Tetsuya Yoda

69 total papers · 1.4k total citations
53 papers, 790 citations indexed

About

Tetsuya Yoda is a scholar working on Molecular Biology, Rheumatology and Oncology. According to data from OpenAlex, Tetsuya Yoda has authored 53 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Rheumatology and 11 papers in Oncology. Recurrent topics in Tetsuya Yoda's work include Bone Metabolism and Diseases (8 papers), TGF-β signaling in diseases (6 papers) and Bone health and treatments (5 papers). Tetsuya Yoda is often cited by papers focused on Bone Metabolism and Diseases (8 papers), TGF-β signaling in diseases (6 papers) and Bone health and treatments (5 papers). Tetsuya Yoda collaborates with scholars based in Japan, United States and United Kingdom. Tetsuya Yoda's co-authors include Tsuyoshi Sato, Shoichiro Kokabu, Yuichiro Enoki, Takahiro Abe, Takenobu Katagiri, Junya Nojima, Satoshi Ohte, Naoko Hori, Dai Chida and Toru Fukuda and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Tetsuya Yoda

48 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuya Yoda 348 135 128 98 82 53 790
Hisako Hikiji 339 1.0× 104 0.8× 71 0.6× 143 1.5× 79 1.0× 50 749
Rita Cássia Menegati Dornelles 200 0.6× 109 0.8× 79 0.6× 154 1.6× 95 1.2× 50 829
Yang Xue 279 0.8× 43 0.3× 137 1.1× 101 1.0× 76 0.9× 67 688
Suzana Beatriz Veríssimo de Mello 189 0.5× 78 0.6× 180 1.4× 51 0.5× 76 0.9× 39 699
Haruko Yanase 204 0.6× 138 1.0× 149 1.2× 38 0.4× 178 2.2× 28 863
Tatsuya Machida 315 0.9× 67 0.5× 87 0.7× 62 0.6× 195 2.4× 41 879
Daigo Yoshiga 299 0.9× 48 0.4× 86 0.7× 229 2.3× 160 2.0× 56 792
Nur Mohammad Monsur Hassan 367 1.1× 56 0.4× 63 0.5× 197 2.0× 43 0.5× 39 824
Q‐Schick Auh 239 0.7× 235 1.7× 90 0.7× 36 0.4× 27 0.3× 54 757
Ulrike Schulze‐Späte 152 0.4× 80 0.6× 59 0.5× 59 0.6× 56 0.7× 42 625

Countries citing papers authored by Tetsuya Yoda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Yoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Yoda

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