Meeta Mistry

2.1k total citations
26 papers, 1.3k citations indexed

About

Meeta Mistry is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Meeta Mistry has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Aging. Recurrent topics in Meeta Mistry's work include Bioinformatics and Genomic Networks (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Gene expression and cancer classification (4 papers). Meeta Mistry is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Gene expression and cancer classification (4 papers). Meeta Mistry collaborates with scholars based in United States, Canada and China. Meeta Mistry's co-authors include Paul Pavlidis, Jesse Gillis, Jeremy M. Van Raamsdonk, Sonja K. Soo, Shannan J. Ho Sui, Siobhan McCarthy, Seungtai Yoon, Derek W. Morris, Eric Antoniou and W. Richard McCombie and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Meeta Mistry

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meeta Mistry United States 16 777 302 133 130 113 26 1.3k
Attila Szebeni United States 20 1.3k 1.7× 199 0.7× 90 0.7× 46 0.4× 78 0.7× 24 2.0k
Vicky Yao United States 12 611 0.8× 205 0.7× 82 0.6× 180 1.4× 118 1.0× 22 1.0k
Tiemo J. Klisch United States 21 1.1k 1.4× 185 0.6× 103 0.8× 107 0.8× 136 1.2× 35 2.2k
Shinichiro Taya Japan 25 1.5k 1.9× 343 1.1× 68 0.5× 45 0.3× 111 1.0× 36 2.1k
Lukasz Swiech Poland 14 1.3k 1.7× 319 1.1× 171 1.3× 58 0.4× 89 0.8× 17 1.9k
Akiko Yanagiya Canada 19 1.1k 1.4× 116 0.4× 75 0.6× 82 0.6× 57 0.5× 31 1.5k
Rory Kirchner United States 21 994 1.3× 253 0.8× 175 1.3× 35 0.3× 57 0.5× 36 1.8k
Sunil Mehta United States 18 1.2k 1.6× 159 0.5× 132 1.0× 53 0.4× 124 1.1× 36 1.9k
Yetao Jin United States 17 1.5k 1.9× 226 0.7× 145 1.1× 33 0.3× 46 0.4× 17 1.9k

Countries citing papers authored by Meeta Mistry

Since Specialization
Citations

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

Fields of papers citing papers by Meeta Mistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meeta Mistry

This figure shows the co-authorship network connecting the top 25 collaborators of Meeta Mistry. A scholar is included among the top collaborators of Meeta Mistry 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 Meeta Mistry. Meeta Mistry 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.
Heintz, Caroline, Ayse Sena Mutlu, Mary Piper, et al.. (2025). The efficacy of longevity interventions in Caenorhabditis elegans is determined by the early life activity of RNA splicing factors. PLoS Biology. 23(11). e3003504–e3003504.
2.
Yang, Xingxing, et al.. (2025). Tailoring extracellular matrix niches: Impact of glycosaminoglycan content on multiple differentiation of human mesenchymal stem cells. Biomaterials. 318. 123130–123130. 2 indexed citations
3.
Rhee, Catherine, Elizabeth W. Scadden, Lai Ping Wong, et al.. (2023). Limited plasticity of monocyte fate and function associated with epigenetic scripting at the level of progenitors. Blood. 142(7). 658–674. 5 indexed citations
4.
Soo, Sonja K., et al.. (2022). Genetic basis of enhanced stress resistance in long‐lived mutants highlights key role of innate immunity in determining longevity. Aging Cell. 22(2). e13740–e13740. 23 indexed citations
5.
Campos, Juliane C., Ziyun Wu, Sonja K. Soo, et al.. (2021). Mild mitochondrial impairment enhances innate immunity and longevity through ATFS‐1 and p38 signaling. EMBO Reports. 22(12). e52964–e52964. 41 indexed citations
6.
Avagyan, Serine, Jonathan E. Henninger, Meeta Mistry, et al.. (2021). Resistance to inflammation underlies enhanced fitness in clonal hematopoiesis. Science. 374(6568). 768–772. 112 indexed citations
7.
Lee, Min-Sik, Unmesh Jadhav, Shariq Madha, et al.. (2021). Adaptation of pancreatic cancer cells to nutrient deprivation is reversible and requires glutamine synthetase stabilization by mTORC1. Proceedings of the National Academy of Sciences. 118(10). 41 indexed citations
8.
Su, Ting, Ashrafali Mohamed Ismail, Meeta Mistry, et al.. (2021). OCT4 and YY1 transcription factors regulate gene expression of an adenoviral ocular pathogen. Investigative Ophthalmology & Visual Science. 62(8). 1954–1954. 1 indexed citations
9.
Sui, Shannan Ho, Rory Kirchner, Michael J. Steinbaugh, et al.. (2019). Supporting Single Cell RNA-seq Analysis at Harvard - A Community Approach. Journal of Biomolecular Techniques JBT. 30. 1 indexed citations
10.
Goldman, Aaron, Joshua L. Smalley, Meeta Mistry, et al.. (2019). A computationally inspired in-vivo approach identifies a link between amygdalar transcriptional heterogeneity, socialization and anxiety. Translational Psychiatry. 9(1). 336–336. 4 indexed citations
11.
Hancock, Melissa, Rebecca C. Meyer, Meeta Mistry, et al.. (2019). Insulin Receptor Associates with Promoters Genome-wide and Regulates Gene Expression. Cell. 177(3). 722–736.e22. 101 indexed citations
12.
Yan, Qin, Brian S. Garrison, Wenjiang Ma, et al.. (2018). A Milieu Molecule for TGF-β Required for Microglia Function in the Nervous System. Cell. 174(1). 156–171.e16. 129 indexed citations
13.
Joh, Richard, Isabel A. Calvo, Meeta Mistry, et al.. (2016). Survival in Quiescence Requires the Euchromatic Deployment of Clr4/SUV39H by Argonaute-Associated Small RNAs. Molecular Cell. 64(6). 1088–1101. 32 indexed citations
14.
Mistry, Meeta, Jesse Gillis, & Paul Pavlidis. (2013). Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls. BMC Neuroscience. 14(1). 105–105. 44 indexed citations
15.
Mistry, Meeta, Jesse Gillis, & Paul Pavlidis. (2012). Genome-wide expression profiling of schizophrenia using a large combined cohort. Molecular Psychiatry. 18(2). 215–225. 78 indexed citations
16.
Gillis, Jesse, Meeta Mistry, & Paul Pavlidis. (2010). Gene function analysis in complex data sets using ErmineJ. Nature Protocols. 5(6). 1148–1159. 91 indexed citations
17.
Mistry, Meeta & Paul Pavlidis. (2010). A cross-laboratory comparison of expression profiling data from normal human postmortem brain. Neuroscience. 167(2). 384–395. 23 indexed citations
18.
Medvedovic, Mario, Johannes Freudenberg, Joanne Kraenzle Schneider, et al.. (2009). Influence of fatty acid diets on gene expression in rat mammary epithelial cells. Physiological Genomics. 38(1). 80–88. 14 indexed citations
19.
Mistry, Meeta & Paul Pavlidis. (2008). Gene Ontology term overlap as a measure of gene functional similarity. BMC Bioinformatics. 9(1). 327–327. 145 indexed citations
20.
Wood, Ian, Meeta Mistry, Avtar Roopra, & Noel J. Buckley. (2000). The neuron restrictive silencer factor, REST/NRSF remodels chromatin and represses transcription in neurons. European Journal of Neuroscience. 12. 11–11. 1 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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