Nobuhiro Nakamura

2.4k citations
51 papers · 1.8k indexed · h-index 24
Topics
Ubiquitin and proteasome pathways (9 papers)Ion channel regulation and function (8 papers)Thin-Film Transistor Technologies (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology

In The Last Decade

Nobuhiro Nakamura

49 papers receiving 1.8k citations

Peers

Nobuhiro Nakamura
Comparison fields: 5 of 117
  • Molecular Biology 1.2k
  • Epidemiology 257
  • Cell Biology 213
  • Cellular and Molecular Neuroscience 194
  • Immunology 179
Replace Markus Grabenbauer with:
Markus Grabenbauer Germany
Toshifumi Fukuda Japan
Frank Le Foll France
J. Bereiter‐Hahn Germany
Sebastian W. Schultz Norway
Michael A. Wride Ireland
Seiichi Matsui Japan
Mônica Beltrame Italy
Joseph G. Hacia United States
Vinci Mizuhira Japan
Nobuhiro Nakamura relative to Markus Grabenbauer Germany Markus Grabenbauer's profile →
Citations per field
00.5×1.5×2.4×
Markus Grabenbauer · 1×
Citations per year

Countries citing papers authored by Nobuhiro Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhiro Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhiro Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiro Nakamura. A scholar is included among the top collaborators of Nobuhiro Nakamura 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 Nobuhiro Nakamura. Nobuhiro Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 1
3 16
4 19
5 1
6 29
7 21
8 3
9 34
10 21
11 64
12 17
13 24
14 14
15 41
16 73
17 17
18 12
19 61
20 50

About Nobuhiro Nakamura

Nobuhiro Nakamura is a scholar working on Physiology, Ceramics and Composites and Cell Biology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Ion channel regulation and function (8 papers) and Thin-Film Transistor Technologies (7 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Clinical Biochemistry (112 citations) and Cell Biology (213 citations). Nobuhiro Nakamura has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Shigehisa Hirose, Shinji Honda, Yasuo Kimura, M. Tokuda, Hideo Hosono, Yoshiro Suzuki, Kayoko Ookata, Akira Kato, Junghwan Kim and Hidenari Sakuta. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

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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