Michal Eifer
Impact in
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
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- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
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- Medical Imaging Techniques and Applications 6
- Radiopharmaceutical Chemistry and Applications 4
- Radiomics and Machine Learning in Medical Imaging 3
- Oncology 6
- Peptidase Inhibition and Analysis 2
- Co-authors
- Yael Eshet (8 shared papers)Liran Domachevsky (8 shared papers)Noam Tau (5 shared papers)Malka Gorfine (2 shared papers)Tima Davidson (4 shared papers)Eli Konen (3 shared papers)Uri Rimon (1 shared paper)Noam Nissan (2 shared papers)
- Journals
- Journal of Nuclear Medicine (4 papers)European Radiology (2 papers)Journal of Clinical Oncology (1 paper)Radiology (1 paper)Clinical Radiology (1 paper)
- Partner nations
- IsraelAustraliaUnited States
In The Last Decade
Michal Eifer
13 papers receiving 208 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 70
- Oncology 80
- Surgery 108
- Pathology and Forensic Medicine 38
- Health Informatics 2
Countries citing papers authored by Michal Eifer
This map shows the geographic impact of Michal Eifer'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 Michal Eifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Eifer more than expected).
Fields of papers citing papers by Michal Eifer
This network shows the impact of papers produced by Michal Eifer. 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 Michal Eifer. The network helps show where Michal Eifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michal Eifer, 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 | 2021 | 55 | |
| 2 | 2021 | 51 | |
| 3 | 2023 | 22 | |
| 4 | 2019 | 16 | |
| 5 | 2017 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 10 | |
| 9 | Ultra-Low Dose Chest CT with Denoising for Lung Nodule Detection. | 2021 | 8 |
| 10 | 2025 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Michal Eifer
Michal Eifer is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 209 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Lymphadenopathy Diagnosis and Analysis (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Prostate Cancer Treatment and Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (70 citations), Oncology (80 citations), Surgery (108 citations), Pathology and Forensic Medicine (38 citations) and Health Informatics (2 citations). Michal Eifer has collaborated with scholars based in Israel, Australia and United States. Frequent co-authors include Yael Eshet, Liran Domachevsky, Noam Tau, Malka Gorfine, Tima Davidson, Eli Konen, Uri Rimon, Noam Nissan, Eyal Klang and Keren Levanon. Their work appears in journals such as Journal of Nuclear Medicine, European Radiology, Journal of Clinical Oncology, Radiology and Clinical 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.