K.V. Niaza

945 total citations · 1 hit paper
8 papers, 782 citations indexed

About

K.V. Niaza is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, K.V. Niaza has authored 8 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Biomaterials and 4 papers in Surgery. Recurrent topics in K.V. Niaza's work include Bone Tissue Engineering Materials (7 papers), biodegradable polymer synthesis and properties (5 papers) and Orthopaedic implants and arthroplasty (4 papers). K.V. Niaza is often cited by papers focused on Bone Tissue Engineering Materials (7 papers), biodegradable polymer synthesis and properties (5 papers) and Orthopaedic implants and arthroplasty (4 papers). K.V. Niaza collaborates with scholars based in Russia, Zimbabwe and Taiwan. K.V. Niaza's co-authors include Fedor Senatov, Aleksey V. Maksimkin, M.Yu. Zadorozhnyy, S.D. Kaloshkin, Y. Estrin, S.D. Kaloshkin, Andrey A. Stepashkin, N. Yu. Anisimova, Mikhail Kiselevskiy and V. V. Medvedev and has published in prestigious journals such as Composites Part B Engineering, Materials and European Polymer Journal.

In The Last Decade

K.V. Niaza

8 papers receiving 760 citations

Hit Papers

Mechanical properties and shape memory effect of 3D-print... 2015 2026 2018 2022 2015 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
K.V. Niaza Russia 7 554 446 253 176 156 8 782
Zuoxin Zhou United Kingdom 16 611 1.1× 498 1.1× 94 0.4× 164 0.9× 139 0.9× 23 891
Carlos Salles Lambert Brazil 9 362 0.7× 215 0.5× 185 0.7× 194 1.1× 193 1.2× 19 770
Abdul Manaf Abdullah Malaysia 12 401 0.7× 509 1.1× 99 0.4× 158 0.9× 71 0.5× 31 801
Dominik Rietzel Germany 9 368 0.7× 686 1.5× 130 0.5× 317 1.8× 82 0.5× 15 824
Sang-Hyup Cha South Korea 5 362 0.7× 303 0.7× 89 0.4× 173 1.0× 58 0.4× 5 570
Shaun Eshraghi United States 4 434 0.8× 275 0.6× 188 0.7× 94 0.5× 57 0.4× 7 601
László Zsidai Hungary 18 301 0.5× 629 1.4× 176 0.7× 406 2.3× 134 0.9× 42 1.1k
Wen See Tan Singapore 14 563 1.0× 345 0.8× 100 0.4× 158 0.9× 30 0.2× 25 869
Jennifer N. Rodriguez United States 11 274 0.5× 279 0.6× 133 0.5× 201 1.1× 319 2.0× 16 859
Rüdiger Landers Germany 7 995 1.8× 588 1.3× 411 1.6× 63 0.4× 77 0.5× 11 1.2k

Countries citing papers authored by K.V. Niaza

Since Specialization
Citations

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

Fields of papers citing papers by K.V. Niaza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.V. Niaza

This figure shows the co-authorship network connecting the top 25 collaborators of K.V. Niaza. A scholar is included among the top collaborators of K.V. Niaza 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 K.V. Niaza. K.V. Niaza 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.
Maksimkin, Aleksey V., Fedor Senatov, K.V. Niaza, Tarek Dayyoub, & S.D. Kaloshkin. (2020). Ultra-High Molecular Weight Polyethylene/Titanium-Hybrid Implant for Bone-Defect Replacement. Materials. 13(13). 3010–3010. 10 indexed citations
2.
Senatov, Fedor, K.V. Niaza, Alexey I. Salimon, Aleksey V. Maksimkin, & S.D. Kaloshkin. (2018). Architected UHMWPE simulating trabecular bone tissue. Materials Today Communications. 14. 124–127. 15 indexed citations
3.
Senatov, Fedor, M.Yu. Zadorozhnyy, K.V. Niaza, et al.. (2017). Shape memory effect in 3D-printed scaffolds for self-fitting implants. European Polymer Journal. 93. 222–231. 113 indexed citations
4.
Niaza, K.V., Fedor Senatov, N. Yu. Anisimova, Mikhail Kiselevskiy, & S.D. Kaloshkin. (2017). Effect of Co-incubation with Mesenchymal Stromal Cells in Cultural Medium on Structure and Mechanical Properties of Polylactide-Based Scaffolds. BioNanoScience. 7(4). 712–717. 3 indexed citations
5.
Niaza, K.V., Fedor Senatov, Andrey A. Stepashkin, N. Yu. Anisimova, & M. V. Kiselevsky. (2017). Long-Term Creep and Impact Strength of Biocompatible 3D-Printed PLA-Based Scaffolds. Nano hybrids and composites. 13. 15–20. 27 indexed citations
6.
Senatov, Fedor, K.V. Niaza, Andrey A. Stepashkin, & S.D. Kaloshkin. (2016). Low-cycle fatigue behavior of 3d-printed PLA-based porous scaffolds. Composites Part B Engineering. 97. 193–200. 136 indexed citations
7.
Niaza, K.V., Fedor Senatov, S.D. Kaloshkin, Aleksey V. Maksimkin, & Dilyus I. Chukov. (2016). 3D-printed scaffolds based on PLA/HA nanocomposites for trabecular bone reconstruction. Journal of Physics Conference Series. 741. 12068–12068. 45 indexed citations
8.
Senatov, Fedor, K.V. Niaza, M.Yu. Zadorozhnyy, et al.. (2015). Mechanical properties and shape memory effect of 3D-printed PLA-based porous scaffolds. Journal of the mechanical behavior of biomedical materials. 57. 139–148. 433 indexed citations breakdown →

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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