Maria E. Valieva

1.2k total citations
21 papers, 460 citations indexed

About

Maria E. Valieva is a scholar working on Molecular Biology, Structural Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Maria E. Valieva has authored 21 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 2 papers in Structural Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Maria E. Valieva's work include Genomics and Chromatin Dynamics (15 papers), DNA Repair Mechanisms (8 papers) and RNA modifications and cancer (7 papers). Maria E. Valieva is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), DNA Repair Mechanisms (8 papers) and RNA modifications and cancer (7 papers). Maria E. Valieva collaborates with scholars based in Russia, United States and Germany. Maria E. Valieva's co-authors include Vasily M. Studitsky, Alexey V. Feofanov, Katerina V. Gurova, Han-Wen Chang, Poorva Sandlesh, Н. С. Герасимова, М. П. Кирпичников, Olga I. Kulaeva, Tim Formosa and Laura McCullough and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Science Advances.

In The Last Decade

Maria E. Valieva

21 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria E. Valieva Russia 12 425 45 36 26 20 21 460
Sara Weirich Germany 13 437 1.0× 49 1.1× 21 0.6× 30 1.2× 17 0.8× 37 479
Alvin Liu United States 7 181 0.4× 36 0.8× 18 0.5× 32 1.2× 13 0.7× 11 272
Jessica J. R. Hudson United Kingdom 10 319 0.8× 92 2.0× 33 0.9× 37 1.4× 36 1.8× 11 352
Poorwa Awasthi India 5 182 0.4× 63 1.4× 31 0.9× 17 0.7× 15 0.8× 11 249
Ting Fu United States 11 246 0.6× 60 1.3× 13 0.4× 18 0.7× 24 1.2× 26 346
Changchang Xin China 8 339 0.8× 35 0.8× 36 1.0× 56 2.2× 15 0.8× 14 374
Zhuoyao Chen United Kingdom 8 300 0.7× 55 1.2× 124 3.4× 16 0.6× 41 2.0× 11 373
Ding Ma China 8 328 0.8× 36 0.8× 18 0.5× 33 1.3× 12 0.6× 17 371
Chenqiang Jia China 7 252 0.6× 51 1.1× 9 0.3× 47 1.8× 19 0.9× 9 301
Audrey Forest Canada 9 518 1.2× 31 0.7× 46 1.3× 23 0.9× 24 1.2× 12 546

Countries citing papers authored by Maria E. Valieva

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Valieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Valieva. 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 Maria E. Valieva. The network helps show where Maria E. Valieva may publish in the future.

Co-authorship network of co-authors of Maria E. Valieva

This figure shows the co-authorship network connecting the top 25 collaborators of Maria E. Valieva. A scholar is included among the top collaborators of Maria E. Valieva 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 Maria E. Valieva. Maria E. Valieva 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.
Valieva, Maria E., Laura McCullough, Tim Formosa, et al.. (2022). Electron microscopy analysis of ATP-independent nucleosome unfolding by FACT. Communications Biology. 5(1). 2–2. 18 indexed citations
2.
Moiseenko, Andrey, Maria E. Valieva, М. П. Кирпичников, et al.. (2022). Mechanism of curaxin-dependent nucleosome unfolding by FACT. Frontiers in Molecular Biosciences. 9. 1048117–1048117. 7 indexed citations
3.
Kantidze, Omar L., Artem V. Luzhin, Alfiya Safina, et al.. (2019). The anti-cancer drugs curaxins target spatial genome organization. Nature Communications. 10(1). 1441–1441. 49 indexed citations
4.
Valieva, Maria E., et al.. (2019). Electron Microscopy of Yeast FACT Protein Complex. Microscopy and Microanalysis. 25(S2). 1336–1337. 1 indexed citations
5.
Valieva, Maria E., et al.. (2018). HMGB-белки как ДНК-шапероны, модулирующие активность хроматина. Молекулярная биология. 52(5). 737–749. 13 indexed citations
6.
McCullough, Laura, Xin Hua, Vasily M. Studitsky, et al.. (2018). Functional roles of the DNA-binding HMGB domain in the histone chaperone FACT in nucleosome reorganization. Journal of Biological Chemistry. 293(16). 6121–6133. 38 indexed citations
7.
Gurova, Katerina V., Han-Wen Chang, Maria E. Valieva, Poorva Sandlesh, & Vasily M. Studitsky. (2018). Structure and function of the histone chaperone FACT – Resolving FACTual issues. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1861(9). 892–904. 91 indexed citations
8.
Chang, Han-Wen, Maria E. Valieva, Alfiya Safina, et al.. (2018). Mechanism of FACT removal from transcribed genes by anticancer drugs curaxins. Science Advances. 4(11). 39 indexed citations
9.
Valieva, Maria E., et al.. (2018). HMGB Proteins as DNA Chaperones That Modulate Chromatin Activity. Molecular Biology. 52(5). 637–647. 18 indexed citations
10.
Valieva, Maria E., et al.. (2017). Analysis of Nucleosome Structure in Polyacrylamide Gel by the Förster Resonance Energy Transfer Method. Moscow University Biological Sciences Bulletin. 72(4). 196–200. 6 indexed citations
11.
Valieva, Maria E., et al.. (2017). Purification of protein–DNA complexes by native gel electrophoresis for electron microscopy study. Moscow University Biological Sciences Bulletin. 72(1). 1–5. 1 indexed citations
12.
Valieva, Maria E., Grigoriy A. Armeev, Kseniya S. Kudryashova, et al.. (2016). Large-scale ATP-independent nucleosome unfolding by a histone chaperone. Nature Structural & Molecular Biology. 23(12). 1111–1116. 75 indexed citations
13.
Chang, Han-Wen, et al.. (2016). Механизмы ингибирования проопухолевого и транскрипционного фактора FACT. Молекулярная биология. 50(4). 599–610. 8 indexed citations
14.
15.
Valieva, Maria E., et al.. (2016). PHF10 isoforms are phosphorylated in the PBAF mammalian chromatin remodeling complex. Molecular Biology. 50(2). 278–283. 7 indexed citations
16.
Valieva, Maria E., Alexey V. Feofanov, & Vasily M. Studitsky. (2016). Histone chaperones: Variety and functions. Moscow University Biological Sciences Bulletin. 71(3). 165–169. 2 indexed citations
17.
Chang, Han-Wen, Maria E. Valieva, Н. С. Герасимова, et al.. (2016). Inhibiting the pro-tumor and transcription factor FACT: Mechanisms. Molecular Biology. 50(4). 532–541. 8 indexed citations
18.
Valieva, Maria E., et al.. (2015). Структура и функции шаперона гистонов FACT. Молекулярная биология. 49(6). 891–904. 16 indexed citations
19.
Valieva, Maria E., et al.. (2015). Structure and function of histone chaperone FACT. Molecular Biology. 49(6). 796–809. 16 indexed citations
20.
Kudryashova, Kseniya S., et al.. (2015). Development of fluorescently labeled mononucleosomes for the investigation of transcription mechanisms by single complex microscopy. Moscow University Biological Sciences Bulletin. 70(4). 189–193. 11 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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