André Pfob
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
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- Breast Cancer Treatment Studies 16
- Cancer Genomics and Diagnostics 2
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- Ultrasound Imaging and Elastography 6
- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 2
- Co-authors
- Chris Sidey‐Gibbons (18 shared papers)Joerg Heil (21 shared papers)Michael Golatta (22 shared papers)Sheng-Chieh Lu (5 shared papers)Henry M. Kuerer (4 shared papers)Hans‐Peter Sinn (7 shared papers)Gaiane M. Rauch (2 shared papers)Andrea L. Pusic (7 shared papers)
- Journals
- The Breast (5 papers)JCO Clinical Cancer Informatics (3 papers)European Journal of Cancer (3 papers)Annals of Surgical Oncology (3 papers)Journal of Ultrasound in Medicine (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
André Pfob
44 papers receiving 696 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 48
- Cancer Research 204
- Radiology, Nuclear Medicine and Imaging 149
- Pathology and Forensic Medicine 77
- Health Information Management 18
Countries citing papers authored by André Pfob
This map shows the geographic impact of André Pfob'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 André Pfob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Pfob more than expected).
Fields of papers citing papers by André Pfob
This network shows the impact of papers produced by André Pfob. 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 André Pfob. The network helps show where André Pfob may publish in the future.
Co-authors
The 25 scholars most cited alongside André Pfob, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2022 | 55 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 43 | |
| 5 | 2020 | 40 | |
| 6 | 2022 | 34 | |
| 7 | 2021 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2021 | 21 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2021 | 10 |
About André Pfob
André Pfob is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine and Oncology, having authored 46 papers that have together received 706 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Implant and Reconstruction (8 papers), Ultrasound Imaging and Elastography (6 papers), Breast Lesions and Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Genomics and Diagnostics (2 papers), MRI in cancer diagnosis (2 papers) and Body Contouring and Surgery (2 papers). The work is most often cited by research in Health Informatics (48 citations), Cancer Research (204 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Pathology and Forensic Medicine (77 citations) and Health Information Management (18 citations). André Pfob has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Chris Sidey‐Gibbons, Joerg Heil, Michael Golatta, Sheng-Chieh Lu, Henry M. Kuerer, Hans‐Peter Sinn, Gaiane M. Rauch, Andrea L. Pusic, Jonas A. Nelson and Babak J. Mehrara. Their work appears in journals such as The Breast, JCO Clinical Cancer Informatics, European Journal of Cancer, Annals of Surgical Oncology and Journal of Ultrasound in Medicine.
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.