Daniel Appelbaum
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Lung Cancer Diagnosis and Treatment 4
- Renal cell carcinoma treatment 3
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Yonglin Pu (20 shared papers)Junji Shiraishi (4 shared papers)Kunio Doi (3 shared papers)Qiang Li (1 shared paper)Kristen Wroblewski (3 shared papers)Bill C. Penney (4 shared papers)Cassie A. Simon (3 shared papers)Ravi Salgia (2 shared papers)
- Journals
- Academic Radiology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Acta Radiologica (2 papers)Blood (1 paper)Radiology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel Appelbaum
35 papers receiving 968 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 351
- Pulmonary and Respiratory Medicine 274
- Cancer Research 82
- Oncology 100
Countries citing papers authored by Daniel Appelbaum
This map shows the geographic impact of Daniel Appelbaum'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 Daniel Appelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Appelbaum more than expected).
Fields of papers citing papers by Daniel Appelbaum
This network shows the impact of papers produced by Daniel Appelbaum. 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 Daniel Appelbaum. The network helps show where Daniel Appelbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Appelbaum, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 249 | |
| 2 | 2011 | 153 | |
| 3 | 2010 | 94 | |
| 4 | 2007 | 88 | |
| 5 | 2012 | 48 | |
| 6 | 2013 | 40 | |
| 7 | Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. | 2006 | 39 |
| 8 | 2012 | 35 | |
| 9 | 2010 | 29 | |
| 10 | 2008 | 27 | |
| 11 | 2006 | 24 | |
| 12 | 2015 | 23 | |
| 13 | 2015 | 20 | |
| 14 | 2018 | 15 | |
| 15 | 2010 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2007 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2003 | 8 |
About Daniel Appelbaum
Daniel Appelbaum is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Cancer Research, having authored 39 papers that have together received 990 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Renal cell carcinoma treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Renal and related cancers (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (351 citations), Pulmonary and Respiratory Medicine (274 citations), Cancer Research (82 citations) and Oncology (100 citations). Daniel Appelbaum has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yonglin Pu, Junji Shiraishi, Kunio Doi, Qiang Li, Kristen Wroblewski, Bill C. Penney, Cassie A. Simon, Ravi Salgia, Rony Kampalath and Chin-Tu Chen. Their work appears in journals such as Academic Radiology, European Journal of Nuclear Medicine and Molecular Imaging, Acta Radiologica, Blood and Radiology.
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.