Mahsa Dolatshahi

1.6k total citations
42 papers, 887 citations indexed

About

Mahsa Dolatshahi is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Mahsa Dolatshahi has authored 42 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Physiology. Recurrent topics in Mahsa Dolatshahi's work include Advanced Neuroimaging Techniques and Applications (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Alzheimer's disease research and treatments (6 papers). Mahsa Dolatshahi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Alzheimer's disease research and treatments (6 papers). Mahsa Dolatshahi collaborates with scholars based in Iran, United States and Germany. Mahsa Dolatshahi's co-authors include Farzaneh Rahmani, Mohammad Hadi Aarabi, Mohammadmahdi Sabahi, Nima Rezaei, Hossein Sanjari Moghaddam, Soheil Mohammadi, Farnam Mohebi, Maryam Haghshomar, Amir Ashraf‐Ganjouei and Frank W. Roemer and has published in prestigious journals such as Radiology, Brain Research and European Journal of Neuroscience.

In The Last Decade

Mahsa Dolatshahi

41 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahsa Dolatshahi Iran 18 258 184 180 118 118 42 887
Lin Lü China 23 288 1.1× 175 1.0× 376 2.1× 135 1.1× 177 1.5× 66 1.6k
Tetsuya Asakawa Japan 18 233 0.9× 89 0.5× 261 1.4× 45 0.4× 105 0.9× 141 1.2k
Kazuo Iwasa Japan 20 521 2.0× 213 1.2× 282 1.6× 54 0.5× 114 1.0× 93 1.2k
Binyin Li China 15 138 0.5× 403 2.2× 502 2.8× 131 1.1× 128 1.1× 41 999
Margaret E. Flanagan United States 16 128 0.5× 268 1.5× 255 1.4× 37 0.3× 151 1.3× 60 935
Jae‐Hyeok Heo South Korea 15 458 1.8× 257 1.4× 335 1.9× 35 0.3× 168 1.4× 34 1.2k
Elena Caldarazzo Ienco Italy 20 352 1.4× 168 0.9× 334 1.9× 37 0.3× 124 1.1× 41 896
Chien‐Tai Hong Taiwan 22 567 2.2× 183 1.0× 305 1.7× 44 0.4× 149 1.3× 100 1.3k
Vijayshree Yadav United States 23 281 1.1× 116 0.6× 347 1.9× 49 0.4× 77 0.7× 45 1.5k
Kazım Tuğyan Türkiye 22 126 0.5× 241 1.3× 296 1.6× 47 0.4× 142 1.2× 56 1.6k

Countries citing papers authored by Mahsa Dolatshahi

Since Specialization
Citations

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

Fields of papers citing papers by Mahsa Dolatshahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Dolatshahi

This figure shows the co-authorship network connecting the top 25 collaborators of Mahsa Dolatshahi. A scholar is included among the top collaborators of Mahsa Dolatshahi 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 Mahsa Dolatshahi. Mahsa Dolatshahi 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
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Harandi, Hamid, et al.. (2025). Neuroimaging Findings in Nondemented Frail Individuals: A Systematic Review. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13719–e13719.
3.
Mohammadi, Soheil, et al.. (2025). Altered Clearance in Alzheimer's Disease and Cerebral Amyloid Angiopathy. Neuroimaging Clinics of North America. 35(2). 277–286. 2 indexed citations
4.
Salehi, Mohammad Amin, et al.. (2024). Brain‐based sex differences in schizophrenia: A systematic review of fMRI studies. Human Brain Mapping. 45(5). e26664–e26664. 11 indexed citations
5.
6.
Mohajer, Bahram, Kamyar Moradi, Ali Guermazi, et al.. (2023). Statin use and longitudinal changes in quantitative MRI-based biomarkers of thigh muscle quality: data from Osteoarthritis Initiative. Skeletal Radiology. 53(4). 683–695. 3 indexed citations
7.
Dolatshahi, Mahsa, et al.. (2023). The Role of Thyroid Dysfunction in Alzheimer's Disease: A Systematic Review and Meta-Analysis. The Journal of Prevention of Alzheimer s Disease. 10(2). 276–286. 17 indexed citations
8.
9.
Dolatshahi, Mahsa, et al.. (2022). The interactions between adipose tissue secretions and Parkinson's disease: The role of leptin. European Journal of Neuroscience. 55(3). 873–891. 10 indexed citations
10.
Rashedi, Sina, Mahsa Dolatshahi, Mohammadmahdi Sabahi, et al.. (2022). Circular RNAs as prognostic and diagnostic biomarkers in renal cell carcinoma. Journal of Clinical Laboratory Analysis. 36(10). e24670–e24670. 3 indexed citations
11.
Mohajer, Bahram, Kamyar Moradi, Ali Guermazi, et al.. (2022). Diabetes-associated thigh muscle degeneration mediates knee osteoarthritis–related outcomes: results from a longitudinal cohort study. European Radiology. 33(1). 595–605. 6 indexed citations
12.
Dolatshahi, Mahsa, et al.. (2021). Nuclear factor‐kappa B (NF‐κB) in pathophysiology of Parkinson disease: Diverse patterns and mechanisms contributing to neurodegeneration. European Journal of Neuroscience. 54(1). 4101–4123. 61 indexed citations
13.
Dolatshahi, Mahsa, et al.. (2021). Mitigating the negative impacts of aging on cognitive function; modifiable factors associated with increasing cognitive reserve. European Journal of Neuroscience. 53(9). 3109–3124. 27 indexed citations
14.
Dolatshahi, Mahsa, Amir Ashraf‐Ganjouei, I‐Wei Wu, et al.. (2021). White matter changes in drug-naïve Parkinson's disease patients with impulse control & probable REM sleep behavior disorders. Journal of the Neurological Sciences. 430. 120032–120032. 4 indexed citations
15.
Sabahi, Mohammadmahdi, et al.. (2021). Modification of Glial Cell Activation through Dendritic Cell Vaccination: Promises for Treatment of Neurodegenerative Diseases. Journal of Molecular Neuroscience. 71(7). 1410–1424. 17 indexed citations
16.
Moghaddam, Hossein Sanjari, Abbas Tafakhori, Mahsa Dolatshahi, et al.. (2020). Evaluating Executive Functions in Patients with Juvenile Myoclonic Epilepsy Using Frontal Assessment Battery. Behavioural Neurology. 2020. 1–10. 5 indexed citations
17.
Dolatshahi, Mahsa, et al.. (2019). Pathophysiological clues to therapeutic applications of glutamate mGlu5 receptor antagonists in levodopa-induced dyskinesia. European Journal of Pharmacology. 855. 149–159. 20 indexed citations
18.
Moghaddam, Hossein Sanjari, et al.. (2018). Association of olfaction dysfunction with brain microstructure in prodromal Parkinson disease. Neurological Sciences. 40(2). 283–291. 20 indexed citations
19.
Rahmani, Farzaneh, et al.. (2016). Brain pathway differences between Parkinson’s disease patients with and without REM sleep behavior disorder. Sleep And Breathing. 21(1). 155–161. 37 indexed citations
20.
Dolatshahi, Mahsa, et al.. (2016). Structural brain network analysis in schizophrenia using minimum spanning tree. PubMed. 2016. 4075–4078. 5 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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