Ali Dastranj Tabrizi
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments 12
- Uterine Myomas and Treatments 4
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 11
- Endometriosis Research and Treatment 4
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- Cervical Cancer and HPV Research 5
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- Sarcoma Diagnosis and Treatment 4
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- AI in cancer detection 3
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- Intraperitoneal and Appendiceal Malignancies 3
- Co-authors
- Manizheh Sayyah-MelliBabak SokoutiMorteza GhojazadehHelmut DenkFarid MoinfarCalvin D. RoskelleyErika MehlJane Cipollone
- Journals
- SHILAP Revista de lepidopterología (2 papers)The Journal of Pathology (1 paper)Neural Computing and Applications (1 paper)
In The Last Decade
Ali Dastranj Tabrizi
30 papers receiving 418 citations
Peers
Comparison fields: 5 of 75
- Obstetrics and Gynecology 132
- Reproductive Medicine 135
- Cancer Research 37
- Oncology 61
- Molecular Medicine 11
Countries citing papers authored by Ali Dastranj Tabrizi
This map shows the geographic impact of Ali Dastranj Tabrizi'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 Ali Dastranj Tabrizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Dastranj Tabrizi more than expected).
Fields of papers citing papers by Ali Dastranj Tabrizi
This network shows the impact of papers produced by Ali Dastranj Tabrizi. 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 Ali Dastranj Tabrizi. The network helps show where Ali Dastranj Tabrizi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ali Dastranj Tabrizi, 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 | 2022 | 0 | |
| 2 | Evaluation of Sensitivity, Specificity, Positive and Negative Predictive Values of Digital Cervicography in Diagnosis of Intraepithelial Lesions, Carcinoma in Situ, and Cervical Cancer in Patients Referred to Tabriz Al-Zahra Hospital | 2019 | 2 |
| 3 | 2019 | 45 | |
| 4 | 2018 | 4 | |
| 5 | 2016 | 4 | |
| 6 | 2015 | 8 | |
| 7 | 2015 | 6 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 9 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 10 | |
| 13 | SERUM LEVELS OF COPPER AND ZINC, COPPER/ZINC RATIO IN PATIENTS WITH BENIGN AND MALIGNANT OVARIAN TUMORS | 2011 | 4 |
| 14 | 2011 | 7 | |
| 15 | 2011 | 11 | |
| 16 | 2010 | 63 | |
| 17 | 2008 | 29 | |
| 18 | Screening for cervical cancer and precancerous lesions in Tabriz | 2007 | 5 |
| 19 | 2004 | 36 | |
| 20 | 2004 | 56 |
About Ali Dastranj Tabrizi
Ali Dastranj Tabrizi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Molecular Medicine, having authored 32 papers that have together received 434 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (11 papers), Cervical Cancer and HPV Research (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Uterine Myomas and Treatments (4 papers), Endometriosis Research and Treatment (4 papers), AI in cancer detection (3 papers) and Intraperitoneal and Appendiceal Malignancies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (132 citations), Reproductive Medicine (135 citations) and Cancer Research (37 citations). Ali Dastranj Tabrizi has collaborated with scholars based in Iran, Türkiye and Austria. Frequent co-authors include Manizheh Sayyah-Melli, Babak Sokouti, Morteza Ghojazadeh, Helmut Denk, Farid Moinfar, Calvin D. Roskelley, Erika Mehl, Jane Cipollone, Steve E. Kalloger and C. Blake Gilks. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Pathology and Neural Computing and Applications.
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.