Nima Naseri

628 total citations
10 papers, 456 citations indexed

About

Nima Naseri is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Nima Naseri has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Physiology. Recurrent topics in Nima Naseri's work include Cellular transport and secretion (3 papers), Lysosomal Storage Disorders Research (3 papers) and Mitochondrial Function and Pathology (2 papers). Nima Naseri is often cited by papers focused on Cellular transport and secretion (3 papers), Lysosomal Storage Disorders Research (3 papers) and Mitochondrial Function and Pathology (2 papers). Nima Naseri collaborates with scholars based in United States and Iran. Nima Naseri's co-authors include Manu Sharma, Hong Wang, Jennifer D. Guo, Wenjie Luo, Larry C. Park, Jacqueline Burré, Milen Velinov, Hui Xu, Jamshid Arjomand and Gary E. Gibson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nima Naseri

10 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nima Naseri United States 8 230 188 82 77 69 10 456
Orgeta Zejneli France 3 273 1.2× 231 1.2× 82 1.0× 92 1.2× 69 1.0× 4 486
Adrianne S. Chesser United States 5 223 1.0× 160 0.9× 105 1.3× 78 1.0× 48 0.7× 6 550
Anna Oczkowska Poland 7 184 0.8× 194 1.0× 109 1.3× 75 1.0× 45 0.7× 13 496
Pierre Garcia Luxembourg 10 139 0.6× 184 1.0× 75 0.9× 57 0.7× 64 0.9× 21 381
Zhengwei Hu China 13 184 0.8× 320 1.7× 105 1.3× 116 1.5× 79 1.1× 37 642
Ravi Rajmohan United States 8 258 1.1× 257 1.4× 70 0.9× 86 1.1× 106 1.5× 19 655
Michala Kolarova Czechia 5 263 1.1× 172 0.9× 80 1.0× 63 0.8× 80 1.2× 8 402
Jinwang Ye China 13 274 1.2× 275 1.5× 139 1.7× 140 1.8× 103 1.5× 20 606
Sarah Gourmaud United States 8 185 0.8× 139 0.7× 114 1.4× 70 0.9× 52 0.8× 11 388
Gerard ILL‐Raga Spain 12 316 1.4× 306 1.6× 63 0.8× 130 1.7× 65 0.9× 15 622

Countries citing papers authored by Nima Naseri

Since Specialization
Citations

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

Fields of papers citing papers by Nima Naseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Naseri

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

All Works

10 of 10 papers shown
1.
Naseri, Nima, Sarshan R. Pather, Erinc Hallacli, et al.. (2024). Sequential CRISPR screening reveals partial NatB inhibition as a strategy to mitigate alpha-synuclein levels in human neurons. Science Advances. 10(6). eadj4767–eadj4767. 5 indexed citations
2.
Naseri, Nima, et al.. (2022). Lysosomal exocytosis releases pathogenic α-synuclein species from neurons in synucleinopathy models. Nature Communications. 13(1). 4918–4918. 61 indexed citations
3.
Naseri, Nima, Mina Mirian, & Mohammad Reza Mofid. (2022). Expression of Recombinant Insulin-Like Growth Factor-Binding Protein-3 Receptor in Mammalian Cell Line and Prokaryotic (Escherichia coli) Expression Systems. SHILAP Revista de lepidopterología. 11(1). 19–19. 4 indexed citations
4.
Naseri, Nima, Manu Sharma, & Milen Velinov. (2020). Autosomal dominant neuronal ceroid lipofuscinosis: Clinical features and molecular basis. Clinical Genetics. 99(1). 111–118. 23 indexed citations
5.
Naseri, Nima, Qingqiu Huang, Rong Huang, et al.. (2020). Aggregation of mutant cysteine string protein-α via Fe–S cluster binding is mitigated by iron chelators. Nature Structural & Molecular Biology. 27(2). 192–201. 15 indexed citations
6.
Naseri, Nima, Hong Wang, Jennifer D. Guo, Manu Sharma, & Wenjie Luo. (2019). The complexity of tau in Alzheimer’s disease. Neuroscience Letters. 705. 183–194. 266 indexed citations
7.
Naseri, Nima, Hui Xu, Larry C. Park, et al.. (2016). Novel Metabolic Abnormalities in the Tricarboxylic Acid Cycle in Peripheral Cells From Huntington’s Disease Patients. PLoS ONE. 11(9). e0160384–e0160384. 24 indexed citations
8.
Naseri, Nima, Hui Xu, Jean Paul Vonsattel, et al.. (2015). Abnormalities in the Tricarboxylic Acid Cycle in Huntington Disease and in a Huntington Disease Mouse Model. Journal of Neuropathology & Experimental Neurology. 74(6). 527–537. 42 indexed citations
9.
Abdi, Mohammad, et al.. (2015). Serum Adenosine Deaminase (ADA) Activity: A Novel Screening Test to Differentiate HIV Monoinfection From HIV‐HBV and HIV‐HCV Coinfections. Journal of Clinical Laboratory Analysis. 30(3). 200–203. 9 indexed citations
10.
Kalantar, Enayatollah, et al.. (2014). Neonatal bacteriemia isolates and their antibiotic resistance pattern in neonatal insensitive care unit (NICU) at Beasat Hospital, Sanandaj, Iran.. PubMed. 52(5). 337–40. 7 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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