Suneetha Nunna

511 total citations
12 papers, 361 citations indexed

About

Suneetha Nunna is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Suneetha Nunna has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Plant Science. Recurrent topics in Suneetha Nunna's work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (3 papers) and Cancer therapeutics and mechanisms (2 papers). Suneetha Nunna is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (3 papers) and Cancer therapeutics and mechanisms (2 papers). Suneetha Nunna collaborates with scholars based in Germany, India and Argentina. Suneetha Nunna's co-authors include Albert Jeltsch, Richard Reinhardt, Sergey Ragozin, Tomasz P. Jurkowski, Arumugam Rajavelu, Yingying Zhang, Renata Z. Jurkowska, Marianne G. Rots, Goran Kungulovski and Maria Thomas and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Suneetha Nunna

12 papers receiving 358 citations

Peers

Suneetha Nunna
Gillian C.A. Taylor United Kingdom
Michael V. Zuccaro United States
Margaret K. Shirra United States
Kameron Kooshesh United States
Laura Lingardo United States
Jonathan M. Geisinger United States
Dexuan Cui Hong Kong
Holly R. Thomas United States
Suneetha Nunna
Citations per year, relative to Suneetha Nunna Suneetha Nunna (= 1×) peers David Cano-Rodríguez

Countries citing papers authored by Suneetha Nunna

Since Specialization
Citations

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

Fields of papers citing papers by Suneetha Nunna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneetha Nunna

This figure shows the co-authorship network connecting the top 25 collaborators of Suneetha Nunna. A scholar is included among the top collaborators of Suneetha Nunna 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 Suneetha Nunna. Suneetha Nunna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Rasa, Seyed Mohammad Mahdi, Anna Křepelová, Suneetha Nunna, et al.. (2022). Inflammaging is driven by upregulation of innate immune receptors and systemic interferon signaling and is ameliorated by dietary restriction. Cell Reports. 39(13). 111017–111017. 40 indexed citations
2.
Rasa, Seyed Mohammad Mahdi, Anna Křepelová, Jing Lü, et al.. (2022). Paneth cells drive intestinal stem cell competition and clonality in aging and calorie restriction. European Journal of Cell Biology. 101(4). 151282–151282. 4 indexed citations
3.
Nunna, Suneetha, et al.. (2021). Characterization of Novel α-Mangostin and Paeonol Derivatives With Cancer-Selective Cytotoxicity. Molecular Cancer Therapeutics. 21(2). 257–270. 10 indexed citations
4.
Lü, Jing, et al.. (2021). Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling. Scientific Reports. 11(1). 16668–16668. 15 indexed citations
5.
Xiang, Wenyu, Yucheng Wang, Shi Feng, et al.. (2020). DNA methylation modulates allograft survival and acute rejection after renal transplantation by regulating the mTOR pathway. American Journal of Transplantation. 21(2). 567–581. 14 indexed citations
6.
Kungulovski, Goran, Suneetha Nunna, Maria Thomas, et al.. (2015). Targeted epigenome editing of an endogenous locus with chromatin modifiers is not stably maintained. Epigenetics & Chromatin. 8(1). 12–12. 72 indexed citations
8.
Nunna, Suneetha, Richard Reinhardt, Sergey Ragozin, & Albert Jeltsch. (2014). Targeted Methylation of the Epithelial Cell Adhesion Molecule (EpCAM) Promoter to Silence Its Expression in Ovarian Cancer Cells. PLoS ONE. 9(1). e87703–e87703. 54 indexed citations
9.
Nunna, Suneetha, Arumugam Rajavelu, Yingying Zhang, et al.. (2012). Targeted Methylation and Gene Silencing of VEGF-A in Human Cells by Using a Designed Dnmt3a–Dnmt3L Single-Chain Fusion Protein with Increased DNA Methylation Activity. Journal of Molecular Biology. 425(3). 479–491. 132 indexed citations
10.
Leelaram, Majety Naga, Suneetha Nunna, Valakunja Nagaraja, & Ramanathapuram Manjunath. (2010). A new ELISA plate based microtiter well assay for mycobacterial topoisomerase I for the direct screening of enzyme inhibitory monoclonal antibody supernatants. Journal of Immunological Methods. 357(1-2). 26–32. 4 indexed citations
11.
Leelaram, Majety Naga, et al.. (2009). Immunological cross-reactivity of mycobacterial topoisomerase I and divergence from other bacteria. Tuberculosis. 89(4). 256–262. 6 indexed citations
12.
Nunna, Suneetha, et al.. (2007). Degradation of the insecticidal toxin produced by Bacillus thuringiensis var. kurstaki by extracellular proteases produced by Chrysosporium sp.. Journal of Applied Microbiology. 104(4). 1171–1181. 6 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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