Nobuo Terada

3.1k citations
144 papers · 2.3k · h-index 25

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 11
    • Glycosylation and Glycoproteins Research 7
    • Erythrocyte Function and Pathophysiology 27

Nobuo Terada

140 papers receiving 2.3k citations

Peers

Nobuo Terada
Comparison fields: 5 of 123
  • Structural Biology 107
  • Developmental Neuroscience 141
  • Cell Biology 347
  • Cellular and Molecular Neuroscience 328
  • Molecular Biology 1.1k
Replace Jiro Usukura with:
Jiro Usukura Japan
Jun Xing United States
Edward H. Cho United States
Lorenzo A. Orci Switzerland
Tohru Murakami Japan
Vera Shinder Israel
M Bubb United States
Anthony Squire Germany
Robert Z. Qi Hong Kong
Christian Renken United States
Nobuo Terada relative to Jiro Usukura Japan Jiro Usukura's profile →
Citations per field
00.5×1.5×
Jiro Usukura · 1×
Citations per year

Countries citing papers authored by Nobuo Terada

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nobuo Terada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nobuo Terada Line = papers co-authored together Nobuo Terada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001142
2 2005120
3 2003108
4 200365
5 199665
6 200863
7 200261
8 201242
9 200142
10 200642
11 200335
12 200434
13 200532
14 200732
15 200631
16 199730
17 200629
18 200728
19 200628
20 200528

About Nobuo Terada

Nobuo Terada is a scholar working on Molecular Biology, Physiology, Cell Biology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 144 papers that have together received 2.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (27 papers), Caveolin-1 and cellular processes (13 papers), Microfluidic and Bio-sensing Technologies (11 papers), Lipid Membrane Structure and Behavior (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Hereditary Neurological Disorders (8 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Structural Biology (107 citations), Developmental Neuroscience (141 citations), Cell Biology (347 citations), Cellular and Molecular Neuroscience (328 citations) and Molecular Biology (1.1k citations). Nobuo Terada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shinichi Ohno, Nobuhiko Ohno, Yasuhisa Fujii, Sei Saitoh, Takeshi Baba, Yurika Saitoh, Bruce D. Trapp, Carl Bjartmar, H Ueda and Ichiro Takayama. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Histochemistry & Cytochemistry, Medical Molecular Morphology, Journal of Anatomy and Journal of Biological Chemistry.

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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