Meeta Mistry
- Molecular Biology top 10%
- Genetics top 10%
- Immunology
- Aging top 2%
- Cognitive Neuroscience top 10%
- Co-authors
- Paul PavlidisJesse GillisJeremy M. Van RaamsdonkSonja K. SooShannan J. Ho SuiSiobhan McCarthySeungtai YoonDerek W. Morris
- Topics
- Bioinformatics and Genomic Networks (5 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)Gene expression and cancer classification (4 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Meeta Mistry
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 777
- Genetics 302
- Immunology 133
- Aging 130
- Cognitive Neuroscience 113
Countries citing papers authored by Meeta Mistry
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 23 | |
| 5 | 41 | |
| 6 | 112 | |
| 7 | 41 | |
| 8 | OCT4 and YY1 transcription factors regulate gene expression of an adenoviral ocular pathogen | 1 |
| 9 | Supporting Single Cell RNA-seq Analysis at Harvard - A Community Approach | 1 |
| 10 | 4 | |
| 11 | 101 | |
| 12 | 129 | |
| 13 | 32 | |
| 14 | 44 | |
| 15 | 78 | |
| 16 | 91 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 145 | |
| 20 | The neuron restrictive silencer factor, REST/NRSF remodels chromatin and represses transcription in neurons | 1 |
About Meeta Mistry
Meeta Mistry is a scholar working on Aging, Neuropsychology and Physiological Psychology and Molecular Biology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this 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). The work is most often cited by research in Aging (130 citations), Biological Psychiatry (57 citations) and Molecular Biology (777 citations). Meeta Mistry has collaborated with scholars based in United States, Canada and China. Frequent 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. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.