Yana Miteva

2.6k total citations
13 papers, 660 citations indexed

About

Yana Miteva is a scholar working on Molecular Biology, Geriatrics and Gerontology and Epidemiology. According to data from OpenAlex, Yana Miteva has authored 13 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Geriatrics and Gerontology and 3 papers in Epidemiology. Recurrent topics in Yana Miteva's work include Sirtuins and Resveratrol in Medicine (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Yana Miteva is often cited by papers focused on Sirtuins and Resveratrol in Medicine (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Yana Miteva collaborates with scholars based in United States. Yana Miteva's co-authors include Ileana M. Cristea, Todd M. Greco, Hanna G. Budayeva, Frank L. Conlon, Anne‐Katrin Rohlfing, Todd Lamitina, Thomas J. Silhavy, Emre Koyuncu, Thomas Shenk and Dante P. Ricci and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Development.

In The Last Decade

Yana Miteva

13 papers receiving 657 citations

Peers

Yana Miteva
Hanna G. Budayeva United States
Chris Carrico United States
Josue Baeza United States
Jin-ying Lu United States
Wendy Walter United States
Billy W. Newton United States
Xiaoyong Zhi United States
Hanna G. Budayeva United States
Yana Miteva
Citations per year, relative to Yana Miteva Yana Miteva (= 1×) peers Hanna G. Budayeva

Countries citing papers authored by Yana Miteva

Since Specialization
Citations

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

Fields of papers citing papers by Yana Miteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Miteva

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

All Works

13 of 13 papers shown
1.
Muñoz-Moreno, Raquel, Viola Allaj, Fernando Dı́az, et al.. (2025). A highly stable lyophilized mRNA vaccine for Herpes Zoster provides potent cellular and humoral responses. npj Vaccines. 10(1). 49–49. 5 indexed citations
2.
Reczek, Colleen R., Reena Shakya, Yana Miteva, et al.. (2016). The DNA resection protein CtIP promotes mammary tumorigenesis. Oncotarget. 7(22). 32172–32183. 17 indexed citations
3.
Koyuncu, Emre, Hanna G. Budayeva, Yana Miteva, et al.. (2014). Sirtuins Are Evolutionarily Conserved Viral Restriction Factors. mBio. 5(6). 118 indexed citations
4.
Miteva, Yana & Ileana M. Cristea. (2013). A Proteomic Perspective of Sirtuin 6 (SIRT6) Phosphorylation and Interactions and Their Dependence on Its Catalytic Activity. Molecular & Cellular Proteomics. 13(1). 168–183. 44 indexed citations
5.
Tandon, Panna, et al.. (2013). Tcf21 regulates the specification and maturation of proepicardial cells. Development. 140(11). 2409–2421. 66 indexed citations
7.
Greco, Todd M., Yana Miteva, Frank L. Conlon, & Ileana M. Cristea. (2012). Complementary Proteomic Analysis of Protein Complexes. Methods in molecular biology. 917. 391–407. 21 indexed citations
8.
Miteva, Yana, Hanna G. Budayeva, & Ileana M. Cristea. (2012). Proteomics-Based Methods for Discovery, Quantification, and Validation of Protein–Protein Interactions. Analytical Chemistry. 85(2). 749–768. 77 indexed citations
9.
Conlon, Frank L., et al.. (2012). Immunoisolation of Protein Complexes from Xenopus. Methods in molecular biology. 917. 369–390. 19 indexed citations
10.
Greco, Todd M., et al.. (2011). Functional Proteomics Establishes the Interaction of SIRT7 with Chromatin Remodeling Complexes and Expands Its Role in Regulation of RNA Polymerase I Transcription. Molecular & Cellular Proteomics. 11(2). M111.015156–M111.015156. 20 indexed citations
11.
Rohlfing, Anne‐Katrin, et al.. (2011). The Caenorhabditis elegans Mucin-Like Protein OSM-8 Negatively Regulates Osmosensitive Physiology Via the Transmembrane Protein PTR-23. PLoS Genetics. 7(1). e1001267–e1001267. 33 indexed citations
12.
Rohlfing, Anne‐Katrin, Yana Miteva, Sridhar Hannenhalli, & Todd Lamitina. (2010). Genetic and Physiological Activation of Osmosensitive Gene Expression Mimics Transcriptional Signatures of Pathogen Infection in C. elegans. PLoS ONE. 5(2). e9010–e9010. 62 indexed citations
13.
Lyssenko, Nicholas N., Yana Miteva, Simon Gilroy, Wendy Hanna‐Rose, & Robert Schlegel. (2008). An unexpectedly high degree of specialization and a widespread involvement in sterol metabolism among the C. elegans putative aminophospholipid translocases. BMC Developmental Biology. 8(1). 96–96. 23 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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