Preeti Goyal

2.5k total citations · 1 hit paper
25 papers, 1.8k citations indexed

About

Preeti Goyal is a scholar working on Molecular Biology, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Preeti Goyal has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Preeti Goyal's work include Epigenetics and DNA Methylation (8 papers), CRISPR and Genetic Engineering (6 papers) and Food composition and properties (4 papers). Preeti Goyal is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), CRISPR and Genetic Engineering (6 papers) and Food composition and properties (4 papers). Preeti Goyal collaborates with scholars based in Canada, India and Japan. Preeti Goyal's co-authors include Matthew C. Lorincz, Mohammad M. Karimi, Martin Hirst, Irina A. Maksakova, Steven J.M. Jones, Dixie L. Mager, Diana J. Laird, Kevin Ebata, Miguel Ramalho‐Santos and Anjana Rao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genome Research.

In The Last Decade

Preeti Goyal

24 papers receiving 1.8k citations

Hit Papers

Vitamin C induces Tet-dependent DNA demethylation and a b... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preeti Goyal Canada 14 1.5k 438 280 155 106 25 1.8k
Timothy C. Hallstrom United States 20 1.2k 0.8× 116 0.3× 150 0.5× 54 0.3× 13 0.1× 28 1.6k
Chao Yu China 25 1.5k 1.0× 78 0.2× 214 0.8× 16 0.1× 92 0.9× 60 1.9k
Jason Kang South Korea 14 679 0.4× 197 0.4× 145 0.5× 66 0.4× 9 0.1× 22 1.0k
Ling Shuai China 21 872 0.6× 142 0.3× 178 0.6× 16 0.1× 45 0.4× 75 1.2k
Yajuan Liu China 21 872 0.6× 74 0.2× 233 0.8× 36 0.2× 16 0.2× 59 1.4k
Hardik Shah United States 14 735 0.5× 381 0.9× 168 0.6× 19 0.1× 16 0.2× 28 1.1k
Masayoshi Iizuka Japan 15 1.0k 0.7× 183 0.4× 175 0.6× 75 0.5× 6 0.1× 36 1.3k
Richard A. Knazek United States 20 681 0.4× 79 0.2× 230 0.8× 89 0.6× 22 0.2× 40 1.4k
Athar Ansari United States 20 1.4k 0.9× 264 0.6× 130 0.5× 131 0.8× 5 0.0× 39 1.7k

