Fatima K. Gyoeva

1.2k total citations
20 papers, 977 citations indexed

About

Fatima K. Gyoeva is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fatima K. Gyoeva has authored 20 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Fatima K. Gyoeva's work include Microtubule and mitosis dynamics (12 papers), Photosynthetic Processes and Mechanisms (6 papers) and Skin and Cellular Biology Research (4 papers). Fatima K. Gyoeva is often cited by papers focused on Microtubule and mitosis dynamics (12 papers), Photosynthetic Processes and Mechanisms (6 papers) and Skin and Cellular Biology Research (4 papers). Fatima K. Gyoeva collaborates with scholars based in Russia, United States and Austria. Fatima K. Gyoeva's co-authors include Vladimir I. Gelfand, Vladimir Rodionov, Alexander А. Minin, Alexey Khodjakov, Elly M. Tanaka, Alexander D. Bershadsky, J. M. Vasiliev, Michael P. Koonce, Sergey Kuznetsov and Anna Kashina and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Fatima K. Gyoeva

20 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatima K. Gyoeva Russia 14 697 664 95 58 54 20 977
Mark C. Surka Canada 7 513 0.7× 638 1.0× 88 0.9× 26 0.4× 115 2.1× 8 843
Fern P. Finger United States 12 595 0.9× 780 1.2× 84 0.9× 98 1.7× 63 1.2× 16 999
Wendy C. Salmon United States 10 634 0.9× 580 0.9× 45 0.5× 46 0.8× 23 0.4× 16 969
Paul J. Heid United States 14 421 0.6× 585 0.9× 51 0.5× 29 0.5× 95 1.8× 17 986
Yunrui Du United States 8 456 0.7× 521 0.8× 158 1.7× 44 0.8× 38 0.7× 8 771
Fumiko Harada Japan 9 220 0.3× 489 0.7× 93 1.0× 42 0.7× 68 1.3× 20 742
Martha C. Soto United States 16 336 0.5× 581 0.9× 125 1.3× 46 0.8× 121 2.2× 24 982
John Peloquin United States 11 745 1.1× 551 0.8× 44 0.5× 64 1.1× 31 0.6× 15 920
Katayoun Afshar Switzerland 10 548 0.8× 608 0.9× 65 0.7× 124 2.1× 30 0.6× 11 841
Heather M. Thompson United States 7 417 0.6× 374 0.6× 77 0.8× 27 0.5× 63 1.2× 9 635

Countries citing papers authored by Fatima K. Gyoeva

Since Specialization
Citations

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

Fields of papers citing papers by Fatima K. Gyoeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatima K. Gyoeva. 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 Fatima K. Gyoeva. The network helps show where Fatima K. Gyoeva may publish in the future.

