Tina Roostaei

1.1k total citations
18 papers, 717 citations indexed

About

Tina Roostaei is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Tina Roostaei has authored 18 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 5 papers in Neurology. Recurrent topics in Tina Roostaei's work include Multiple Sclerosis Research Studies (7 papers), Alzheimer's disease research and treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Tina Roostaei is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Alzheimer's disease research and treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Tina Roostaei collaborates with scholars based in United States, Iran and Canada. Tina Roostaei's co-authors include Arash Nazeri, Mohammad Ali Sahraian, Alireza Minagar, Philip L. De Jager, Daniel Felsky, David A. Bennett, Julie A. Schneider, Aristotle N. Voineskos, Elizabeth M. Bradshaw and Kwangsik Nho and has published in prestigious journals such as Nature Communications, NeuroImage and Neurology.

In The Last Decade

Tina Roostaei

18 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tina Roostaei United States 14 177 173 164 164 109 18 717
Shahin Aeinehband Sweden 15 130 0.7× 287 1.7× 247 1.5× 120 0.7× 38 0.3× 21 900
Vassiliki Costa Greece 17 104 0.6× 313 1.8× 253 1.5× 463 2.8× 51 0.5× 48 1.1k
Luana Gilio Italy 14 267 1.5× 129 0.7× 201 1.2× 106 0.6× 15 0.1× 38 746
Marta Panella Italy 15 46 0.3× 197 1.1× 153 0.9× 113 0.7× 59 0.5× 19 852
Carlo Lovati Italy 18 147 0.8× 210 1.2× 238 1.5× 441 2.7× 23 0.2× 57 1.1k
Francesca Romana Rizzo Italy 19 269 1.5× 253 1.5× 310 1.9× 98 0.6× 15 0.1× 35 1.0k
Yannan Fang China 12 210 1.2× 173 1.0× 193 1.2× 185 1.1× 19 0.2× 15 897
Dimitris N. Xanthos Canada 10 76 0.4× 150 0.9× 183 1.1× 545 3.3× 26 0.2× 14 1.0k
Naji Riachi Lebanon 16 177 1.0× 92 0.5× 185 1.1× 92 0.6× 22 0.2× 39 700
Liang‐Hao Guo Germany 18 67 0.4× 203 1.2× 189 1.2× 363 2.2× 22 0.2× 25 851

Countries citing papers authored by Tina Roostaei

Since Specialization
Citations

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

Fields of papers citing papers by Tina Roostaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Roostaei

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

All Works

18 of 18 papers shown
1.
Touil, Hanane, Tina Roostaei, Daniela Calini, et al.. (2023). A structured evaluation of cryopreservation in generating single-cell transcriptomes from cerebrospinal fluid. Cell Reports Methods. 3(7). 100533–100533. 8 indexed citations
2.
Roostaei, Tina, Hans‐Ulrich Klein, Yiyi Ma, et al.. (2021). Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome. Nature Communications. 12(1). 12 indexed citations
3.
Felsky, Daniel, Tina Roostaei, Kwangsik Nho, et al.. (2019). Neuropathological correlates and genetic architecture of microglial activation in elderly human brain. Nature Communications. 10(1). 409–409. 119 indexed citations
4.
Roostaei, Tina, Rahil Mashhadi, Rozita Doosti, et al.. (2018). Convergent effects of a functional C3 variant on brain atrophy, demyelination, and cognitive impairment in multiple sclerosis. Multiple Sclerosis Journal. 25(4). 532–540. 16 indexed citations
5.
Roostaei, Tina & Philip L. De Jager. (2018). Evaluating the role of genetic variation in the epigenome in health and disease. Multiple Sclerosis Journal. 24(6). 707–709. 1 indexed citations
6.
Roostaei, Tina, Daniel Felsky, Arash Nazeri, et al.. (2017). Genetic influence of plasma homocysteine on Alzheimer's disease. Neurobiology of Aging. 62. 243.e7–243.e14. 15 indexed citations
7.
Nazeri, Arash, Benoit H. Mulsant, Tarek K. Rajji, et al.. (2016). Gray Matter Neuritic Microstructure Deficits in Schizophrenia and Bipolar Disorder. Biological Psychiatry. 82(10). 726–736. 95 indexed citations
8.
Roostaei, Tina, Arash Nazeri, Daniel Felsky, et al.. (2016). Genome-wide interaction study of brain beta-amyloid burden and cognitive impairment in Alzheimer’s disease. Molecular Psychiatry. 22(2). 287–295. 55 indexed citations
9.
Bitarafan, Sama, Ali-Akbar Saboor-Yaraghi, Mohammad Ali Sahraian, et al.. (2016). Effect of Vitamin A Supplementation on fatigue and depression in Multiple Sclerosis patients: A Double-Blind Placebo-Controlled Clinical Trial.. PubMed. 15(1). 13–9. 51 indexed citations
10.
Roostaei, Tina, Min Tae M Park, Rahil Mashhadi, et al.. (2016). Channelopathy-related SCN10A gene variants predict cerebellar dysfunction in multiple sclerosis. Neurology. 86(5). 410–417. 19 indexed citations
11.
Eshaghi, Arman, Tina Roostaei, Arash Nazeri, et al.. (2015). Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis. NeuroImage Clinical. 7. 306–314. 34 indexed citations
12.
Saboor-Yaraghi, Ali Akbar, Mohammad Hossein Harirchian, Niyaz Mohammadzadeh Honarvar, et al.. (2015). The Effect of Vitamin A Supplementation on FoxP3 and TGF-β Gene Expression in Avonex-Treated Multiple Sclerosis Patients. Journal of Molecular Neuroscience. 56(3). 608–612. 35 indexed citations
13.
Nazeri, Arash, Tina Roostaei, M. Mallar Chakravarty, et al.. (2015). Genome‐wide variant by serum urate interaction in Parkinson's disease. Annals of Neurology. 78(5). 731–741. 7 indexed citations
14.
Roostaei, Tina, et al.. (2015). Impact of Melatonin on Motor, Cognitive and Neuroimaging Indices in Patients with Multiple Sclerosis.. PubMed. 14(6). 589–95. 20 indexed citations
15.
Bitarafan, Sama, Ali-Akbar Saboor-Yaraghi, Mohammad Ali Sahraian, et al.. (2015). Impact of Vitamin A Supplementation on Disease Progression in Patients with Multiple Sclerosis.. PubMed. 18(7). 435–40. 35 indexed citations
16.
Roostaei, Tina, Arash Nazeri, Mohammad Ali Sahraian, & Alireza Minagar. (2014). The Human Cerebellum. Neurologic Clinics. 32(4). 859–869. 106 indexed citations
17.
Nazeri, Arash, Habib Ganjgahi, Tina Roostaei, Thomas E. Nichols, & Mojtaba Zarei. (2014). Imaging proteomics for diagnosis, monitoring and prediction of Alzheimer's disease. NeuroImage. 102. 657–665. 23 indexed citations
18.
Eshaghi, Arman, Tina Roostaei, Hamid Reza Pouretemad, et al.. (2012). Validity and Reliability of a Persian Translation of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS). The Clinical Neuropsychologist. 26(6). 975–984. 66 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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