Meltem Isik

1.3k total citations
15 papers, 909 citations indexed

About

Meltem Isik is a scholar working on Molecular Biology, Aging and Cancer Research. According to data from OpenAlex, Meltem Isik has authored 15 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Aging and 5 papers in Cancer Research. Recurrent topics in Meltem Isik's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), CRISPR and Genetic Engineering (4 papers) and MicroRNA in disease regulation (4 papers). Meltem Isik is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), CRISPR and Genetic Engineering (4 papers) and MicroRNA in disease regulation (4 papers). Meltem Isik collaborates with scholars based in United States, Netherlands and Türkiye. Meltem Isik's co-authors include T. Keith Blackwell, Michael J. Steinbaugh, John M Hourihan, Collin Y. Ewald, Eugène Berezikov, Peng Zhang, Ziyun Wu, Natalie Moroz, Hendrik C. Korswagen and Xiaolei Liu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Meltem Isik

13 papers receiving 906 citations

Peers

Meltem Isik
Eun‐Soo Kwon South Korea
Stacey Robida-Stubbs United States
Ara B. Hwang South Korea
Mark Lucanic United States
Arwen W. Gao Netherlands
Eun‐Soo Kwon South Korea
Meltem Isik
Citations per year, relative to Meltem Isik Meltem Isik (= 1×) peers Eun‐Soo Kwon

Countries citing papers authored by Meltem Isik

Since Specialization
Citations

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

Fields of papers citing papers by Meltem Isik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meltem Isik

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

All Works

15 of 15 papers shown
2.
Amrani, Nadia, Kevin Luk, Meltem Isik, et al.. (2024). CRISPR-Cas9-mediated genome editing delivered by a single AAV9 vector inhibits HSV-1 reactivation in a latent rabbit keratitis model. Molecular Therapy — Methods & Clinical Development. 32(3). 101303–101303. 5 indexed citations
3.
Ogawa, Takafumi, Meltem Isik, Ziyun Wu, et al.. (2024). Nutrient control of growth and metabolism through mTORC1 regulation of mRNA splicing. Molecular Cell. 84(23). 4558–4575.e8. 5 indexed citations
4.
Fennell, Tim, Meltem Isik, Tongyao Wang, et al.. (2021). CALITAS: A CRISPR-Cas-aware ALigner for In silico off-TArget Search. The CRISPR Journal. 4(2). 264–274. 9 indexed citations
5.
Choi, Kyung-Mi, et al.. (2021). Defective brown adipose tissue thermogenesis and impaired glucose metabolism in mice lacking Letmd1. Cell Reports. 37(11). 110104–110104. 13 indexed citations
7.
Wu, Ziyun, Meltem Isik, Natalie Moroz, et al.. (2019). Dietary Restriction Extends Lifespan through Metabolic Regulation of Innate Immunity. Cell Metabolism. 29(5). 1192–1205.e8. 120 indexed citations
8.
Lee, Gina, Yu-Xiang Zheng, Sungyun Cho, et al.. (2017). Post-transcriptional Regulation of De Novo Lipogenesis by mTORC1-S6K1-SRPK2 Signaling. Cell. 171(7). 1545–1558.e18. 176 indexed citations
9.
Isik, Meltem, T. Keith Blackwell, & Eugène Berezikov. (2016). MicroRNA mir-34 provides robustness to environmental stress response via the DAF-16 network in C. elegans. Scientific Reports. 6(1). 36766–36766. 43 indexed citations
10.
Blackwell, T. Keith, Michael J. Steinbaugh, John M Hourihan, Collin Y. Ewald, & Meltem Isik. (2015). SKN-1/Nrf, stress responses, and aging in Caenorhabditis elegans. Free Radical Biology and Medicine. 88(Pt B). 290–301. 437 indexed citations
11.
Mutlu, Serhat, Harun Mutlu, Yavuz Kabukçuoğlu, et al.. (2015). The expression of miR-181a-5p and miR-371b-5p in chondrosarcoma.. PubMed. 19(13). 2384–8. 13 indexed citations
12.
Yoon, John C., Meltem Isik, Michael J. Steinbaugh, et al.. (2014). GLTSCR2/PICT1 links mitochondrial stress and Myc signaling. Proceedings of the National Academy of Sciences. 111(10). 3781–3786. 14 indexed citations
13.
Isik, Meltem & Eugène Berezikov. (2012). Biolistic Transformation of Caenorhabditis elegans. Methods in molecular biology. 940. 77–86. 11 indexed citations
14.
Isik, Meltem & Eugène Berezikov. (2012). Expression Pattern Analysis of MicroRNAs in Caenorhabditis elegans. Methods in molecular biology. 936. 129–141. 6 indexed citations
15.
Isik, Meltem, Hendrik C. Korswagen, & Eugène Berezikov. (2010). Expression patterns of intronic microRNAs in Caenorhabditis elegans. PubMed. 1(1). 5–5. 57 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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