Nadia Caplan
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Cutaneous Melanoma Detection and Management 2
- CAR-T cell therapy research 1
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Jacob Sosna (5 shared papers)Leo Joskowicz (3 shared papers)Dalia Cohen (2 shared papers)Michal Lotem (4 shared papers)Marina Orevi (2 shared papers)Jonathan E. Cohen (1 shared paper)Aron Popovtzer (1 shared paper)Sharon Merims (2 shared papers)
- Journals
- European Radiology (2 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)Annals of Oncology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- IsraelUnited StatesTürkiye
In The Last Decade
Nadia Caplan
12 papers receiving 321 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 102
- Computer Vision and Pattern Recognition 49
- Oncology 52
- Radiation 16
Countries citing papers authored by Nadia Caplan
This map shows the geographic impact of Nadia Caplan'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 Nadia Caplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Caplan more than expected).
Fields of papers citing papers by Nadia Caplan
This network shows the impact of papers produced by Nadia Caplan. 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 Nadia Caplan. The network helps show where Nadia Caplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Caplan, 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 | 2018 | 180 | |
| 2 | 2020 | 36 | |
| 3 | 2021 | 32 | |
| 4 | 2018 | 24 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2020 | 5 | |
| 10 | Agents with tricyclic structures for treating peptic ulcer disease. | 1983 | 4 |
| 11 | 2024 | 4 | |
| 12 | 2015 | 1 |
About Nadia Caplan
Nadia Caplan is a scholar working on Oncology, Immunology, Gastroenterology, Computer Vision and Pattern Recognition and Surgery, having authored 12 papers that have together received 330 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Immunotherapy and Immune Responses (2 papers), Advanced X-ray and CT Imaging (2 papers), Image Retrieval and Classification Techniques (1 paper), Pregnancy and preeclampsia studies (1 paper), CAR-T cell therapy research (1 paper) and Appendicitis Diagnosis and Management (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Computer Vision and Pattern Recognition (49 citations), Oncology (52 citations) and Radiation (16 citations). Nadia Caplan has collaborated with scholars based in Israel, United States and Türkiye. Frequent co-authors include Jacob Sosna, Leo Joskowicz, Dalia Cohen, Michal Lotem, Marina Orevi, Jonathan E. Cohen, Aron Popovtzer, Sharon Merims, Stephen Jay Frank and Shraga Nahum Goldberg. Their work appears in journals such as European Radiology, International Journal of Computer Assisted Radiology and Surgery, European Journal of Nuclear Medicine and Molecular Imaging, Annals of Oncology and Frontiers in Oncology.
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.