Takanori Nihira

803 citations
32 papers · 639 indexed · h-index 18
Topics
Enzyme Production and Characterization (27 papers)Microbial Metabolites in Food Biotechnology (18 papers)Enzyme Catalysis and Immobilization (8 papers)
Partner nations
Japan

In The Last Decade

Takanori Nihira

32 papers receiving 633 citations

Peers

Takanori Nihira
Comparison fields: 5 of 62
  • Biotechnology 402
  • Nutrition and Dietetics 334
  • Molecular Biology 295
  • Biomedical Engineering 157
  • Plant Science 117
Replace Elena V. Eneyskaya with:
Elena V. Eneyskaya Russia
Kazumi Funane Japan
Magda Faijes Spain
Naohisa Sugimoto Japan
Smadar Shulami Israel
V. Zamboni France
Łukasz Ozimek Netherlands
Nanyu Han China
G. Pell United Kingdom
Hildegard Watzlawick Germany
Takanori Nihira relative to Elena V. Eneyskaya Russia Elena V. Eneyskaya's profile →
Citations per field
00.5×1.5×
Elena V. Eneyskaya · 1×
Citations per year

Countries citing papers authored by Takanori Nihira

Since Specialization
Citations

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

Fields of papers citing papers by Takanori Nihira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takanori Nihira

This figure shows the co-authorship network connecting the top 25 collaborators of Takanori Nihira. A scholar is included among the top collaborators of Takanori Nihira 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 Takanori Nihira. Takanori Nihira 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 6
2 3
3 13
4 5
5 34
6 27
7 18
8 8
9 15
10 28
11 32
12 12
13 8
14 70
15 29
16 17
17 25
18 27
19 17
20 3

About Takanori Nihira

Takanori Nihira is a scholar working on Biotechnology, Nutrition and Dietetics and Molecular Biology, having authored 32 papers that have together received 639 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (27 papers), Microbial Metabolites in Food Biotechnology (18 papers) and Enzyme Catalysis and Immobilization (8 papers). The work is most often cited by research in Biotechnology (402 citations), Nutrition and Dietetics (334 citations) and Molecular Biology (295 citations). Takanori Nihira has collaborated with scholars based in Japan. Frequent co-authors include Motomitsu Kitaoka, Hiroyuki Nakai, Mamoru Nishimoto, Ken’ichi Ohtsubo, Kazuhiro Chiku, Yoshio Okahata, Toshiaki Mori, Érika Suzuki, Masahiro Nakajima and Hidekazu Nishino. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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