Countries citing papers authored by Preeti Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Goyal. A scholar is included among the top collaborators of Preeti Goyal 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 Preeti Goyal. Preeti Goyal 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.
Goyal, Preeti, et al.. (2024). Cognitive and antioxidant potential of Tabernaemontana divaricata in Diazpem induced amnesia. Journal of Pharmacognosy and Phytochemistry. 13(3). 385–389.
2.
Berwal, Mukesh Kumar, et al.. (2018). Impact of Flag Leaf Removal on Grain Development and Nutrients Deposition in Pearl Millet Developing Grains. Vegetos. 2018(1). 1–5. 5 indexed citations
3.
Goyal, Preeti, et al.. (2018). Structural modeling of shikimate pathway enzymes for herbicide and drug development: A review. Journal of Entomology and Zoology Studies. 6(2). 785–790. 2 indexed citations
4.
5.
Chen, Carol, et al.. (2017). H3S10ph broadly marks early-replicating domains in interphase ESCs and shows reciprocal antagonism with H3K9me2. Genome Research. 28(1). 37–51. 30 indexed citations
6.
Goyal, Preeti, et al.. (2017). Shelf life determinants and enzyme activities of pearl millet: a comparison of changes in stored flour of hybrids, CMS lines, inbreds and composites. Journal of Food Science and Technology. 54(10). 3161–3169. 21 indexed citations
7.
Goyal, Preeti, et al.. (2017). Protein, Micronutrient, Antioxidant Potential and Phytate Content of Pearl Millet Hybrids and Composites Adopted for Cultivation by Farmers of Haryana, India. International Journal of Current Microbiology and Applied Sciences. 6(3). 376–386. 5 indexed citations
8.
Sharif, Jafar, Takaho A. Endo, Manabu Nakayama, et al.. (2016). Activation of Endogenous Retroviruses in Dnmt1 −/− ESCs Involves Disruption of SETDB1-Mediated Repression by NP95 Binding to Hemimethylated DNA. Cell stem cell. 19(1). 81–94. 66 indexed citations
9.
Berwal, Mukesh Kumar, et al.. (2016). Total Antioxidant Potential of Pearl Millet Genotypes: Inbreds and Designated B-lines. Indian Journal of Agricultural Biochemistry. 29(2). 201–201. 6 indexed citations
10.
Berwal, Mukesh Kumar, et al.. (2016). Variability in total phenoliccontent of pearl milletgenotypes: inbreds and designated B-lines. 1(1). 41–49. 3 indexed citations
11.
Leung, Danny, Tingting Du, Ulrich Wagner, et al.. (2014). Regulation of DNA methylation turnover at LTR retrotransposons and imprinted loci by the histone methyltransferase Setdb1. Proceedings of the National Academy of Sciences. 111(18). 6690–6695. 83 indexed citations
12.
Maksakova, Irina A., Peter J. Thompson, Preeti Goyal, et al.. (2013). Distinct roles of KAP1, HP1 and G9a/GLP in silencing of the two-cell-specific retrotransposon MERVL in mouse ES cells. Epigenetics & Chromatin. 6(1). 15–15. 135 indexed citations
13.
Goyal, Preeti, et al.. (2013). Partial Purification and Characterization of Peroxidase from Pearl Millet (Pennisetum Glaucum [L.] R. Br.) Grains. Journal of Food Biochemistry. 38(2). 150–158. 17 indexed citations
14.
Ebata, Kevin, Mohammad M. Karimi, Preeti Goyal, et al.. (2013). Vitamin C induces Tet-dependent DNA demethylation and a blastocyst-like state in ES cells. Nature. 500(7461). 222–226. 655 indexed citations breakdown →
15.
Maksakova, Irina A., Preeti Goyal, Jörn Bullwinkel, et al.. (2011). H3K9me3-binding proteins are dispensable for SETDB1/H3K9me3-dependent retroviral silencing. Epigenetics & Chromatin. 4(1). 12–12. 35 indexed citations
16.
Rebollo, Rita, Mohammad M. Karimi, Misha Bilenky, et al.. (2011). Retrotransposon-Induced Heterochromatin Spreading in the Mouse Revealed by Insertional Polymorphisms. PLoS Genetics. 7(9). e1002301–e1002301. 112 indexed citations
17.
Karimi, Mohammad M., Preeti Goyal, Irina A. Maksakova, et al.. (2011). DNA Methylation and SETDB1/H3K9me3 Regulate Predominantly Distinct Sets of Genes, Retroelements, and Chimeric Transcripts in mESCs. Cell stem cell. 8(6). 676–687. 394 indexed citations
18.
Rush, Margaret, Ruth Appanah, Sandra Lee, et al.. (2009). Targeting of EZH2 to a defined genomic site is sufficient for recruitment of Dnmt3a but not de novo DNA methylation. Epigenetics. 4(6). 404–414. 69 indexed citations
19.
Appanah, Ruth, David Dickerson, Preeti Goyal, Mark Groudine, & Matthew C. Lorincz. (2007). An Unmethylated 3′ Promoter-Proximal Region Is Required for Efficient Transcription Initiation. PLoS Genetics. 3(2). e27–e27. 45 indexed citations
20.
Appanah, Ruth, David Dickerson, Preeti Goyal, Mark Groudine, & Matthew C. Lorincz. (2005). An Unmethylated 3' Promoter-proximal Region is Required for Efficient Transcription Initiation. PLoS Genetics. preprint(2007). e27–e27. 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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