Samer Saadi
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Co-authors
- M. Hassan Murad (29 shared papers)Tarek Nayfeh (21 shared papers)Zhen Wang (14 shared papers)Bashar Hasan (19 shared papers)Magdoleen H. Farah (14 shared papers)Sahrish Shah (10 shared papers)Rami Abd‐Rabu (8 shared papers)Mohammed Firwana (17 shared papers)
- Journals
- Journal of Vascular Surgery (5 papers)BMJ evidence-based medicine (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Hepatology (3 papers)Mayo Clinic Proceedings (2 papers)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Samer Saadi
27 papers receiving 412 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 23
- Hepatology 60
- Pathology and Forensic Medicine 100
- Statistics, Probability and Uncertainty 38
- Psychiatry and Mental health 70
Countries citing papers authored by Samer Saadi
This map shows the geographic impact of Samer Saadi'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 Samer Saadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samer Saadi more than expected).
Fields of papers citing papers by Samer Saadi
This network shows the impact of papers produced by Samer Saadi. 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 Samer Saadi. The network helps show where Samer Saadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Samer Saadi, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 84 | |
| 2 | 2020 | 56 | |
| 3 | 2024 | 33 | |
| 4 | 2024 | 31 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 24 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2025 | 3 |
About Samer Saadi
Samer Saadi is a scholar working on Surgery, Oncology, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 35 papers that have together received 420 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers), Healthcare cost, quality, practices (2 papers) and Reliability and Agreement in Measurement (2 papers). The work is most often cited by research in Health Informatics (23 citations), Hepatology (60 citations), Pathology and Forensic Medicine (100 citations), Statistics, Probability and Uncertainty (38 citations) and Psychiatry and Mental health (70 citations). Samer Saadi has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include M. Hassan Murad, Tarek Nayfeh, Zhen Wang, Bashar Hasan, Magdoleen H. Farah, Sahrish Shah, Rami Abd‐Rabu, Mohammed Firwana, Meritxell Urtecho and Larry J. Prokop. Their work appears in journals such as Journal of Vascular Surgery, BMJ evidence-based medicine, The Journal of Clinical Endocrinology & Metabolism, Hepatology and Mayo Clinic Proceedings.
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.