Peter Ntiamoah
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- Colorectal Cancer Screening and Detection 3
- Colorectal Cancer Surgical Treatments 3
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- Genetic factors in colorectal cancer 5
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- Radiomics and Machine Learning in Medical Imaging 8
- Artificial Intelligence top 10%
- AI in cancer detection 7
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- Cancer Genomics and Diagnostics 4
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- Molecular Biology Techniques and Applications 3
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- Cell Image Analysis Techniques 3
- Co-authors
- Matthew G. HannaJinru ShiaDavid S. KlimstraJaclyn F. HechtmanThomas J. FuchsLee K. TanEfsevia VakianiMartin R. Weiser
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesJapanNigeria
In The Last Decade
Peter Ntiamoah
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 51
- Oncology 199
- Health Informatics 9
- Pathology and Forensic Medicine 104
- Radiology, Nuclear Medicine and Imaging 109
- Artificial Intelligence 122
Countries citing papers authored by Peter Ntiamoah
This map shows the geographic impact of Peter Ntiamoah'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 Peter Ntiamoah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ntiamoah more than expected).
Fields of papers citing papers by Peter Ntiamoah
This network shows the impact of papers produced by Peter Ntiamoah. 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 Peter Ntiamoah. The network helps show where Peter Ntiamoah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Ntiamoah, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 79 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 0 | |
| 18 | 2019 | 11 | |
| 19 | 2016 | 145 | |
| 20 | 2013 | 27 |
About Peter Ntiamoah
Peter Ntiamoah is a scholar working on Health Informatics, Biophysics and Cancer Research, having authored 27 papers that have together received 418 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), Genetic factors in colorectal cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers), Colorectal Cancer Screening and Detection (3 papers), Colorectal Cancer Surgical Treatments (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Oncology (199 citations), Health Informatics (9 citations) and Pathology and Forensic Medicine (104 citations). Peter Ntiamoah has collaborated with scholars based in United States, Japan and Nigeria. Frequent co-authors include Matthew G. Hanna, Jinru Shia, David S. Klimstra, Jaclyn F. Hechtman, Thomas J. Fuchs, Lee K. Tan, Efsevia Vakiani, Martin R. Weiser, Dig Vijay Kumar Yarlagadda and Timothy M. D’Alfonso. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.