Neelroop Parikshak

15.0k total citations · 5 hit papers
37 papers, 5.4k citations indexed

About

Neelroop Parikshak is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Neelroop Parikshak has authored 37 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Cognitive Neuroscience. Recurrent topics in Neelroop Parikshak's work include Dementia and Cognitive Impairment Research (9 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Alzheimer's disease research and treatments (7 papers). Neelroop Parikshak is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Alzheimer's disease research and treatments (7 papers). Neelroop Parikshak collaborates with scholars based in United States, United Kingdom and Singapore. Neelroop Parikshak's co-authors include Daniel H. Geschwind, Michael J. Gandal, Paul M. Thompson, Hyejung Won, Arthur W. Toga, Jennifer K. Lowe, Xue Hua, Steve Horvath, Vijayendran Chandran and Alex Leow and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Neelroop Parikshak

37 papers receiving 5.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrative Functional Genomic Analyses Implicate Specific Molecular Pathways and Circuits in Autism

2013 691 citations Neelroop Parikshak, Rui Luo et al. Cell profile →
Brain structure and obesity

2009 542 citations Neelroop Parikshak, Xue Hua et al. Human Brain Mapping profile →
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism

2016 445 citations Neelroop Parikshak, Vivek Swarup et al. Nature profile →
A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains

2014 443 citations Manuel Irimia, Robert J. Weatheritt et al. Cell profile →
Chromosome conformation elucidates regulatory relationships in developing human brain

2016 347 citations Hyejung Won, Luis de la Torre-Ubieta et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neelroop Parikshak United States	28	2.7k	1.7k	1.5k	800	723	37	5.4k
Jason L. Stein United States	35	2.0k 0.7×	1.6k 0.9×	1.9k 1.3×	652 0.8×	740 1.0×	101	5.6k
Panos Roussos United States	44	2.4k 0.9×	1.2k 0.7×	650 0.4×	626 0.8×	696 1.0×	140	5.0k
Aiden Corvin Ireland	43	2.0k 0.7×	2.1k 1.2×	1.5k 1.0×	302 0.4×	1.4k 2.0×	169	6.0k
Rita M. Cantor United States	45	2.8k 1.0×	3.4k 2.0×	2.6k 1.7×	499 0.6×	566 0.8×	90	7.2k
Margaret A. Pericak‐Vance United States	31	1.5k 0.6×	1.9k 1.1×	2.0k 1.3×	860 1.1×	678 0.9×	45	4.6k
Jonathan L. Haines United States	35	1.6k 0.6×	1.7k 1.0×	1.1k 0.7×	328 0.4×	318 0.4×	66	4.2k
Osamu Saitoh Japan	42	2.0k 0.7×	1.2k 0.7×	2.2k 1.4×	232 0.3×	935 1.3×	161	6.3k
Sven Cichon Germany	50	2.8k 1.0×	3.1k 1.8×	1.6k 1.0×	732 0.9×	2.0k 2.7×	217	8.8k
Weihua Yue China	29	1.1k 0.4×	818 0.5×	858 0.6×	297 0.4×	574 0.8×	200	3.1k
Dimitrios Avramopoulos United States	37	1.5k 0.5×	1.5k 0.9×	745 0.5×	476 0.6×	1.0k 1.4×	114	4.1k

Countries citing papers authored by Neelroop Parikshak

Since Specialization

Citations

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

Fields of papers citing papers by Neelroop Parikshak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelroop Parikshak

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

All Works

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20 of 20 papers shown

Parikshak, Neelroop, Daria Zamolodchikov, Sahar Gelfman, et al.. (2024). Transcriptional profiling in microglia across physiological and pathological states identifies a transcriptional module associated with neurodegeneration. Communications Biology. 7(1). 1168–1168. 8 indexed citations

Andrews, Madeline G., Li Wang, Jayden Ross, et al.. (2023). LIF signaling regulates outer radial glial to interneuron fate during human cortical development. Cell stem cell. 30(10). 1382–1391.e5. 28 indexed citations

Wong, Chloe C. Y., Rebecca G. Smith, Eilís Hannon, et al.. (2019). Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic autism in post-mortem human brain tissue. Human Molecular Genetics. 28(13). 2201–2211. 59 indexed citations

