Revaz Machaidze

25 total papers · 884 total citations
7 papers, 673 citations indexed

About

Revaz Machaidze is a scholar working on Biomaterials, Genetics and Biomedical Engineering. According to data from OpenAlex, Revaz Machaidze has authored 7 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomaterials, 3 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Revaz Machaidze's work include Nanoparticle-Based Drug Delivery (5 papers), Glioma Diagnosis and Treatment (3 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). Revaz Machaidze is often cited by papers focused on Nanoparticle-Based Drug Delivery (5 papers), Glioma Diagnosis and Treatment (3 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). Revaz Machaidze collaborates with scholars based in United States, China and Greece. Revaz Machaidze's co-authors include Milota Kaluzová, Hui Mao, Li‐Ya Wang, Costas G. Hadjipanayis, Hongwei Chen, Albert J. Schuette, Xinying Wu, Costas G. Hadjipanayis, Alexandros Bouras and Ian F. Dunn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Neurosurgery.

In The Last Decade

Revaz Machaidze

7 papers receiving 665 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Revaz Machaidze 338 311 191 169 93 7 673
Costas G. Hadjipanayis 250 0.7× 224 0.7× 139 0.7× 124 0.7× 65 0.7× 8 567
Henrike Caysa 225 0.7× 237 0.8× 211 1.1× 108 0.6× 26 0.3× 15 662
Achuthamangalam B. Madhankumar 204 0.6× 205 0.7× 343 1.8× 113 0.7× 21 0.2× 19 786
Aharon Ocherashvilli 175 0.5× 146 0.5× 200 1.0× 202 1.2× 24 0.3× 9 689
Ali M. Rad 193 0.6× 204 0.7× 239 1.3× 212 1.3× 40 0.4× 12 682
Rosalinda Castaneda 235 0.7× 280 0.9× 172 0.9× 74 0.4× 15 0.2× 9 590
Yu Xuan Koo 151 0.4× 162 0.5× 208 1.1× 79 0.5× 150 1.6× 14 698
Amanda Luck 86 0.3× 207 0.7× 138 0.7× 98 0.6× 57 0.6× 19 553
M Brampton 226 0.7× 124 0.4× 330 1.7× 199 1.2× 44 0.5× 8 784
Takuhito Narita 68 0.2× 182 0.6× 173 0.9× 97 0.6× 60 0.6× 12 574

Countries citing papers authored by Revaz Machaidze

Since Specialization
Citations

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

Fields of papers citing papers by Revaz Machaidze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Revaz Machaidze

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

All Works

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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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