Farida Vaisheva

533 total citations
12 papers, 369 citations indexed

About

Farida Vaisheva is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Health. According to data from OpenAlex, Farida Vaisheva has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 2 papers in Health. Recurrent topics in Farida Vaisheva's work include Epigenetics and DNA Methylation (5 papers), Reproductive Biology and Fertility (3 papers) and Nutrition, Genetics, and Disease (2 papers). Farida Vaisheva is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Reproductive Biology and Fertility (3 papers) and Nutrition, Genetics, and Disease (2 papers). Farida Vaisheva collaborates with scholars based in Canada, Kazakhstan and Germany. Farida Vaisheva's co-authors include Bernard Robaire, Barbara F. Hales, Cristián O’Flaherty, Moshe Szyf, Peter Chan, Linda Booij, Victoria Ly, Sergiy Dymov, Michael Gill and Ciara Fahey and has published in prestigious journals such as PLoS ONE, Human Reproduction and Molecular Psychiatry.

In The Last Decade

Farida Vaisheva

12 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farida Vaisheva Canada 8 124 124 101 76 51 12 369
Shu Takagai Japan 11 54 0.4× 87 0.7× 14 0.1× 107 1.4× 139 2.7× 21 545
S. Goldstein United States 9 26 0.2× 91 0.7× 81 0.8× 42 0.6× 22 0.4× 10 453
Shlomo Yeshurun Israel 7 148 1.2× 30 0.2× 21 0.2× 17 0.2× 113 2.2× 10 347
Olivia Cox United States 9 120 1.0× 138 1.1× 8 0.1× 121 1.6× 84 1.6× 14 407
Lars Melgaard Denmark 6 108 0.9× 23 0.2× 35 0.3× 60 0.8× 60 1.2× 7 425
Karima Amarouchi Netherlands 5 28 0.2× 58 0.5× 69 0.7× 92 1.2× 30 0.6× 6 369
Stephanie A. Stout United States 8 55 0.4× 107 0.9× 9 0.1× 106 1.4× 117 2.3× 10 377
Jo Steele United States 8 67 0.5× 53 0.4× 120 1.2× 57 0.8× 34 0.7× 14 474
Cristian Sirbu United States 9 66 0.5× 28 0.2× 46 0.5× 76 1.0× 5 0.1× 14 419
Po‐Chang Hsiao Taiwan 14 206 1.7× 47 0.4× 8 0.1× 53 0.7× 29 0.6× 33 603

Countries citing papers authored by Farida Vaisheva

Since Specialization
Citations

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

Fields of papers citing papers by Farida Vaisheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farida Vaisheva

This figure shows the co-authorship network connecting the top 25 collaborators of Farida Vaisheva. A scholar is included among the top collaborators of Farida Vaisheva 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 Farida Vaisheva. Farida Vaisheva 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.
2.
Adilbay, Dauren, et al.. (2020). Epigenetic markers-based breastcancer early detection methoddevelopment. 58(4). 29–35. 1 indexed citations
3.
Kaidarova, Dilyara, et al.. (2020). Epigenetic markers-based breast cancerearly detection method development. 58(4). 29–35. 1 indexed citations
4.
Adilbay, Dauren, et al.. (2020). Early diagnostic of lung cancer basedon methylation of mononuclear cell fraction:Method development. 57(3). 11–16. 1 indexed citations
5.
Schmidt, Michaela, Elad Lax, David Cheishvili, et al.. (2019). Fetal glucocorticoid receptor (Nr3c1) deficiency alters the landscape of DNA methylation of murine placenta in a sex-dependent manner and is associated to anxiety-like behavior in adulthood. Translational Psychiatry. 9(1). 23–23. 23 indexed citations
6.
Booij, Linda, Moshe Szyf, Angela Carballedo, et al.. (2015). DNA Methylation of the Serotonin Transporter Gene in Peripheral Cells and Stress-Related Changes in Hippocampal Volume: A Study in Depressed Patients and Healthy Controls. PLoS ONE. 10(3). e0119061–e0119061. 112 indexed citations
7.
Frodl, Thomas, Moshe Szyf, Angela Carballedo, et al.. (2015). DNA methylation of the serotonin transporter gene (SLC6A4) is associated with brain function involved in processing emotional stimuli. Journal of Psychiatry and Neuroscience. 40(5). 296–305. 63 indexed citations
8.
Wei, Yi, et al.. (2014). Performance of a clonal-based HIV-1 tropism phenotypic assay. Journal of Virological Methods. 204. 53–61. 3 indexed citations
9.
Vaisheva, Farida, et al.. (2011). Metalloestrogenic Effects of Quantum Dots. Nanomedicine. 7(1). 23–37. 13 indexed citations
10.
11.
O’Flaherty, Cristián, Farida Vaisheva, Barbara F. Hales, Peter Chan, & Bernard Robaire. (2008). Characterization of sperm chromatin quality in testicular cancer and Hodgkin's lymphoma patients prior to chemotherapy. Human Reproduction. 23(5). 1044–1052. 83 indexed citations
12.
Vaisheva, Farida, Géraldine Delbès, Barbara F. Hales, & Bernard Robaire. (2007). Effects of the Chemotherapeutic Agents for Non‐Hodgkin Lymphoma, Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone (CHOP), on the Male Rat Reproductive System and Progeny Outcome. Journal of Andrology. 28(4). 578–587. 39 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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