Parisa Farzanehfar

547 total citations
22 papers, 403 citations indexed

About

Parisa Farzanehfar is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Parisa Farzanehfar has authored 22 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 6 papers in Developmental Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Parisa Farzanehfar's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Parisa Farzanehfar is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Parisa Farzanehfar collaborates with scholars based in Australia, Sweden and Hong Kong. Parisa Farzanehfar's co-authors include Malcolm Horne, Hamid Khodakarami, Sarah McGregor, Andrew Evans, Thushara Perera, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Garun S. Hamilton, Heng Li and Denise M. O’Driscoll and has published in prestigious journals such as Sensors, Neuroscience Letters and Journal of Neurology.

In The Last Decade

Parisa Farzanehfar

22 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parisa Farzanehfar Australia 11 247 81 56 53 45 22 403
Mauro Catalan Italy 11 128 0.5× 32 0.4× 29 0.5× 55 1.0× 8 0.2× 27 349
Pierre Kolber Germany 9 131 0.5× 30 0.4× 28 0.5× 96 1.8× 9 0.2× 9 351
Kai Boetzel Germany 11 237 1.0× 67 0.8× 24 0.4× 35 0.7× 4 0.1× 17 344
Paloma Montero Spain 11 150 0.6× 18 0.2× 17 0.3× 43 0.8× 22 0.5× 18 375
Yashar Sarbaz Iran 11 123 0.5× 77 1.0× 63 1.1× 71 1.3× 5 0.1× 35 315
Conor Fearon Ireland 10 213 0.9× 92 1.1× 39 0.7× 53 1.0× 4 0.1× 56 557
Mariana H.G. Monje Spain 12 457 1.9× 180 2.2× 109 1.9× 71 1.3× 5 0.1× 33 676
Jeroen Habets Germany 10 261 1.1× 108 1.3× 54 1.0× 89 1.7× 4 0.1× 24 377
Maria Letizia Caminiti Italy 10 179 0.7× 64 0.8× 99 1.8× 47 0.9× 3 0.1× 11 341

Countries citing papers authored by Parisa Farzanehfar

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Farzanehfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Farzanehfar

This figure shows the co-authorship network connecting the top 25 collaborators of Parisa Farzanehfar. A scholar is included among the top collaborators of Parisa Farzanehfar 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 Parisa Farzanehfar. Parisa Farzanehfar 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.
Arashpour, Mehrdad, et al.. (2024). Data-Driven PM2.5 Exposure Prediction in Wildfire-Prone Regions and Respiratory Disease Mortality Risk Assessment. Fire. 7(8). 277–277. 1 indexed citations
2.
Arashpour, Mehrdad, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, et al.. (2022). Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization. Computer Applications in Engineering Education. 31(1). 83–99. 40 indexed citations
3.
Farzanehfar, Parisa, et al.. (2022). Sensor Measurements Can Characterize Fluctuations and Wearing Off in Parkinson’s Disease and Guide Therapy to Improve Motor, Non-motor and Quality of Life Scores. Frontiers in Aging Neuroscience. 14. 852992–852992. 8 indexed citations
4.
Farzanehfar, Parisa, et al.. (2022). HOSPITAL-WIDE AUDIT DETECTS HIGH PREVALENCE OF DIABETES-RELATED MEDICATION ERRORS AND CLINICAL INERTIA. INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH. 27–28. 2 indexed citations
5.
Farzanehfar, Parisa, et al.. (2020). Assessment of Wearing Off in Parkinson’s disease using objective measurement. Journal of Neurology. 268(3). 914–922. 16 indexed citations
6.
Arashpour, Mehrdad, et al.. (2019). OPTIMISING COLLABORATIVE LEARNING AND GROUP WORK AMONGST TERTIARY STUDENTS. Proceedings of International Structural Engineering and Construction. 6(1). 4 indexed citations
7.
Khodakarami, Hamid, Parisa Farzanehfar, & Malcolm Horne. (2019). The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies. Sensors. 19(10). 2241–2241. 31 indexed citations
8.
McGregor, Sarah, Denise M. O’Driscoll, Hamid Khodakarami, et al.. (2018). The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson’s disease. npj Parkinson s Disease. 4(1). 1–1. 62 indexed citations
9.
Farzanehfar, Parisa, et al.. (2018). Objective measurement in routine care of people with Parkinson’s disease improves outcomes. npj Parkinson s Disease. 4(1). 10–10. 42 indexed citations
10.
Farzanehfar, Parisa. (2018). Comparative review of adult midbrain and striatum neurogenesis with classical neurogenesis. Neuroscience Research. 134. 1–9. 33 indexed citations
11.
Phan, Dũng H., Malcolm Horne, Pubudu N. Pathirana, & Parisa Farzanehfar. (2018). Effect of Parkinsonism on Proximal Unstructured Movement Captured by Inertial Sensors. PubMed. 2018. 5507–5510. 1 indexed citations
12.
Farzanehfar, Parisa, et al.. (2017). Electrophysiological and gene expression characterization of the ontogeny of nestin-expressing cells in the adult mouse midbrain. Stem Cell Research. 23. 143–153. 3 indexed citations
13.
Farzanehfar, Parisa, et al.. (2017). Evidence of functional duplicity of Nestin expression in the adult mouse midbrain. Stem Cell Research. 19. 82–93. 14 indexed citations
14.
Farzanehfar, Parisa, Malcolm Horne, & Tim D. Aumann. (2017). Can Valproic Acid Regulate Neurogenesis from Nestin+ Cells in the Adult Midbrain?. Neurochemical Research. 42(8). 2127–2134. 7 indexed citations
15.
Farzanehfar, Parisa, Malcolm Horne, & Tim D. Aumann. (2017). An investigation of gene expression in single cells derived from Nestin-expressing cells in the adult mouse midbrain in vivo. Neuroscience Letters. 648. 34–40. 4 indexed citations
16.
Phan, Dũng H., et al.. (2017). Parkinsonian Axial Movement Capture using Wearable Sensors during the Pull Test. 4. 503–507. 1 indexed citations
17.
Farzanehfar, Parisa & Malcolm Horne. (2017). Evaluation of the Parkinson’s KinetiGraph in monitoring and managing Parkinson’s disease. Expert Review of Medical Devices. 14(8). 583–591. 25 indexed citations
18.
Farzanehfar, Parisa. (2016). Towards a Better Treatment Option for Parkinson’s Disease: A Review of Adult Neurogenesis. Neurochemical Research. 41(12). 3161–3170. 18 indexed citations
19.
Perera, Thushara, et al.. (2016). An Ambulatory Tremor Score for Parkinson’s Disease. Journal of Parkinson s Disease. 6(4). 723–731. 64 indexed citations
20.
Arashpour, Mehrdad & Parisa Farzanehfar. (2011). Project Management and Control. 1 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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