Gulnaz Stybayeva

1.7k total citations
64 papers, 1.3k citations indexed

About

Gulnaz Stybayeva is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Gulnaz Stybayeva has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 26 papers in Molecular Biology and 21 papers in Surgery. Recurrent topics in Gulnaz Stybayeva's work include 3D Printing in Biomedical Research (25 papers), Pluripotent Stem Cells Research (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (10 papers). Gulnaz Stybayeva is often cited by papers focused on 3D Printing in Biomedical Research (25 papers), Pluripotent Stem Cells Research (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (10 papers). Gulnaz Stybayeva collaborates with scholars based in United States, South Korea and Kazakhstan. Gulnaz Stybayeva's co-authors include Alexander Revzin, Ali Rahimian, Erlan Ramanculov, Satya Dandekar, Amranul Haque, Alan M. Gonzalez‐Suarez, Yandong Gao, Michael D. George, He Zhu and Christian Siltanen and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Gulnaz Stybayeva

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gulnaz Stybayeva United States 21 822 470 178 156 107 64 1.3k
Damian Marshall United Kingdom 16 449 0.5× 545 1.2× 87 0.5× 130 0.8× 51 0.5× 34 1.3k
Paul J. Hung United States 17 1.6k 2.0× 368 0.8× 126 0.7× 87 0.6× 140 1.3× 23 1.9k
Alan Tin‐Lun Lam Singapore 21 380 0.5× 479 1.0× 216 1.2× 95 0.6× 21 0.2× 43 1.2k
John O. Gardner United Kingdom 19 599 0.7× 675 1.4× 118 0.7× 54 0.3× 48 0.4× 46 1.5k
Ju Hun Yeon South Korea 18 669 0.8× 614 1.3× 82 0.5× 130 0.8× 19 0.2× 23 1.4k
Despina Bazou Ireland 21 606 0.7× 401 0.9× 74 0.4× 246 1.6× 20 0.2× 59 1.2k
Marie Shinohara Japan 17 654 0.8× 217 0.5× 251 1.4× 71 0.5× 131 1.2× 57 1.0k
Mon‐Juan Lee Taiwan 23 285 0.3× 616 1.3× 137 0.8× 115 0.7× 15 0.1× 66 1.4k
Xue Gong China 29 940 1.1× 2.2k 4.7× 76 0.4× 184 1.2× 32 0.3× 59 2.7k
Shouqin Lü China 22 349 0.4× 620 1.3× 106 0.6× 45 0.3× 164 1.5× 76 1.5k

Countries citing papers authored by Gulnaz Stybayeva

Since Specialization
Citations

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

Fields of papers citing papers by Gulnaz Stybayeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gulnaz Stybayeva

This figure shows the co-authorship network connecting the top 25 collaborators of Gulnaz Stybayeva. A scholar is included among the top collaborators of Gulnaz Stybayeva 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 Gulnaz Stybayeva. Gulnaz Stybayeva 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
2.
Kim, Do Hyun, Gulnaz Stybayeva, & Se Hwan Hwang. (2024). Efficacy and safety of perioperative ibuprofen for pain control after pediatric tonsillectomy: A systemic review and meta-analysis. International Journal of Pediatric Otorhinolaryngology. 184. 112078–112078.
4.
Desai, Aakash, Daheui Choi, Þorvarður R. Hálfdánarson, et al.. (2024). Molecular Characterization and Therapeutic Opportunities in KRAS Wildtype Pancreatic Ductal Adenocarcinoma. Cancers. 16(10). 1861–1861. 1 indexed citations
5.
Taroncher, Mercedes, Alan M. Gonzalez‐Suarez, Kihak Gwon, et al.. (2024). Using Microfluidic Hepatic Spheroid Cultures to Assess Liver Toxicity of T-2 Mycotoxin. Cells. 13(11). 900–900. 5 indexed citations
6.
Gwon, Kihak, et al.. (2024). Designing magnetic microcapsules for cultivation and differentiation of stem cell spheroids. Microsystems & Nanoengineering. 10(1). 127–127. 2 indexed citations
7.
8.
Hwang, Se Hwan, et al.. (2024). Perinatal Risk Factors for Asthma and Allergic Rhinitis in Children and Adolescents. Clinical and Experimental Otorhinolaryngology. 17(2). 168–176. 4 indexed citations
10.
Kang, Yun Jin, Gulnaz Stybayeva, & Se Hwan Hwang. (2023). Surgical safety and effectiveness of bilateral axillo-breast approach robotic thyroidectomy: a systematic review and meta-analysis. Brazilian Journal of Otorhinolaryngology. 90(2). 101376–101376. 2 indexed citations
11.
Kim, Ji‐Sun, Byung Guk Kim, Gulnaz Stybayeva, & Se Hwan Hwang. (2023). Diagnostic Performance of Various Ultrasound Risk Stratification Systems for Benign and Malignant Thyroid Nodules: A Meta-Analysis. Cancers. 15(2). 424–424. 9 indexed citations
12.
Kim, Do Hyun, Jun‐Beom Park, Sung Won Kim, Gulnaz Stybayeva, & Se Hwan Hwang. (2023). Effect of Infraorbital and/or Infratrochlear Nerve Blocks on Postoperative Care in Patients with Septorhinoplasty: A Meta-Analysis. Medicina. 59(9). 1659–1659. 2 indexed citations
13.
Choi, Daheui, Alan M. Gonzalez‐Suarez, Frank Cichocki, et al.. (2023). Microfluidic Organoid Cultures Derived from Pancreatic Cancer Biopsies for Personalized Testing of Chemotherapy and Immunotherapy. Advanced Science. 11(5). e2303088–e2303088. 39 indexed citations
14.
Fattahi, Pouria, Jong Hoon Choi, Alan M. Gonzalez‐Suarez, et al.. (2023). Guiding Hepatic Differentiation of Pluripotent Stem Cells Using 3D Microfluidic Co-Cultures with Human Hepatocytes. Cells. 12(15). 1982–1982. 10 indexed citations
15.
Hong, Hye Jin, et al.. (2021). Hepatocyte cultures: From collagen gel sandwiches to microfluidic devices with integrated biosensors. APL Bioengineering. 5(4). 41504–41504. 15 indexed citations
16.
Kim, Do Hyun, et al.. (2021). Predictive Value of Olfactory and Taste Symptoms in the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis. Clinical and Experimental Otorhinolaryngology. 14(3). 312–320. 25 indexed citations
17.
Dadgar, Neda, et al.. (2020). Microfluidic confinement enhances phenotype and function of hepatocyte spheroids. American Journal of Physiology-Cell Physiology. 319(3). C552–C560. 21 indexed citations
18.
Hwang, Se Hwan, Alan M. Gonzalez‐Suarez, Gulnaz Stybayeva, & Alexander Revzin. (2020). Prospects and Opportunities for Microsystems and Microfluidic Devices in the Field of Otorhinolaryngology. Clinical and Experimental Otorhinolaryngology. 14(1). 29–42. 3 indexed citations
19.
Dadgar, Neda, Alan M. Gonzalez‐Suarez, Pouria Fattahi, et al.. (2020). A microfluidic platform for cultivating ovarian cancer spheroids and testing their responses to chemotherapies. Microsystems & Nanoengineering. 6(1). 76 indexed citations
20.
Karabekian, Zaruhi, Hao Ding, Gulnaz Stybayeva, et al.. (2015). HLA Class I Depleted hESC as a Source of Hypoimmunogenic Cells for Tissue Engineering Applications. Tissue Engineering Part A. 21(19-20). 2559–2571. 24 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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