Nima Dolatabadi

1.6k total citations
15 papers, 881 citations indexed

About

Nima Dolatabadi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Nima Dolatabadi has authored 15 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Nima Dolatabadi's work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neural Engineering (4 papers). Nima Dolatabadi is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neural Engineering (4 papers). Nima Dolatabadi collaborates with scholars based in United States, Germany and China. Nima Dolatabadi's co-authors include Rajesh Ambasudhan, Stuart A. Lipton, Dorit Trudler, Tomohiro Nakamura, Swagata Ghatak, Maria Talantova, Abdullah Sultan, Yin Wu, Scott R. McKercher and James Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Nima Dolatabadi

15 papers receiving 874 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 Dolatabadi United States 14 458 273 247 142 128 15 881
Jhon Jairo Sutachan Colombia 15 546 1.2× 275 1.0× 161 0.7× 98 0.7× 71 0.6× 31 1.0k
Maxim Dobretsov United States 19 486 1.1× 358 1.3× 510 2.1× 141 1.0× 64 0.5× 73 1.2k
Shucai Ling China 17 334 0.7× 165 0.6× 163 0.7× 39 0.3× 81 0.6× 35 835
Fang‐Xiong Zhang Canada 21 707 1.5× 619 2.3× 585 2.4× 96 0.7× 81 0.6× 31 1.4k
So-Yoon Won South Korea 20 362 0.8× 309 1.1× 241 1.0× 264 1.9× 46 0.4× 34 1.2k
Еlena Kaznacheyeva Russia 24 877 1.9× 631 2.3× 126 0.5× 119 0.8× 371 2.9× 59 1.3k
Adele Woodhouse Australia 18 341 0.7× 360 1.3× 334 1.4× 288 2.0× 40 0.3× 32 990
Pengcheng Han United States 16 335 0.7× 282 1.0× 330 1.3× 45 0.3× 82 0.6× 22 921
Yolima P. Torres Colombia 12 379 0.8× 224 0.8× 93 0.4× 36 0.3× 92 0.7× 19 630
Minghua Li United States 18 527 1.2× 512 1.9× 235 1.0× 42 0.3× 75 0.6× 34 1.1k

Countries citing papers authored by Nima Dolatabadi

Since Specialization
Citations

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

Fields of papers citing papers by Nima Dolatabadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Dolatabadi

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

All Works

15 of 15 papers shown
1.
Zhang, Xu, Roman Vlkolinský, Chongyang Wu, et al.. (2025). S-Nitrosylation of CRTC1 in Alzheimer’s disease impairs CREB-dependent gene expression induced by neuronal activity. Proceedings of the National Academy of Sciences. 122(9). e2418179122–e2418179122. 4 indexed citations
2.
Andreyev, Alexander Y., Hongmei Yang, Paschalis‐Thomas Doulias, et al.. (2024). Metabolic Bypass Rescues Aberrant S‐nitrosylation‐Induced TCA Cycle Inhibition and Synapse Loss in Alzheimer's Disease Human Neurons. Advanced Science. 11(12). e2306469–e2306469. 14 indexed citations
3.
Doulias, Paschalis‐Thomas, Hongmei Yang, Alexander Y. Andreyev, et al.. (2023). S-Nitrosylation-mediated dysfunction of TCA cycle enzymes in synucleinopathy studied in postmortem human brains and hiPSC-derived neurons. Cell chemical biology. 30(8). 965–975.e6. 13 indexed citations
4.
Trudler, Dorit, Kristopher L. Nazor, Yvonne S. Eisele, et al.. (2021). Soluble α-synuclein–antibody complexes activate the NLRP3 inflammasome in hiPSC-derived microglia. Proceedings of the National Academy of Sciences. 118(15). 98 indexed citations
5.
Ghatak, Swagata, Nima Dolatabadi, Richard Gao, et al.. (2020). NitroSynapsin ameliorates hypersynchronous neural network activity in Alzheimer hiPSC models. Molecular Psychiatry. 26(10). 5751–5765. 58 indexed citations
6.
Ghatak, Swagata, Nima Dolatabadi, Dorit Trudler, et al.. (2019). Mechanisms of hyperexcitability in Alzheimer’s disease hiPSC-derived neurons and cerebral organoids vs isogenic controls. eLife. 8. 158 indexed citations
7.
Ghatak, Swagata, Dorit Trudler, Nima Dolatabadi, & Rajesh Ambasudhan. (2018). Parkinson’s disease: what the model systems have taught us so far. Journal of Genetics. 97(3). 729–751. 17 indexed citations
8.
Oh, Chang-ki, Abdullah Sultan, Nima Dolatabadi, et al.. (2017). S-Nitrosylation of PINK1 Attenuates PINK1/Parkin-Dependent Mitophagy in hiPSC-Based Parkinson’s Disease Models. Cell Reports. 21(8). 2171–2182. 107 indexed citations
9.
Sunico, Carmen R., Abdullah Sultan, Tomohiro Nakamura, et al.. (2016). Role of sulfiredoxin as a peroxiredoxin-2 denitrosylase in human iPSC-derived dopaminergic neurons. Proceedings of the National Academy of Sciences. 113(47). E7564–E7571. 34 indexed citations
10.
Akhtar, Mohd Waseem, Sara Sanz‐Blasco, Nima Dolatabadi, et al.. (2016). Elevated glucose and oligomeric β-amyloid disrupt synapses via a common pathway of aberrant protein S-nitrosylation. Nature Communications. 7(1). 10242–10242. 93 indexed citations
11.
Zhang, Dongxian, Brian Lee, Paul H. Song, et al.. (2015). Protection from cyanide‐induced brain injury by the Nrf2 transcriptional activator carnosic acid. Journal of Neurochemistry. 133(6). 898–908. 47 indexed citations
12.
Ambasudhan, Rajesh, et al.. (2014). Potential for cell therapy in Parkinson's disease using genetically programmed human embryonic stem cell–derived neural progenitor cells. The Journal of Comparative Neurology. 522(12). 2845–2856. 38 indexed citations
13.
Piña-Crespo, Juan, Maria Talantova, Eun‐Gyung Cho, et al.. (2012). High-Frequency Hippocampal Oscillations Activated by Optogenetic Stimulation of Transplanted Human ESC-Derived Neurons. Journal of Neuroscience. 32(45). 15837–15842. 28 indexed citations
14.
Völkers, Mirko, Nima Dolatabadi, Natalie Gude, et al.. (2012). Orai1 deficiency leads to heart failure and skeletal myopathy in zebrafish. Journal of Cell Science. 125(2). 287–294. 46 indexed citations
15.
Voelkers, Mirko, Nicole Herzog, Derk Frank, et al.. (2010). Orai1 and Stim1 regulate normal and hypertrophic growth in cardiomyocytes. Journal of Molecular and Cellular Cardiology. 48(6). 1329–1334. 126 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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