Aliasgar Moiyadi

4.0k total citations
167 papers, 2.3k citations indexed

About

Aliasgar Moiyadi is a scholar working on Genetics, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aliasgar Moiyadi has authored 167 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Genetics, 47 papers in Epidemiology and 41 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aliasgar Moiyadi's work include Glioma Diagnosis and Treatment (94 papers), Meningioma and schwannoma management (42 papers) and Brain Metastases and Treatment (25 papers). Aliasgar Moiyadi is often cited by papers focused on Glioma Diagnosis and Treatment (94 papers), Meningioma and schwannoma management (42 papers) and Brain Metastases and Treatment (25 papers). Aliasgar Moiyadi collaborates with scholars based in India, United States and United Kingdom. Aliasgar Moiyadi's co-authors include Prakash Shetty, Sridhar Epari, Tejpal Gupta, Sanjeeva Srivastava, Sandipan Ray, Rakesh Jalali, Kishore Gollapalli, Abhishek Mahajan, Neelam Shirsat and Rekha Jain and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Aliasgar Moiyadi

154 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aliasgar Moiyadi India 26 940 802 481 404 380 167 2.3k
Alexander L. Boscia United States 5 886 0.9× 573 0.7× 218 0.5× 315 0.8× 311 0.8× 7 1.7k
David Meyronet France 27 1.0k 1.1× 878 1.1× 302 0.6× 394 1.0× 458 1.2× 115 2.6k
Fanny Burel‐Vandenbos France 26 770 0.8× 731 0.9× 308 0.6× 355 0.9× 406 1.1× 80 2.1k
Masahiro Mizoguchi Japan 30 1.3k 1.3× 976 1.2× 953 2.0× 402 1.0× 732 1.9× 164 3.4k
Yasuo Iwadate Japan 27 1.0k 1.1× 852 1.1× 249 0.5× 524 1.3× 418 1.1× 156 2.6k
Benoît Lhermitte France 18 1.1k 1.2× 821 1.0× 319 0.7× 334 0.8× 647 1.7× 77 2.5k
Fumiyuki Yamasaki Japan 29 1.2k 1.3× 810 1.0× 773 1.6× 579 1.4× 299 0.8× 190 3.2k
Matteo Simonelli Italy 27 818 0.9× 439 0.5× 389 0.8× 346 0.9× 265 0.7× 129 2.5k
Adelheid Wöehrer Austria 29 1.1k 1.1× 379 0.5× 477 1.0× 381 0.9× 198 0.5× 97 2.1k
Clark C. Chen United States 29 693 0.7× 1.1k 1.4× 200 0.4× 338 0.8× 450 1.2× 131 2.7k

Countries citing papers authored by Aliasgar Moiyadi

Since Specialization
Citations

This map shows the geographic impact of Aliasgar Moiyadi'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 Aliasgar Moiyadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliasgar Moiyadi more than expected).

Fields of papers citing papers by Aliasgar Moiyadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aliasgar Moiyadi. 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 Aliasgar Moiyadi. The network helps show where Aliasgar Moiyadi may publish in the future.

