Saif S. Al-Sobhi

2.0k total citations
66 papers, 881 citations indexed

About

Saif S. Al-Sobhi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Saif S. Al-Sobhi has authored 66 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Surgery and 15 papers in Oncology. Recurrent topics in Saif S. Al-Sobhi's work include Thyroid Cancer Diagnosis and Treatment (43 papers), BRCA gene mutations in cancer (10 papers) and Thyroid and Parathyroid Surgery (9 papers). Saif S. Al-Sobhi is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (43 papers), BRCA gene mutations in cancer (10 papers) and Thyroid and Parathyroid Surgery (9 papers). Saif S. Al-Sobhi collaborates with scholars based in Saudi Arabia, Austria and Germany. Saif S. Al-Sobhi's 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 and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and The American Journal of Human Genetics.

In The Last Decade

Saif S. Al-Sobhi

60 papers receiving 856 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saif S. Al-Sobhi Saudi Arabia 17 379 295 260 228 205 66 881
Ning Qu China 22 623 1.6× 358 1.2× 209 0.8× 283 1.2× 310 1.5× 64 1.2k
Isabelle Peyrottes France 18 181 0.5× 293 1.0× 278 1.1× 263 1.2× 170 0.8× 41 901
Sien‐Yi Sheu Germany 19 513 1.4× 263 0.9× 196 0.8× 218 1.0× 283 1.4× 50 1.0k
Sylwia Szpak‐Ulczok Poland 14 358 0.9× 255 0.9× 130 0.5× 112 0.5× 112 0.5× 28 645
Ronald A. Ghossein United States 6 686 1.8× 267 0.9× 93 0.4× 288 1.3× 194 0.9× 8 1.0k
Philip M. Spanheimer United States 18 121 0.3× 307 1.0× 275 1.1× 390 1.7× 190 0.9× 63 865
Xiangqian Zheng China 19 612 1.6× 442 1.5× 163 0.6× 316 1.4× 189 0.9× 94 1.2k
Michelle Vinco United States 9 560 1.5× 352 1.2× 368 1.4× 183 0.8× 415 2.0× 11 973
Myriam Decaussin France 17 211 0.6× 497 1.7× 246 0.9× 272 1.2× 205 1.0× 30 931
Wenhe Zhao China 15 176 0.5× 387 1.3× 325 1.3× 218 1.0× 168 0.8× 45 886

Countries citing papers authored by Saif S. Al-Sobhi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Parvathareddy, Sandeep Kumar, Abdul K. Siraj, Saeeda O. Ahmed, et al.. (2024). Recurrent Middle Eastern Differentiated Thyroid Carcinoma Has Worse Outcomes Than Persistent Disease. Journal of Clinical Medicine. 13(7). 1877–1877. 2 indexed citations
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Al-Sobhi, Saif S., et al.. (2024). Is the nodule location a predictive risk factor for cancer in AUS/FLUS thyroid nodules? A retrospective cohort study. Asian Journal of Surgery. 47(6). 2574–2578. 1 indexed citations
5.
Parvathareddy, Sandeep Kumar, Abdul K. Siraj, Saeeda O. Ahmed, et al.. (2024). Predicting factors and clinical outcome of biochemical incomplete response in middle eastern differentiated thyroid carcinoma. Endocrine. 86(1). 268–275. 3 indexed citations
6.
Parvathareddy, Sandeep Kumar, Abdul K. Siraj, Zeeshan Qadri, et al.. (2024). The Prognostic Impact of Tumor Size and BRAF Mutational Status in Middle Eastern Differentiated Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 110(6). 1617–1623.
7.
Bu, Rong, Abdul K. Siraj, Saud Azam, et al.. (2023). Whole Exome-Wide Association Identifies Rare Variants in GALNT9 Associated with Middle Eastern Papillary Thyroid Carcinoma Risk. Cancers. 15(17). 4235–4235. 2 indexed citations
8.
Parvathareddy, Sandeep Kumar, et al.. (2023). Bilateral multifocality is an independent predictor of patients’ outcome in Middle Eastern papillary thyroid carcinoma. Frontiers in Endocrinology. 13. 1060301–1060301. 6 indexed citations
9.
Parvathareddy, Sandeep Kumar, Abdul K. Siraj, Saeeda O. Ahmed, et al.. (2022). Risk Factors for Central Lymph Node Metastases and Benefit of Prophylactic Central Lymph Node Dissection in Middle Eastern Patients With cN0 Papillary Thyroid Carcinoma. Frontiers in Oncology. 11. 819824–819824. 9 indexed citations
10.
Al-Sobhi, Saif S., et al.. (2022). The impact of thyroid imaging reporting and data system on the management of Bethesda III thyroid nodules. Journal of Taibah University Medical Sciences. 18(3). 506–511. 3 indexed citations
11.
Parvathareddy, Sandeep Kumar, Abdul K. Siraj, Rong Bu, et al.. (2022). X-linked inhibitor of apoptosis protein (XIAP) predicts disease-free survival in BRAFV600E mutant papillary thyroid carcinoma in middle eastern patients. Frontiers in Endocrinology. 13. 1054882–1054882. 3 indexed citations
12.
Bu, Rong, Abdul K. Siraj, Tariq Masoodi, et al.. (2021). Recurrent Somatic MAP2K1 Mutations in Papillary Thyroid Cancer and Colorectal Cancer. Frontiers in Oncology. 11. 670423–670423. 12 indexed citations
13.
Siraj, Abdul K., Rong Bu, Sandeep Kumar Parvathareddy, et al.. (2020). POLE and POLD1 pathogenic variants in the proofreading domain in papillary thyroid cancer. Endocrine Connections. 9(9). 923–932. 9 indexed citations
14.
Masoodi, Tariq, Abdul K. Siraj, Saud Azam, et al.. (2019). Whole-Exome Sequencing of Matched Primary and Metastatic Papillary Thyroid Cancer. Thyroid. 30(1). 42–56. 30 indexed citations
15.
Siraj, Abdul K., Poyil Pratheeshkumar, Sandeep Kumar Parvathareddy, et al.. (2019). Prognostic significance of DNMT3A alterations in Middle Eastern papillary thyroid carcinoma. European Journal of Cancer. 117. 133–144. 16 indexed citations
16.
Siraj, Abdul K., Shaham Beg, Zeenath Jehan, et al.. (2017). The role of HER2 overexpression in Middle Eastern papillary thyroid cancer. Translational Cancer Research. 6(2). 366–373. 2 indexed citations
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Hussain, Azhar R., Rong Bu, Maqbool Ahmed, et al.. (2015). Role of X-Linked Inhibitor of Apoptosis as a Prognostic Marker and Therapeutic Target in Papillary Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 100(7). E974–E985. 28 indexed citations
19.
Ahmed, Mohammed, et al.. (2003). Whole-Body Positron Emission Tomographic Scanning in Patients with Adrenal Cortical Carcinoma. Clinical Nuclear Medicine. 28(6). 494–497. 13 indexed citations
20.
Ahmed, Mohammed, et al.. (2002). Obstructive endotracheal lesions of thyroid cancer. The Journal of Laryngology & Otology. 116(8). 613–621. 8 indexed citations

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.

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