David Manthey
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 7
-
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- David A. Gutman (3 shared papers)Lee Cooper (4 shared papers)Jonathan Beezley (2 shared papers)Sanghoon Lee (2 shared papers)Deepak R. Chittajallu (2 shared papers)Mohammed Khalilia (1 shared paper)Pinaki Sarder (6 shared papers)Brendon Lutnick (4 shared papers)
- Journals
- Nature Methods (1 paper)Journal of the American Society of Nephrology (1 paper)Kidney International Reports (1 paper)Bioinformatics (1 paper)Journal of Pathology Informatics (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
David Manthey
10 papers receiving 150 citations
Peers
Comparison fields: 5 of 51
- Health Informatics 10
- Biophysics 39
- Artificial Intelligence 86
- Nephrology 15
- Radiology, Nuclear Medicine and Imaging 44
Countries citing papers authored by David Manthey
This map shows the geographic impact of David Manthey'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 David Manthey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Manthey more than expected).
Fields of papers citing papers by David Manthey
This network shows the impact of papers produced by David Manthey. 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 David Manthey. The network helps show where David Manthey may publish in the future.
Co-authors
The 25 scholars most cited alongside David Manthey, 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 | 2017 | 100 | |
| 2 | 2021 | 14 | |
| 3 | 2021 | 10 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2018 | 5 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 |
About David Manthey
David Manthey is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Nephrology, having authored 11 papers that have together received 153 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (3 papers), Renal Diseases and Glomerulopathies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Digital Imaging for Blood Diseases (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Health Informatics (10 citations), Biophysics (39 citations), Artificial Intelligence (86 citations), Nephrology (15 citations) and Radiology, Nuclear Medicine and Imaging (44 citations). David Manthey has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include David A. Gutman, Lee Cooper, Jonathan Beezley, Sanghoon Lee, Deepak R. Chittajallu, Mohammed Khalilia, Pinaki Sarder, Brendon Lutnick, Jan U. Becker and Kuang‐Yu Jen. Their work appears in journals such as Nature Methods, Journal of the American Society of Nephrology, Kidney International Reports, Bioinformatics and Journal of Pathology Informatics.
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.