Vivek Swarup

15.4k total citations · 5 hit papers
49 papers, 4.3k citations indexed

About

Vivek Swarup is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Vivek Swarup has authored 49 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Neurology and 10 papers in Physiology. Recurrent topics in Vivek Swarup's work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Single-cell and spatial transcriptomics (7 papers) and Bioinformatics and Genomic Networks (7 papers). Vivek Swarup is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Single-cell and spatial transcriptomics (7 papers) and Bioinformatics and Genomic Networks (7 papers). Vivek Swarup collaborates with scholars based in United States, India and Canada. Vivek Swarup's co-authors include Daniel H. Geschwind, Samuel Morabito, Emily Miyoshi, Jean‐Pierre Julien, Anirban Basu, Jasna Križ, T. Grant Belgard, Daniel J. Phaneuf, Soumya Ghosh and Joydeep Ghosh and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Vivek Swarup

45 papers receiving 4.3k citations

Hit Papers

Selenium Drives a Transcriptional Adaptive Program to Blo... 2016 2026 2019 2022 2019 2016 2021 2020 2023 250 500 750

Peers

Vivek Swarup
Axel Methner Germany
Jialing Liu United States
Anand M. Iyer Netherlands
Kwang Chul Chung South Korea
Vivek Swarup
Citations per year, relative to Vivek Swarup Vivek Swarup (= 1×) peers Yuji Owada

Countries citing papers authored by Vivek Swarup

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Swarup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Swarup

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Swarup. A scholar is included among the top collaborators of Vivek Swarup 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 Vivek Swarup. Vivek Swarup 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.
Morabito, Samuel, Jennifer Stocksdale, Emily Miyoshi, et al.. (2025). Single-nucleus multi-omics identifies shared and distinct pathways in Pick’s and Alzheimer’s disease. Science Advances. 11(46). eads7973–eads7973.
2.
Miramontes, Ricardo, Jie Wu, Madhu Sudhana Saddala, et al.. (2025). Distinct molecular patterns in R6/2 HD mouse brain: Insights from spatiotemporal transcriptomics. Neuron. 113(15). 2416–2437.e6. 2 indexed citations
3.
Patel, Kunal, Riki Kawaguchi, Alvaro G. Alvarado, et al.. (2024). Single-nucleus expression characterization of non-enhancing region of recurrent high-grade glioma. Neuro-Oncology Advances. 6(1). vdae005–vdae005. 2 indexed citations
4.
Rahimzadeh, Negin, et al.. (2024). Gene networks and systems biology in Alzheimer's disease: Insights from multi‐omics approaches. Alzheimer s & Dementia. 20(5). 3587–3605. 12 indexed citations
5.
Morabito, Samuel, Fairlie Reese, Negin Rahimzadeh, Emily Miyoshi, & Vivek Swarup. (2023). hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data. Cell Reports Methods. 3(6). 100498–100498. 260 indexed citations breakdown →
6.
Alvarado, Alvaro G., Sree Deepthi Muthukrishnan, Riki Kawaguchi, et al.. (2022). Pathway-based Approach Reveals Differential Sensitivity to E2F1 Inhibition in Glioblastoma. Cancer Research Communications. 2(9). 1049–1060. 4 indexed citations
7.
Morabito, Samuel, et al.. (2022). Cortical diurnal rhythms remain intact with microglial depletion. Scientific Reports. 12(1). 114–114. 29 indexed citations
8.
Reyes-Ortiz, Andrea M., Edsel M. Abud, Jie Wu, et al.. (2022). Single-nuclei transcriptome analysis of Huntington disease iPSC and mouse astrocytes implicates maturation and functional deficits. iScience. 26(1). 105732–105732. 11 indexed citations
9.
Otero‐García, Marcos, Sameehan Mahajani, Debia Wakhloo, et al.. (2022). Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer’s disease. Neuron. 110(18). 2929–2948.e8. 108 indexed citations
10.
Das, Sudeshna, et al.. (2022). Protocol for single-nucleus ATAC sequencing and bioinformatic analysis in frozen human brain tissue. STAR Protocols. 3(3). 101491–101491. 7 indexed citations
11.
Morabito, Samuel, Emily Miyoshi, Neethu Michael, & Vivek Swarup. (2020). Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease. Human Molecular Genetics. 29(17). 2899–2919. 44 indexed citations
12.
Short, Annabel K., Yuncai Chen, Jessica L. Bolton, et al.. (2020). Unexpected Role of Physiological Estrogen in Acute Stress-Induced Memory Deficits. Journal of Neuroscience. 41(4). 648–662. 31 indexed citations
13.
Swarup, Vivek, Timothy S. Chang, Duc M. Duong, et al.. (2020). Identification of Conserved Proteomic Networks in Neurodegenerative Dementia. Cell Reports. 31(12). 107807–107807. 39 indexed citations
14.
Ruiz, Christina M., et al.. (2020). Pharmacokinetic, behavioral, and brain activity effects of Δ9-tetrahydrocannabinol in adolescent male and female rats. Neuropsychopharmacology. 46(5). 959–969. 58 indexed citations
15.
Rexach, Jessica E., Damon Polioudakis, Vivek Swarup, et al.. (2020). Tau Pathology Drives Dementia Risk-Associated Gene Networks toward Chronic Inflammatory States and Immunosuppression. Cell Reports. 33(7). 108398–108398. 59 indexed citations
16.
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
17.
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
18.
Shahin, Saba, Somanshu Banerjee, Vivek Swarup, Surya Pal Singh, & Chandra Mohini Chaturvedi. (2017). From the Cover: 2.45-GHz Microwave Radiation Impairs Hippocampal Learning and Spatial Memory: Involvement of Local Stress Mechanism-Induced Suppression of iGluR/ERK/CREB Signaling. Toxicological Sciences. 161(2). 349–374. 42 indexed citations
19.
Chandran, Vijayendran, Kun Gao, Vivek Swarup, et al.. (2017). Inducible and reversible phenotypes in a novel mouse model of Friedreich’s Ataxia. eLife. 6. 68 indexed citations
20.
Swarup, Vivek, Daniel J. Phaneuf, Christine Bareil, et al.. (2011). Pathological hallmarks of amyotrophic lateral sclerosis/frontotemporal lobar degeneration in transgenic mice produced with TDP-43 genomic fragments. Brain. 134(9). 2610–2626. 190 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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