-
- Single-cell and spatial transcriptomics 4
- Chromatin Remodeling and Cancer 3
- Co-authors
- Todd C. Hankinson (20 shared papers)Rajeev Vibhakar (15 shared papers)Nicholas K. Foreman (17 shared papers)Andrew M. Donson (14 shared papers)Ahmed Gilani (5 shared papers)Astrid C. Hengartner (3 shared papers)Sujatha Venkataraman (12 shared papers)Trinka Vijmasi (3 shared papers)
- Journals
- Neuro-Oncology (7 papers)Child s Nervous System (2 papers)Oncotarget (2 papers)Oncology Reports (1 paper)Journal of Neurosurgery Pediatrics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eric Prince
26 papers receiving 344 citations
Peers
Comparison fields: 5 of 52
- Genetics 149
- Health Informatics 8
- Endocrinology, Diabetes and Metabolism 84
- Neurology 53
- Structural Biology 4
Countries citing papers authored by Eric Prince
This map shows the geographic impact of Eric Prince'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 Eric Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Prince more than expected).
Fields of papers citing papers by Eric Prince
This network shows the impact of papers produced by Eric Prince. 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 Eric Prince. The network helps show where Eric Prince may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Prince, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2019 | 39 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2017 | 26 | |
| 7 | 2017 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2025 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2022 | 3 | |
| 20 | EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings. | 2023 | 3 |
About Eric Prince
Eric Prince is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Health Informatics, having authored 31 papers that have together received 349 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (9 papers), Single-cell and spatial transcriptomics (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Chromatin Remodeling and Cancer (3 papers), Microtubule and mitosis dynamics (2 papers), Neuroblastoma Research and Treatments (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Genetics (149 citations), Health Informatics (8 citations), Endocrinology, Diabetes and Metabolism (84 citations), Neurology (53 citations) and Structural Biology (4 citations). Eric Prince has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Todd C. Hankinson, Rajeev Vibhakar, Nicholas K. Foreman, Andrew M. Donson, Ahmed Gilani, Astrid C. Hengartner, Sujatha Venkataraman, Trinka Vijmasi, Vladimir Amani and Jean M. Mulcahy Levy. Their work appears in journals such as Neuro-Oncology, Child s Nervous System, Oncotarget, Oncology Reports and Journal of Neurosurgery Pediatrics.
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.