Zheni Stavre

8 total papers · 1.3k total citations
6 papers, 917 citations indexed

About

Zheni Stavre is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Zheni Stavre has authored 6 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Zheni Stavre's work include Rheumatoid Arthritis Research and Therapies (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Zheni Stavre is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Zheni Stavre collaborates with scholars based in United States, United Kingdom and South Korea. Zheni Stavre's co-authors include Jae‐Hyuck Shim, Jung‐Min Kim, Chujiao Lin, Matthew B. Greenblatt, Ellen M. Gravallese, Almas Khan, Κassem Sharif, Tingting Huang, Charlie Bridgewood and Jonathan Kay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of the Rheumatic Diseases and Arthritis Research & Therapy.

In The Last Decade

Zheni Stavre

6 papers receiving 910 citations

Hit Papers

Osteoblast-Osteoclast Com... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Zheni Stavre 562 253 160 140 116 6 917
Dulshara Sachini Amarasekara 415 0.7× 210 0.8× 135 0.8× 129 0.9× 129 1.1× 12 834
Chujiao Lin 676 1.2× 258 1.0× 129 0.8× 139 1.0× 90 0.8× 14 1.0k
Tatsuo Suda 643 1.1× 423 1.7× 156 1.0× 137 1.0× 91 0.8× 14 952
Yuki Ikebuchi 513 0.9× 357 1.4× 119 0.7× 146 1.0× 69 0.6× 16 817
E. Abe 510 0.9× 353 1.4× 123 0.8× 135 1.0× 219 1.9× 6 1.1k
Yasuto Taguchi 669 1.2× 430 1.7× 213 1.3× 179 1.3× 99 0.9× 10 1.1k
Alfie Tsay 626 1.1× 374 1.5× 427 2.7× 188 1.3× 147 1.3× 6 1.1k
Shuichi Akiyama 922 1.6× 433 1.7× 181 1.1× 110 0.8× 64 0.6× 11 1.1k
Masahiro Kanematsu 734 1.3× 364 1.4× 110 0.7× 225 1.6× 104 0.9× 14 1.0k
Takako Matsuda 516 0.9× 351 1.4× 136 0.8× 130 0.9× 190 1.6× 14 1.1k

Countries citing papers authored by Zheni Stavre

Since Specialization
Citations

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

Fields of papers citing papers by Zheni Stavre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheni Stavre

This figure shows the co-authorship network connecting the top 25 collaborators of Zheni Stavre. A scholar is included among the top collaborators of Zheni Stavre 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 Zheni Stavre. Zheni Stavre 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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