Teruki Nii

41 total papers · 545 total citations
27 papers, 434 citations indexed

About

Teruki Nii is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Teruki Nii has authored 27 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Teruki Nii's work include 3D Printing in Biomedical Research (6 papers), Cancer Cells and Metastasis (5 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Teruki Nii is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Cancer Cells and Metastasis (5 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Teruki Nii collaborates with scholars based in Japan, Taiwan and Italy. Teruki Nii's co-authors include Yasuhiko Tabata, Kimiko Makino, Yoshiki Katayama, Takeshi Mori, Issei Takeuchi, Akihiro Kishimura, Junko Nomoto, K Arakawa, Ryosuke Kaneko and M. Matsukawa and has published in prestigious journals such as Chemical Communications, International Journal of Molecular Sciences and Journal of Controlled Release.

In The Last Decade

Teruki Nii

26 papers receiving 429 citations

Author Peers

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

Author						Papers	Cites
Teruki Nii	201	122	114	91	56	27	434
Zhangfan Ding	164 0.8×	100 0.8×	99 0.9×	93 1.0×	118 2.1×	25	469
Yanzheng Gao	142 0.7×	45 0.4×	78 0.7×	147 1.6×	42 0.8×	32	458
Tianjiao Chu	215 1.1×	83 0.7×	140 1.2×	159 1.7×	21 0.4×	19	495
Jun Zhao	112 0.6×	45 0.4×	78 0.7×	114 1.3×	45 0.8×	22	378
Alireza Korourian	106 0.5×	132 1.1×	59 0.5×	144 1.6×	77 1.4×	13	391
James G. Shamul	213 1.1×	47 0.4×	105 0.9×	141 1.5×	54 1.0×	18	372
Marcelo Coutinho de Miranda	123 0.6×	65 0.5×	127 1.1×	187 2.1×	32 0.6×	27	447
Scott Poh	114 0.6×	55 0.5×	110 1.0×	115 1.3×	37 0.7×	15	426
Mark Martin Jensen	99 0.5×	41 0.3×	147 1.3×	107 1.2×	46 0.8×	22	467
Michal Mauda‐Havakuk	104 0.5×	105 0.9×	56 0.5×	52 0.6×	88 1.6×	27	411

Countries citing papers authored by Teruki Nii

Since Specialization

Citations

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

Fields of papers citing papers by Teruki Nii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruki Nii

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