Mamta Tahiliani
- Molecular Biology top 0.5%
- Genetics top 1%
- Cancer Research top 2%
- Hematology top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Anjana RaoL. AravindWilliam A. PastorKian Peng KohSuneet AgarwalDavid R. LiuYinghua ShenLakshminarayan M. Iyer
- Topics
- Epigenetics and DNA Methylation (14 papers)RNA modifications and cancer (6 papers)Genetic Syndromes and Imprinting (4 papers)
- Cited by
- Molecular BiologyHematologyGenetics
- Partner nations
- United StatesIrelandSlovenia
In The Last Decade
Mamta Tahiliani
19 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 7.7k
- Genetics 1.5k
- Cancer Research 770
- Hematology 748
- Pediatrics, Perinatology and Child Health 575
Countries citing papers authored by Mamta Tahiliani
This map shows the geographic impact of Mamta Tahiliani'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 Mamta Tahiliani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamta Tahiliani more than expected).
Fields of papers citing papers by Mamta Tahiliani
This network shows the impact of papers produced by Mamta Tahiliani. 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 Mamta Tahiliani. The network helps show where Mamta Tahiliani may publish in the future.
Co-authorship network of co-authors of Mamta Tahiliani
This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Tahiliani. A scholar is included among the top collaborators of Mamta Tahiliani 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 Mamta Tahiliani. Mamta Tahiliani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 56 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 65 | |
| 7 | 28 | |
| 8 | 25 | |
| 9 | Tet1 and Tet2 Regulate 5-Hydroxymethylcytosine Production and Cell Lineage Specification in Mouse Embryonic Stem Cellsbreakdown → | 608 |
| 10 | Genome-wide mapping of 5-hydroxymethylcytosine in embryonic stem cellsbreakdown → | 643 |
| 11 | The Behaviour of 5-Hydroxymethylcytosine in Bisulfite Sequencingbreakdown → | 571 |
| 12 | Impaired hydroxylation of 5-methylcytosine in myeloid cancers with mutant TET2breakdown → | 993 |
| 13 | 7 | |
| 14 | Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1breakdown → | 4364 |
| 15 | 302 | |
| 16 | 49 | |
| 17 | 345 | |
| 18 | 155 | |
| 19 | 381 |
About Mamta Tahiliani
Mamta Tahiliani is a scholar working on Molecular Biology, Genetics and Genetics, having authored 19 papers that have together received 8.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (6 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Hematology (748 citations) and Genetics (1.5k citations). Mamta Tahiliani has collaborated with scholars based in United States, Ireland and Slovenia. Frequent co-authors include Anjana Rao, L. Aravind, William A. Pastor, Kian Peng Koh, Suneet Agarwal, David R. Liu, Yinghua Shen, Lakshminarayan M. Iyer, Hozefa S. Bandukwala and Yevgeny Brudno. Their work appears in journals such as Nature, Science 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.