Mohammad Khalafi

1.1k total citations
16 papers, 107 citations indexed

About

Mohammad Khalafi is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Mohammad Khalafi has authored 16 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Psychiatry and Mental health and 4 papers in Physiology. Recurrent topics in Mohammad Khalafi's work include Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Functional Brain Connectivity Studies (3 papers). Mohammad Khalafi is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Functional Brain Connectivity Studies (3 papers). Mohammad Khalafi collaborates with scholars based in Iran, United States and Iraq. Mohammad Khalafi's co-authors include Kiarash Shirbandi, Fakher Rahim, Parnian Shobeiri, Houman Sotoudeh, Mohammad Mirza‐Aghazadeh‐Attari, Aparna Singhal, Ramin Shahidi, Kewei Chen, Silky Pahlajani and Laura Beth McIntire and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Neuroradiology.

In The Last Decade

Mohammad Khalafi

13 papers receiving 103 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Khalafi Iran 6 34 20 20 19 14 16 107
Haley C. Cropper United States 7 22 0.6× 39 1.9× 6 0.3× 39 2.1× 6 0.4× 12 145
Alexandre Teles Garcez Brazil 9 38 1.1× 23 1.1× 6 0.3× 38 2.0× 3 0.2× 18 138
Kendra J. Lechtenberg United States 7 29 0.9× 44 2.2× 22 1.1× 18 0.9× 5 0.4× 8 173
Zixiao Li China 8 41 1.2× 14 0.7× 6 0.3× 5 0.3× 12 0.9× 21 166
Guozhong Niu China 9 33 1.0× 47 2.4× 36 1.8× 15 0.8× 17 1.2× 17 193
Eduard Snezhko Belarus 5 87 2.6× 56 2.8× 24 1.2× 24 1.3× 10 0.7× 12 198
Esha Datta United States 5 35 1.0× 12 0.6× 17 0.8× 4 0.2× 4 0.3× 7 132
Sung-Cheng Huang United States 7 134 3.9× 30 1.5× 23 1.1× 35 1.8× 9 0.6× 9 247
Erika Schirinzi Italy 7 9 0.3× 38 1.9× 10 0.5× 10 0.5× 13 0.9× 14 118
Odette M. Houghton United States 7 141 4.1× 58 2.9× 58 2.9× 24 1.3× 3 0.2× 19 283

Countries citing papers authored by Mohammad Khalafi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Khalafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Khalafi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Khalafi. A scholar is included among the top collaborators of Mohammad Khalafi 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 Mohammad Khalafi. Mohammad Khalafi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Khalafi, Mohammad, Seyed Hani Hojjati, Xiuyuan Wang, et al.. (2025). Concordance between Centiloid Quantification and Visual Interpretation of Amyloid PET Scans across the Alzheimer Disease Continuum. American Journal of Neuroradiology. 46(9). 1884–1892. 1 indexed citations
2.
Khalafi, Mohammad, Kaveh Kavousi, Narly Golestani, et al.. (2025). Vision language models versus machine learning models performance on polyp detection and classification in colonoscopy images. Scientific Reports. 15(1). 45484–45484.
3.
Khalafi, Mohammad, Kiarash Shirbandi, Liangdong Zhou, et al.. (2025). Diffusion Tensor Imaging along the Perivascular Space for Characterizing Cerebral Interstitial Fluid Dynamics in Alzheimer Disease: A Systematic Review and Meta-Analysis. American Journal of Neuroradiology. 47(2). 401–408.
4.
Hojjati, Seyed Hani, Gloria Chiang, Tracy Butler, et al.. (2025). Heterogeneous tau deposition patterns in the preclinical stage link to domain‐specific cognitive deficits. Alzheimer s & Dementia. 21(5). e70153–e70153. 1 indexed citations
5.
Khalafi, Mohammad, Laura Beth McIntire, Tracy Butler, et al.. (2024). Diagnostic accuracy of phosphorylated tau217 in detecting Alzheimer's disease pathology among cognitively impaired and unimpaired: A systematic review and meta‐analysis. Alzheimer s & Dementia. 21(2). e14458–e14458. 11 indexed citations
6.
Shirbandi, Kiarash, Mohammad Khalafi, Joseph John Bevelacqua, et al.. (2023). Exposure to Low Levels of Radiofrequency Electromagnetic Fields Emitted from Cell-phones as a Promising Treatment of Alzheimer’s Disease: A Scoping Review Study. Journal of Biomedical Physics and Engineering. 13(1). 3–16. 7 indexed citations
7.
Shahidi, Ramin, Sara Bagherieh, Akram Farhadi, et al.. (2023). Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis. Aging Clinical and Experimental Research. 35(11). 2333–2348. 17 indexed citations
8.
Rahim, Fakher, Mohammad Khalafi, Mohammad Davoodi, & Kiarash Shirbandi. (2023). Metabolite changes in the posterior cingulate cortex could be a signature for early detection of Alzheimer’s disease: a systematic review and meta-analysis study based on 1H-NMR. The Egyptian Journal of Neurology Psychiatry and Neurosurgery. 59(1). 4 indexed citations
9.
Rahim, Fakher, et al.. (2023). Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-analysis study. BioMedical Engineering OnLine. 22(1). 68–68. 21 indexed citations
10.
11.
Khalafi, Mohammad, et al.. (2023). Prevalence of positive findings of brain computed tomography scans in pediatric population.. PubMed. 17(2). 111–117.
12.
Ravindran, Aishwarya, Gaurav Goyal, Parnian Shobeiri, et al.. (2023). ALK-positive histiocytosis involving the cavernous sinus: A deceptive radiologic mimic of meningioma. SHILAP Revista de lepidopterología. 18(6). 2259–2263. 4 indexed citations
13.
Shirbandi, Kiarash, Reza Rikhtegar, Mohammad Khalafi, et al.. (2023). Functional Magnetic Resonance Spectroscopy of Lactate in Alzheimer Disease: A Comprehensive Review of Alzheimer Disease Pathology and the Role of Lactate. Topics in Magnetic Resonance Imaging. 32(2). 15–26. 4 indexed citations
14.
Shirbandi, Kiarash, et al.. (2021). Accuracy of deep learning model-assisted amyloid positron emission tomography scan in predicting Alzheimer's disease: A Systematic Review and meta-analysis. Informatics in Medicine Unlocked. 25. 100710–100710. 15 indexed citations
15.
Shahriari, Mahdi, et al.. (2018). Pre- and Post- birth Causes of Acute Lymphoblastic Leukemia. International Journal of Cancer Management. 11(6). 2 indexed citations
16.
Khalafi, Mohammad, et al.. (2009). Fascial Interposition Technique for Vasectomy: Is It Justified?. Urologia Internationalis. 82(3). 361–364. 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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