Saif S. Al-Sobhi
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Surgery
- Co-authors
- Khawla S. Al‐KurayaFouad Al‐DayelAbdul K. SirajSandeep Kumar ParvathareddyRong BuShahab UddinMaqbool AhmedPrashant Bavi
- Topics
- Thyroid Cancer Diagnosis and Treatment (43 papers)BRCA gene mutations in cancer (10 papers)Thyroid and Parathyroid Surgery (9 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesThe American Journal of Human Genetics
- Partner nations
- Saudi ArabiaAustriaGermany
In The Last Decade
Saif S. Al-Sobhi
60 papers receiving 856 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 379
- Molecular Biology 295
- Cancer Research 260
- Oncology 228
- Surgery 205
Countries citing papers authored by Saif S. Al-Sobhi
This map shows the geographic impact of Saif S. Al-Sobhi'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 Saif S. Al-Sobhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saif S. Al-Sobhi more than expected).
Fields of papers citing papers by Saif S. Al-Sobhi
This network shows the impact of papers produced by Saif S. Al-Sobhi. 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 Saif S. Al-Sobhi. The network helps show where Saif S. Al-Sobhi may publish in the future.
Co-authorship network of co-authors of Saif S. Al-Sobhi
This figure shows the co-authorship network connecting the top 25 collaborators of Saif S. Al-Sobhi. A scholar is included among the top collaborators of Saif S. Al-Sobhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saif S. Al-Sobhi. Saif S. Al-Sobhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 30 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 41 | |
| 17 | 27 | |
| 18 | 39 | |
| 19 | 3 | |
| 20 | 13 |
About Saif S. Al-Sobhi
Saif S. Al-Sobhi is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Cancer Research, having authored 66 papers that have together received 881 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (43 papers), BRCA gene mutations in cancer (10 papers) and Thyroid and Parathyroid Surgery (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Cancer Research (260 citations) and Pathology and Forensic Medicine (172 citations). Saif S. Al-Sobhi has collaborated with scholars based in Saudi Arabia, Austria and Germany. Frequent co-authors include Khawla S. Al‐Kuraya, Fouad Al‐Dayel, Abdul K. Siraj, Sandeep Kumar Parvathareddy, Rong Bu, Shahab Uddin, Maqbool Ahmed, Prashant Bavi, Ezzeldin M. Ibrahim and Adnan Ezzat. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and The American Journal of Human Genetics.
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.