Chiyoko Uchida

36 total papers · 933 total citations
28 papers, 779 citations indexed

About

Chiyoko Uchida is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chiyoko Uchida has authored 28 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Oncology. Recurrent topics in Chiyoko Uchida's work include Signaling Pathways in Disease (21 papers), Peptidase Inhibition and Analysis (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Chiyoko Uchida is often cited by papers focused on Signaling Pathways in Disease (21 papers), Peptidase Inhibition and Analysis (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Chiyoko Uchida collaborates with scholars based in Japan, United States and South Korea. Chiyoko Uchida's co-authors include Takafumi Uchida, Katsuhiko Takahashi, Fumihiro Fujimori, Hirotada Akiyama, Ryong‐Woon Shin, Kei Takahashi, Koichi Miyaki, Mai Uchida, Yoshimitsu Takahashi and Takuro Shimbo and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Chiyoko Uchida

28 papers receiving 769 citations

Author Peers

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

Author						Papers	Cites
Chiyoko Uchida	546	230	198	83	71	28	779
Yildirim Dogan	302 0.6×	125 0.5×	142 0.7×	49 0.6×	55 0.8×	55	895
Patricia Dill	238 0.4×	95 0.4×	143 0.7×	65 0.8×	134 1.9×	29	726
N Tamura	122 0.2×	113 0.5×	410 2.1×	47 0.6×	26 0.4×	33	833
Laura K. Simmons	366 0.7×	84 0.4×	83 0.4×	13 0.2×	46 0.6×	24	741
John D. Hardy	139 0.3×	108 0.5×	85 0.4×	38 0.5×	15 0.2×	19	782
Myrthala Moreno‐Smith	307 0.6×	231 1.0×	45 0.2×	126 1.5×	38 0.5×	15	829
Anne M. Goodwin	430 0.8×	50 0.2×	51 0.3×	48 0.6×	54 0.8×	18	823
Pilin Wang	195 0.4×	332 1.4×	163 0.8×	23 0.3×	24 0.3×	30	620
Lily Wong	452 0.8×	282 1.2×	116 0.6×	21 0.3×	89 1.3×	35	847
Michael Hsu	187 0.3×	92 0.4×	52 0.3×	70 0.8×	86 1.2×	24	640

Countries citing papers authored by Chiyoko Uchida

Since Specialization

Citations

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

Fields of papers citing papers by Chiyoko Uchida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiyoko Uchida

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