Co-authorship network of co-authors of Fatima K. Gyoeva

This figure shows the co-authorship network connecting the top 25 collaborators of Fatima K. Gyoeva. A scholar is included among the top collaborators of Fatima K. Gyoeva 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 Fatima K. Gyoeva. Fatima K. Gyoeva 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.
Wang, Huiying, et al.. (2024). Vimentin Intermediate Filaments Maintain Membrane Potential of Mitochondria in Growing Neurites. Biology. 13(12). 995–995. 1 indexed citations
2.
Eroshkin, Fedor M., Fatima K. Gyoeva, Arina G. Shokhina, et al.. (2020). Cytoskeletal Protein Zyxin Inhibits the Activity of Genes Responsible for Embryonic Stem Cell Status. Cell Reports. 33(7). 108396–108396. 18 indexed citations
3.
Eroshkin, Fedor M., Fatima K. Gyoeva, Arina G. Shokhina, et al.. (2020). Cytoskeletal Protein Zyxin Inhibits the Activity of Genes Responsible for Embryonic Stem Cell Status. SSRN Electronic Journal. 1 indexed citations
4.
Eroshkin, Fedor M., Alexey M. Nesterenko, N. Y. Martynova, et al.. (2016). Noggin4 is a long-range inhibitor of Wnt8 signalling that regulates head development in Xenopus laevis. Scientific Reports. 6(1). 23049–23049. 24 indexed citations
5.
Gyoeva, Fatima K.. (2014). The role of motor proteins in signal propagation. Biochemistry (Moscow). 79(9). 849–855. 3 indexed citations
7.
Martynova, N. Y., Fedor M. Eroshkin, Galina V. Ermakova, et al.. (2008). The LIM‐domain protein Zyxin binds the homeodomain factor Xanf1/Hesx1 and modulates its activity in the anterior neural plate of Xenopus laevis embryo. Developmental Dynamics. 237(3). 736–749. 33 indexed citations
8.
Minin, Alexander А., et al.. (2006). Regulation of mitochondria distribution by RhoA and formins. Journal of Cell Science. 119(4). 659–670. 86 indexed citations
9.
Gyoeva, Fatima K.. (2005). Interaction of Molecular Motors. Molecular Biology. 39(4). 614–622. 3 indexed citations
10.
Gyoeva, Fatima K., Dmitry V. Sarkisov, Alexey Khodjakov, & Alexander А. Minin. (2004). The Tetrameric Molecule of Conventional Kinesin Contains Identical Light Chains. Biochemistry. 43(42). 13525–13531. 28 indexed citations
11.
Gyoeva, Fatima K., et al.. (2000). An isoform of kinesin light chain specific for the Golgi complex. Journal of Cell Science. 113(11). 2047–2054. 43 indexed citations
12.
Khodjakov, Alexey, et al.. (1998). A Specific Light Chain of Kinesin Associates with Mitochondria in Cultured Cells. Molecular Biology of the Cell. 9(2). 333–343. 92 indexed citations
13.
Kaverina, Irina, Alexander А. Minin, Fatima K. Gyoeva, & Jury M. Vasiliev. (1997). KINESIN‐ASSOCIATED TRANSPORT IS INVOLVED IN THE REGULATION OF CELL ADHESION. Cell Biology International. 21(4). 229–236. 13 indexed citations
14.
Rodionov, Vladimir, Fatima K. Gyoeva, Elly M. Tanaka, et al.. (1993). Microtubule-dependent control of cell shape and pseudopodial activity is inhibited by the antibody to kinesin motor domain.. The Journal of Cell Biology. 123(6). 1811–1820. 141 indexed citations
15.
Gyoeva, Fatima K. & Vladimir I. Gelfand. (1992). Coalignment of vimentin intermediate filaments with microtubules depends on kinesin. Trends in Cell Biology. 2(1). 9–9. 1 indexed citations
16.
Gyoeva, Fatima K. & Vladimir I. Gelfand. (1991). Coalignment of vimentin intermediate filaments with microtubules depends on kinesin. Nature. 353(6343). 445–448. 193 indexed citations
17.
Rodionov, Vladimir, Fatima K. Gyoeva, & Vladimir I. Gelfand. (1991). Kinesin is responsible for centrifugal movement of pigment granules in melanophores.. Proceedings of the National Academy of Sciences. 88(11). 4956–4960. 153 indexed citations
18.
Rodionov, Vladimir, Fatima K. Gyoeva, Anna Kashina, Sergey Kuznetsov, & Vladimir I. Gelfand. (1990). Microtubule-associated proteins and microtubule-based translocators have different binding sites on tubulin molecule.. Journal of Biological Chemistry. 265(10). 5702–5707. 81 indexed citations
19.
Gyoeva, Fatima K., Elena Leonova, Vladimir Rodionov, & Vladimir I. Gelfand. (1987). Vimentin intermediate filaments in fish melanophores. Journal of Cell Science. 88(5). 649–655. 21 indexed citations
20.
Gelfand, Vladimir I., et al.. (1978). A new ATPase in cytoplasmic microtubule preparations. FEBS Letters. 88(2). 197–200. 26 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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