Ibrahim Mohammadzadeh

2.6k total citations · 2 hit papers
24 papers, 76 citations indexed

About

Ibrahim Mohammadzadeh is a scholar working on Neurology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Ibrahim Mohammadzadeh has authored 24 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 7 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Ibrahim Mohammadzadeh's work include Glioma Diagnosis and Treatment (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Trigeminal Neuralgia and Treatments (5 papers). Ibrahim Mohammadzadeh is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Trigeminal Neuralgia and Treatments (5 papers). Ibrahim Mohammadzadeh collaborates with scholars based in Iran, United States and Türkiye. Ibrahim Mohammadzadeh's co-authors include Mohammad Amin Habibi, Abdulrahman Albakr, Sabino Luzzi, Abbasali Keshtkar, Pouria Delbari, Masoud Najafi, Abdolkhalegh Keshavarzi, Adam A. Dmytriw, Abbas Aliaghaei and Daniel Aaronson and has published in prestigious journals such as European Journal of Clinical Pharmacology, Clinical & Experimental Metastasis and Neuroradiology.

In The Last Decade

Ibrahim Mohammadzadeh

14 papers receiving 76 citations

Hit Papers

Can we rely on machine learning algorithms as a trustwort... 2025 2026 2025 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Can we rely on machine learning algorithms as a trustworthy predictor for recurrence in high-grade glioma? A systematic review and meta-analysis
    2025 15 citations Ibrahim Mohammadzadeh, Mohammad Amin Habibi et al. Clinical Neurology and Neurosurgery profile →
  2. Leveraging machine learning algorithms to forecast delayed cerebral ischemia following subarachnoid hemorrhage: a systematic review and meta-analysis of 5,115 participants
    2025 15 citations Ibrahim Mohammadzadeh et al. Neurosurgical Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim Mohammadzadeh Iran 5 28 25 23 16 15 24 76
Veronica Picotti Italy 5 23 0.8× 15 0.6× 16 0.7× 12 0.8× 4 0.3× 10 54
Julieann C. Lee United States 5 19 0.7× 35 1.4× 7 0.3× 28 1.8× 20 1.3× 8 67
Hélène Oesterle France 4 41 1.5× 11 0.4× 10 0.4× 3 0.2× 4 0.3× 7 86
Walter Galicich United States 2 8 0.3× 33 1.3× 39 1.7× 16 1.0× 6 0.4× 3 65
Patrícia Marques‐Alves Portugal 6 5 0.2× 5 0.2× 30 1.3× 13 0.8× 9 0.6× 19 85
Sara Madaschi Italy 6 11 0.4× 22 0.9× 2 0.1× 7 0.4× 82 5.5× 7 113
Marzia Medone Italy 4 45 1.6× 17 0.7× 5 0.2× 71 4.4× 71 4.7× 6 117
Vishal Vyas United Kingdom 7 4 0.1× 4 0.2× 20 0.9× 15 0.9× 8 0.5× 12 184
Sameh R. Tawadros Egypt 5 33 1.2× 17 0.7× 2 0.1× 43 2.7× 19 1.3× 10 57
Shahid Waheed Pakistan 4 29 1.0× 10 0.4× 2 0.1× 38 2.4× 6 0.4× 10 52

Countries citing papers authored by Ibrahim Mohammadzadeh

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Mohammadzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Mohammadzadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Mohammadzadeh. A scholar is included among the top collaborators of Ibrahim Mohammadzadeh 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 Ibrahim Mohammadzadeh. Ibrahim Mohammadzadeh 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.
Mohammadzadeh, Ibrahim, et al.. (2025). Radiosurgery for Glossopharyngeal Neuralgia: A Systematic Review and Meta-Analysis. World Neurosurgery. 202. 124389–124389.
2.
Mohammadzadeh, Ibrahim, et al.. (2025). Application of artificial intelligence in forecasting survival in high-grade glioma: systematic review and meta-analysis involving 79,638 participants. Neurosurgical Review. 48(1). 240–240. 11 indexed citations
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Mohammadzadeh, Ibrahim, et al.. (2025). Deep Learning-Based Models for Ventricular Segmentation in Hydrocephalus: A Systematic Review and Meta-Analysis. World Neurosurgery. 198. 124001–124001.
5.
Mohammadzadeh, Ibrahim, et al.. (2025). Can we rely on machine learning algorithms as a trustworthy predictor for recurrence in high-grade glioma? A systematic review and meta-analysis. Clinical Neurology and Neurosurgery. 249. 108762–108762. 15 indexed citations breakdown →
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Habibi, Mohammad Amin, et al.. (2025). The clinical benefit of adding radiotherapy to ipilimumab in patients with melanoma brain metastasis: a systematic review and meta-analysis. Clinical & Experimental Metastasis. 42(2). 17–17. 1 indexed citations
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Mohammadzadeh, Ibrahim, et al.. (2025). Efficacy and safety of stereotactic radiosurgery for large meningiomas: A comprehensive systematic review and meta-analysis. Journal of Clinical Neuroscience. 138. 111384–111384.
12.
Mohammadzadeh, Ibrahim, et al.. (2025). Prediction of facial nerve outcomes after surgery for vestibular schwannoma using machine learning-based models: a systematic review and meta-analysis. Neurosurgical Review. 48(1). 79–79. 4 indexed citations
13.
Mohammadzadeh, Ibrahim, et al.. (2025). Using machine learning to predict remission after surgery for pituitary adenoma: a systematic review and meta-analysis. Endocrine. 90(2). 375–390. 2 indexed citations
14.
Delbari, Pouria, et al.. (2025). Drug-eluting stent versus bare metal stent for symptomatic intracranial stenosis: a comparative systematic review and meta-analysis study. European Journal of Clinical Pharmacology. 81(7). 939–954.
15.
Habibi, Mohammad Amin, et al.. (2025). The effect of radiotherapy on patients with EGFR-driven lung cancer brain metastasis: a systematic review and meta-analysis. Discover Oncology. 16(1). 1023–1023. 3 indexed citations
16.
Mohammadzadeh, Ibrahim, et al.. (2025). Can machine learning be a reliable tool for predicting hematoma progression following traumatic brain injury? A systematic review and meta-analysis. Neuroradiology. 67(7). 1733–1749. 3 indexed citations
17.
Habibi, Mohammad Amin, et al.. (2025). The safety and efficacy of tyrosine kinase inhibitors against EGFR in patients with glioma; A systematic review, meta-analysis, and sub-group analysis on glioblastoma. Journal of Clinical Neuroscience. 135. 111138–111138. 1 indexed citations
18.
Mohammadzadeh, Ibrahim, et al.. (2025). Outcomes of stereotactic radiosurgery in nelson’s syndrome: a systematic review and Meta-Analysis. Pituitary. 28(5). 94–94.
19.
Mohammadzadeh, Ibrahim, et al.. (2024). Coagulopathy at admission in traumatic brain injury and its association with hematoma progression: A systematic review and meta-analysis of 2411 patients. Clinical Neurology and Neurosurgery. 249. 108699–108699. 4 indexed citations
20.
Mohammadzadeh, Ibrahim, et al.. (2024). Machine learning for predicting poor outcomes in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis involving 8445 participants. Clinical Neurology and Neurosurgery. 249. 108668–108668. 14 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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