Dan Assaf
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Co-authors
- Mordechai Gutman (5 shared papers)Yosef Shiloh (2 shared papers)Yair Neuman (3 shared papers)Asaf Biber (1 shared paper)Ronit Mor-Cohen (1 shared paper)Shiraz Gefen-Halevi (1 shared paper)Sharon Amit (1 shared paper)Galia Rahav (1 shared paper)
- Journals
- Annals of Surgical Oncology (3 papers)ANZ Journal of Surgery (3 papers)Diseases of the Colon & Rectum (2 papers)World Journal of Surgery (2 papers)Journal of Gastrointestinal Surgery (2 papers)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Dan Assaf
32 papers receiving 489 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 37
- Radiology, Nuclear Medicine and Imaging 180
- Health Information Management 35
- Oncology 164
- Modeling and Simulation 22
Countries citing papers authored by Dan Assaf
This map shows the geographic impact of Dan Assaf'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 Dan Assaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Assaf more than expected).
Fields of papers citing papers by Dan Assaf
This network shows the impact of papers produced by Dan Assaf. 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 Dan Assaf. The network helps show where Dan Assaf may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Assaf, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 166 | |
| 2 | Sporadic amplification of the HER2/neu protooncogene in adenocarcinomas of various tissues. | 1988 | 123 |
| 3 | 2021 | 39 | |
| 4 | 1989 | 31 | |
| 5 | The Impact of the COVID-19 Pandemic on General Surgery Acute Admissions and Urgent Operations: A Comparative Prospective Study. | 2020 | 16 |
| 6 | 2021 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Dan Assaf
Dan Assaf is a scholar working on Surgery, Oncology, Emergency Medicine, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 497 indexed citations. Recurring topics across this work include Appendicitis Diagnosis and Management (9 papers), Intraperitoneal and Appendiceal Malignancies (8 papers), Diverticular Disease and Complications (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hernia repair and management (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Colorectal Cancer Surgical Treatments (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (180 citations), Health Information Management (35 citations), Oncology (164 citations) and Modeling and Simulation (22 citations). Dan Assaf has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Mordechai Gutman, Yosef Shiloh, Yair Neuman, Asaf Biber, Ronit Mor-Cohen, Shiraz Gefen-Halevi, Sharon Amit, Galia Rahav, Amit Tirosh and Itzchak Levy. Their work appears in journals such as Annals of Surgical Oncology, ANZ Journal of Surgery, Diseases of the Colon & Rectum, World Journal of Surgery and Journal of Gastrointestinal Surgery.
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.