Diana Askhatova

1.0k total citations · 1 hit paper
8 papers, 912 citations indexed

About

Diana Askhatova is a scholar working on Molecular Biology, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Diana Askhatova has authored 8 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Automotive Engineering. Recurrent topics in Diana Askhatova's work include Nanoplatforms for cancer theranostics (5 papers), RNA Interference and Gene Delivery (4 papers) and Nanoparticle-Based Drug Delivery (2 papers). Diana Askhatova is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), RNA Interference and Gene Delivery (4 papers) and Nanoparticle-Based Drug Delivery (2 papers). Diana Askhatova collaborates with scholars based in Canada, United States and China. Diana Askhatova's co-authors include Yanlan Liu, Jinjun Shi, Xiaoyuan Ji, Kelong Ai, Lehui Lu, Rose Du, Yuzhuo Wang, Tingyuan Yang, Hongwei Cheng and Jianhua Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Diana Askhatova

8 papers receiving 905 citations

Hit Papers

Comprehensive Insights into the Multi-Antioxidative Mecha... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Askhatova Canada 8 502 483 246 212 76 8 912
Wenxian Du China 13 585 1.2× 431 0.9× 168 0.7× 290 1.4× 43 0.6× 25 826
Chuanyao Yang China 11 415 0.8× 288 0.6× 277 1.1× 330 1.6× 54 0.7× 18 873
Vishnu Revuri South Korea 19 483 1.0× 291 0.6× 251 1.0× 369 1.7× 48 0.6× 31 1.0k
Linji Gong China 15 725 1.4× 543 1.1× 242 1.0× 222 1.0× 62 0.8× 19 1.1k
Haoan Wu China 20 687 1.4× 411 0.9× 290 1.2× 479 2.3× 93 1.2× 41 1.1k
Mirkka Sarparanta Finland 21 634 1.3× 570 1.2× 474 1.9× 371 1.8× 86 1.1× 53 1.5k
Ziqi Wang China 15 531 1.1× 184 0.4× 380 1.5× 284 1.3× 68 0.9× 47 899
Fei Kong China 17 439 0.9× 579 1.2× 247 1.0× 178 0.8× 129 1.7× 30 961
Haixian Zhang China 8 777 1.5× 674 1.4× 302 1.2× 257 1.2× 64 0.8× 16 1.1k
Yu‐Jen Lu Taiwan 18 529 1.1× 273 0.6× 352 1.4× 388 1.8× 140 1.8× 31 1.0k

Countries citing papers authored by Diana Askhatova

Since Specialization
Citations

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

Fields of papers citing papers by Diana Askhatova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Askhatova

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

All Works

8 of 8 papers shown
1.
Liu, Yanlan, Xiaoyuan Ji, Diana Askhatova, et al.. (2017). Engineering Multifunctional RNAi Nanomedicine To Concurrently Target Cancer Hallmarks for Combinatorial Therapy. Angewandte Chemie. 130(6). 1526–1529. 35 indexed citations
2.
Liu, Yanlan, Xiaoyuan Ji, Diana Askhatova, et al.. (2017). Engineering Multifunctional RNAi Nanomedicine To Concurrently Target Cancer Hallmarks for Combinatorial Therapy. Angewandte Chemie International Edition. 57(6). 1510–1513. 184 indexed citations
3.
4.
Liu, Yanlan, Viswanath Gunda, Xi Zhu, et al.. (2016). Theranostic near-infrared fluorescent nanoplatform for imaging and systemic siRNA delivery to metastatic anaplastic thyroid cancer. Proceedings of the National Academy of Sciences. 113(28). 7750–7755. 76 indexed citations
5.
Liu, Yanlan, Kelong Ai, Xiaoyuan Ji, et al.. (2016). Comprehensive Insights into the Multi-Antioxidative Mechanisms of Melanin Nanoparticles and Their Application To Protect Brain from Injury in Ischemic Stroke. Journal of the American Chemical Society. 139(2). 856–862. 476 indexed citations breakdown →
6.
Askhatova, Diana, et al.. (2015). Experimental and mathematical studies on cycle life of rechargeable hybrid aqueous batteries. Journal of Power Sources. 279. 238–245. 9 indexed citations
7.
Chen, Pu, et al.. (2015). Effective small interfering RNA delivery in vitro via a new stearylated cationic peptide. International Journal of Nanomedicine. 10. 3303–3303. 15 indexed citations
8.
Konarov, Aishuak, et al.. (2015). Self-Discharge of Rechargeable Hybrid Aqueous Battery. ECS Electrochemistry Letters. 4(12). A151–A154. 16 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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