Raznahan, Armin, Neelroop Parikshak, Jonathan D. Blumenthal, et al.. (2018). Sex-chromosome dosage effects on gene expression in humans. Proceedings of the National Academy of Sciences. 115(28). 7398–7403. 118 indexed citations

Kimura, Ryo, Vivek Swarup, Kiyotaka Tomiwa, et al.. (2018). Integrative network analysis reveals biological pathways associated with Williams syndrome. Journal of Child Psychology and Psychiatry. 60(5). 585–598. 21 indexed citations

Schwede, Matthew, Shailender Nagpal, Michael J. Gandal, et al.. (2018). Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex. Journal of Neurodevelopmental Disorders. 10(1). 18–18. 41 indexed citations

Parras, Alberto, María Santos‐Galindo, Vivek Swarup, et al.. (2018). Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing. Nature. 560(7719). 441–446. 104 indexed citations

Sun, Wenjie, Jérémie Poschmann, Neelroop Parikshak, et al.. (2016). Histone Acetylome-wide Association Study of Autism Spectrum Disorder. Cell. 167(5). 1385–1397.e11. 185 indexed citations

Won, Hyejung, Luis de la Torre-Ubieta, Jason L. Stein, et al.. (2016). Chromosome conformation elucidates regulatory relationships in developing human brain. Nature. 538(7626). 523–527. 347 indexed citations breakdown →

10.

Wu, Ye, Neelroop Parikshak, T. Grant Belgard, & Daniel H. Geschwind. (2016). Genome-wide, integrative analysis implicates microRNA dysregulation in autism spectrum disorder. Nature Neuroscience. 19(11). 1463–1476. 144 indexed citations

11.

Gandal, Michael J., Virpi Leppä, Hyejung Won, Neelroop Parikshak, & Daniel H. Geschwind. (2016). The road to precision psychiatry: translating genetics into disease mechanisms. Nature Neuroscience. 19(11). 1397–1407. 135 indexed citations

12.

Bakken, Trygve E., Jeremy A. Miller, Rui Luo, et al.. (2015). Spatiotemporal dynamics of the postnatal developing primate brain transcriptome. Human Molecular Genetics. 24(15). 4327–4339. 27 indexed citations

13.

Parikshak, Neelroop, Michael J. Gandal, & Daniel H. Geschwind. (2015). Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders. Nature Reviews Genetics. 16(8). 441–458. 278 indexed citations

14.

Lee, Ji-Ann, Andrey Damianov, Chia-Ho Lin, et al.. (2015). Cytoplasmic Rbfox1 Regulates the Expression of Synaptic and Autism-Related Genes. Neuron. 89(1). 113–128. 152 indexed citations

15.

Stein, Jason L., Luis de la Torre-Ubieta, Yuan Tian, et al.. (2014). A Quantitative Framework to Evaluate Modeling of Cortical Development by Neural Stem Cells. Neuron. 83(1). 69–86. 137 indexed citations

16.

Irimia, Manuel, Robert J. Weatheritt, Jonathan D. Ellis, et al.. (2014). A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains. Cell. 159(7). 1511–1523. 443 indexed citations breakdown →

17.

Fogel, Brent L., Eric Wexler, Amanda Wahnich, et al.. (2012). RBFOX1 regulates both splicing and transcriptional networks in human neuronal development. Human Molecular Genetics. 21(19). 4171–4186. 145 indexed citations

18.

Morra, Jonathan H., Zhuowen Tu, Liana G. Apostolova, et al.. (2009). Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Human Brain Mapping. 30(9). 2766–2788. 156 indexed citations

19.

Aganj, Iman, Guillermo Sapiro, Neelroop Parikshak, Sarah K. Madsen, & Paul M. Thompson. (2009). Measurement of cortical thickness from MRI by minimum line integrals on soft‐classified tissue. Human Brain Mapping. 30(10). 3188–3199. 36 indexed citations

20.

Morra, Jonathan H., Zhuowen Tu, Liana G. Apostolova, et al.. (2008). Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. NeuroImage. 45(1). S3–S15. 195 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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