Peter Ntiamoah
- Oncology
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Pulmonary and Respiratory Medicine
- Co-authors
- Matthew G. HannaJinru ShiaDavid S. KlimstraJaclyn F. HechtmanThomas J. FuchsLee K. TanEfsevia VakianiMartin R. Weiser
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (7 papers)Genetic factors in colorectal cancer (5 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- United StatesJapanNigeria
In The Last Decade
Peter Ntiamoah
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 51
- Oncology 199
- Artificial Intelligence 122
- Radiology, Nuclear Medicine and Imaging 109
- Pathology and Forensic Medicine 104
- Pulmonary and Respiratory Medicine 60
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 of co-authors of Peter Ntiamoah
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ntiamoah. A scholar is included among the top collaborators of Peter Ntiamoah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Ntiamoah. Peter Ntiamoah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 79 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 11 | |
| 19 | 145 | |
| 20 | 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) and Genetic factors in colorectal cancer (5 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.