Co-authorship network of co-authors of Aliasgar Moiyadi

This figure shows the co-authorship network connecting the top 25 collaborators of Aliasgar Moiyadi. A scholar is included among the top collaborators of Aliasgar Moiyadi 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 Aliasgar Moiyadi. Aliasgar Moiyadi 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.
Cepeda, Santiago, O Esteban Sinovas, Prakash Shetty, et al.. (2025). Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room. Computers in Biology and Medicine. 193. 110481–110481. 1 indexed citations
2.
Shetty, Omshree, Ayushi Sahay, Archya Dasgupta, et al.. (2025). Adult Medulloblastoma: Clinicomolecular Spectrum, An Institutional Experience. International Journal of Surgical Pathology. 33(7). 1605–1614. 1 indexed citations
3.
Cepeda, Santiago, O Esteban Sinovas, Aliasgar Moiyadi, et al.. (2025). Prognostic Modeling of Overall Survival in Glioblastoma Using Radiomic Features Derived from Intraoperative Ultrasound: A Multi-Institutional Study. Cancers. 17(2). 280–280.
4.
Dasgupta, Archya, Vikram Gota, Ameya Puranik, et al.. (2025). Study Protocol of a Prospective Phase 2 Study of Chlorophyllin for the Management of Brain Radionecrosis in Patients With Diffuse Glioma (CHROME). Cancer Medicine. 14(5). e70657–e70657. 1 indexed citations
5.
Moiyadi, Aliasgar, et al.. (2024). Evolution of Robotics in Neurosurgery. Asian Journal of Neurosurgery. 19(4). 598–609.
6.
Chatterjee, Abhishek, Archya Dasgupta, Neelam Shirsat, et al.. (2024). Clinico-Radiological Outcomes in WNT-Subgroup Medulloblastoma. Diagnostics. 14(4). 358–358. 2 indexed citations
7.
Epari, Sridhar, et al.. (2023). Deep proteome investigation of high-grade gliomas reveals heterogeneity driving differential metabolism of 5-aminolevulinic acid. Neuro-Oncology Advances. 5(1). vdad065–vdad065. 3 indexed citations
8.
Moiyadi, Aliasgar, et al.. (2023). Implications of use of different intraoperative ultrasound modalities during glioma surgery – A comparative study of factors affecting outcomes. International Journal of Medical Informatics. 177. 105154–105154. 1 indexed citations
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Madhugiri, Venkatesh S., Aliasgar Moiyadi, Prakash Shetty, et al.. (2022). An Analysis of Eosinophil- and Basophil-Based Indices in Patients with Glioblastoma and their Correlation with Survival. World Neurosurgery. 170. e292–e300. 6 indexed citations
12.
Shetty, Prakash, et al.. (2021). Navigated ultrasound-based image guidance during resection of gliomas: practical utility in intraoperative decision-making and outcomes. Neurosurgical FOCUS. 50(1). E14–E14. 22 indexed citations
13.
Gupta, Tejpal, Shwetabh Sinha, Girish Chinnaswamy, et al.. (2021). Safety and efficacy of concurrent carboplatin during full‐dose craniospinal irradiation for high‐risk/metastatic medulloblastoma in a resource‐limited setting. Pediatric Blood & Cancer. 68(5). e28925–e28925. 8 indexed citations
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Puranik, Ameya, Venkatesh Rangarajan, Nilendu Purandare, et al.. (2021). Brain FET PET tumor‐to‐white mater ratio to differentiate recurrence from post‐treatment changes in high‐grade gliomas. Journal of Neuroimaging. 31(6). 1211–1218. 14 indexed citations
16.
Gupta, Tejpal, Priyamvada Maitre, Archya Dasgupta, et al.. (2021). Clinical Audit of Survival Outcomes and Prognostic Factors in Adolescents and Adults with Medulloblastoma. Journal of Adolescent and Young Adult Oncology. 11(1). 68–77. 6 indexed citations
17.
Madhugiri, Venkatesh S., Aliasgar Moiyadi, Prakash Shetty, et al.. (2021). Analysis of Factors Associated with Long-Term Survival in Patients with Glioblastoma. World Neurosurgery. 149. e758–e765. 22 indexed citations
18.
Madhugiri, Venkatesh S., et al.. (2021). A Questionnaire-based Survey of Clinical Neuro-oncological Practice in India. Neurology India. 69(3). 659–664. 4 indexed citations
19.
Shetty, Prakash, et al.. (2020). Customized Low-Cost Model for Hands-on Training in Intraoperative Ultrasound for Neurosurgeons: Our Experience and Review of Literature. World Neurosurgery. 143. 564–571.e2. 8 indexed citations
20.
Moiyadi, Aliasgar, et al.. (2020). Objective assessment of intraoperative tumor fluorescence reveals biological heterogeneity within glioblastomas: a biometric study. Journal of Neuro-Oncology. 146(3). 477–488. 3 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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