Shikiko Ueno

56 total papers · 564 total citations
30 papers, 418 citations indexed

About

Shikiko Ueno is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Hematology. According to data from OpenAlex, Shikiko Ueno has authored 30 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Hematology. Recurrent topics in Shikiko Ueno's work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (6 papers) and Renal and related cancers (5 papers). Shikiko Ueno is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (6 papers) and Renal and related cancers (5 papers). Shikiko Ueno collaborates with scholars based in Japan, United States and Singapore. Shikiko Ueno's co-authors include Yutaka Okuno, Hiroaki Mitsuya, Hiro Tatetsu, Hiroyuki Hata, Daniel G. Tenen, Masamichi Takahashi, S Yoshimatsu, Shinya Endo, Yasuo Yamashita and O Makita and has published in prestigious journals such as Blood, Cancer Research and Oncogene.

In The Last Decade

Shikiko Ueno

27 papers receiving 408 citations

Author Peers

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

Author Last Decade Papers Cites
Shikiko Ueno 266 158 70 55 50 30 418
Tse Hui Lim 148 0.6× 125 0.8× 72 1.0× 174 3.2× 42 0.8× 30 424
Parvaneh Vossough 160 0.6× 33 0.2× 97 1.4× 76 1.4× 27 0.5× 29 434
Xianghui Ning 257 1.0× 192 1.2× 35 0.5× 93 1.7× 11 0.2× 30 447
Cline Mj 162 0.6× 37 0.2× 101 1.4× 175 3.2× 33 0.7× 24 410
F. M. Fink 125 0.5× 103 0.7× 191 2.7× 69 1.3× 12 0.2× 21 439
C Rimbaut 133 0.5× 184 1.2× 32 0.5× 75 1.4× 11 0.2× 26 392
Lieve Vanwalleghem 142 0.5× 100 0.6× 16 0.2× 118 2.1× 17 0.3× 20 387
C. Stucchi 149 0.6× 125 0.8× 42 0.6× 83 1.5× 81 1.6× 27 416
Jacquelyn J. Roth 229 0.9× 56 0.4× 129 1.8× 53 1.0× 14 0.3× 25 472
Henning D. Popp 141 0.5× 32 0.2× 181 2.6× 72 1.3× 47 0.9× 31 434

Countries citing papers authored by Shikiko Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Shikiko Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikiko Ueno

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