Noriki Nio

2.8k total citations · 1 hit paper
70 papers, 2.3k citations indexed

About

Noriki Nio is a scholar working on Molecular Biology, Food Science and Biotechnology. According to data from OpenAlex, Noriki Nio has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 30 papers in Food Science and 24 papers in Biotechnology. Recurrent topics in Noriki Nio's work include Proteins in Food Systems (26 papers), Blood properties and coagulation (17 papers) and Protein Hydrolysis and Bioactive Peptides (17 papers). Noriki Nio is often cited by papers focused on Proteins in Food Systems (26 papers), Blood properties and coagulation (17 papers) and Protein Hydrolysis and Bioactive Peptides (17 papers). Noriki Nio collaborates with scholars based in Japan, United States and United Kingdom. Noriki Nio's co-authors include Masao Motoki, K. Yokoyama, Yoshimi Kikuchi, Kôichi Takinami, Yasuo Ariyoshi, Masanori Kohmura, Tomoko Ohtsuka, Tomohiro Kodera, Katsuya Seguro and Hiroshi Aso and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and FEBS Letters.

In The Last Decade

Noriki Nio

69 papers receiving 2.2k citations

Hit Papers

Properties and applications of microbial transglutaminase 2004 2026 2011 2018 2004 100 200 300 400

Peers

Noriki Nio
Comparison fields: 5 of 93
  • Food Science 1.1k
  • Molecular Biology 950
  • Pulmonary and Respiratory Medicine 579
  • Animal Science and Zoology 411
  • Biotechnology 366
Replace Katsuya Seguro with:
Katsuya Seguro Japan
K.B. Qvist United Kingdom
Jianyi Wang China
Michael Zeece United States
Maolin Tu China
Ming Cheng China
Xiaoge Gao China
Eun Joo Lee United States
Hiroki Saeki Japan
Payman Zare Iran
Katsuya Seguro Japan View profile →
Citations per field, relative to Noriki Nio
Noriki Nio · 1×
Citations per year, relative to Noriki Nio
Noriki Nio · 1×

Countries citing papers authored by Noriki Nio

Since Specialization
Citations

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

Fields of papers citing papers by Noriki Nio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriki Nio

This figure shows the co-authorship network connecting the top 25 collaborators of Noriki Nio. A scholar is included among the top collaborators of Noriki Nio 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 Noriki Nio. Noriki Nio 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 14
2 64
3 30
4
Properties and applications of microbial transglutaminase breakdown →
480
5 14
6 75
7 76
8 13
9 21
10 12
11 23
12 6
13 31
14 9
15 20
16 3
17 17
18 24
19 1
20 12

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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2026