Masami Nakamura

636 total citations
29 papers, 482 citations indexed

About

Masami Nakamura is a scholar working on Artificial Intelligence, Surgery and Nutrition and Dietetics. According to data from OpenAlex, Masami Nakamura has authored 29 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Surgery and 4 papers in Nutrition and Dietetics. Recurrent topics in Masami Nakamura's work include Speech Recognition and Synthesis (4 papers), Fatty Acid Research and Health (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Masami Nakamura is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Fatty Acid Research and Health (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Masami Nakamura collaborates with scholars based in Japan, United States and China. Masami Nakamura's co-authors include O. S. Privett, Hirozo Goto, Ushio Sankawa, Qi Zhao, Ghazi Hussein, Benny Jensen, Kiyohiro Shikano, Jun Fukushima, Kenji Hamajima and Norihisa Ishii and has published in prestigious journals such as Nature Communications, Current Biology and Endocrinology.

In The Last Decade

Masami Nakamura

29 papers receiving 466 citations

Peers

Masami Nakamura
Comparison fields: 5 of 91
  • Molecular Biology 107
  • Nutrition and Dietetics 104
  • Biochemistry 89
  • Immunology 85
  • Virology 65
Replace Xiaohui Ding with:
Xiaohui Ding China
Zhiwei Xu United States
Naoya Ueda Japan
Francesca Trimboli Italy
Shu‐Cai Huang United States
Tomás Huerta United States
Licheng Shi United States
Krai Meemon Thailand
Tuo Ji China
Gary L. Case United States
Xiaohui Ding China View profile →
Citations per field, relative to Masami Nakamura
Masami Nakamura · 1×
Citations per year, relative to Masami Nakamura
Masami Nakamura · 1×

Countries citing papers authored by Masami Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Masami Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Masami Nakamura. A scholar is included among the top collaborators of Masami 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 Masami Nakamura. Masami 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
# Work Indexed citations
1 3
2 22
3 1
4 6
5 6
6 1
7
3
8 3
9 3
10 9
11 5
12 96
13 22
14 12
15 1
16 16
17 6
18 14
19 1
20 2

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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