Takahiro Terami

13 total papers · 566 total citations
11 papers, 473 citations indexed

About

Takahiro Terami is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Takahiro Terami has authored 11 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Takahiro Terami's work include Endoplasmic Reticulum Stress and Disease (3 papers), Galectins and Cancer Biology (3 papers) and Signaling Pathways in Disease (2 papers). Takahiro Terami is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Galectins and Cancer Biology (3 papers) and Signaling Pathways in Disease (2 papers). Takahiro Terami collaborates with scholars based in Japan and Canada. Takahiro Terami's co-authors include Atsuko Nakatsuka, Akihiro Katayama, Hirofumi Makino, Sanae Teshigawara, Jun Wada, Kazutoshi Murakami, Jun Eguchi, Motoko Kanzaki, Kazuyuki Hida and Izumi Iseda and has published in prestigious journals such as PLoS ONE, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Takahiro Terami

11 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Takahiro Terami 169 141 134 105 61 11 473
Nik Cummings 179 1.1× 189 1.3× 74 0.6× 107 1.0× 27 0.4× 12 472
Shulin Lu 122 0.7× 275 2.0× 88 0.7× 79 0.8× 23 0.4× 17 543
Kazuhiko Fujisawa 129 0.8× 122 0.9× 70 0.5× 54 0.5× 46 0.8× 13 431
Julia Phieler 198 1.2× 99 0.7× 169 1.3× 185 1.8× 32 0.5× 9 459
Zahraa Mohammed‐Ali 91 0.5× 158 1.1× 69 0.5× 70 0.7× 72 1.2× 13 467
Shuangmin Zhang 83 0.5× 120 0.9× 125 0.9× 158 1.5× 78 1.3× 18 490
M. Fuortes 72 0.4× 137 1.0× 140 1.0× 63 0.6× 125 2.0× 13 526
Seijiro Kado 73 0.4× 140 1.0× 52 0.4× 92 0.9× 63 1.0× 11 544
Miho Hamaguchi 265 1.6× 162 1.1× 102 0.8× 102 1.0× 78 1.3× 7 515
Zuo Wang 123 0.7× 242 1.7× 73 0.5× 53 0.5× 68 1.1× 15 481

Countries citing papers authored by Takahiro Terami

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Terami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Terami

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