Chikayuki NAITO

1.1k citations
52 papers · 583 indexed · h-index 14
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Cholesterol and Lipid Metabolism (8 papers)Cancer, Lipids, and Metabolism (8 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Chikayuki NAITO

50 papers receiving 538 citations

Peers

Chikayuki NAITO
Comparison fields: 5 of 92
  • Surgery 153
  • Endocrinology, Diabetes and Metabolism 149
  • Molecular Biology 131
  • Cardiology and Cardiovascular Medicine 89
  • Physiology 80
Replace Anwar Parbtani with:
Anwar Parbtani Canada
Peter Röschlau United States
A Jacqueson France
CM Ingerman United States
S Keidar Israel
Gemma Gianfranceschi Italy
Licia Polimeni Italy
Pang H Chong United States
Katsuto Ono United States
Robert H. Furman United States
Chikayuki NAITO relative to Anwar Parbtani Canada Anwar Parbtani's profile →
Citations per field
00.5×1.5×
Anwar Parbtani · 1×
Citations per year

Countries citing papers authored by Chikayuki NAITO

Since Specialization
Citations

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

Fields of papers citing papers by Chikayuki NAITO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikayuki NAITO

This figure shows the co-authorship network connecting the top 25 collaborators of Chikayuki NAITO. A scholar is included among the top collaborators of Chikayuki NAITO 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 Chikayuki NAITO. Chikayuki NAITO 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 16
2 4
3 3
4 1
5 1
6 5
7 4
8 3
9 1
10 5
11 1
12 8
13 11
14 11
15 8
16 7
17 1
18 0
19
1
20 5

About Chikayuki NAITO

Chikayuki NAITO is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 52 papers that have together received 583 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cholesterol and Lipid Metabolism (8 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Biochemistry (44 citations) and Pharmacology (42 citations). Chikayuki NAITO has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hiroshi Oka, Tamio Teramoto, Louis C. Fillios, Mitsunobu Kawamura, Stephen B. Andrus, Yoshiaki Hashimoto, Hirokazu Katō, Robert Martin, Oscar W. Portman and Hiroshi Hayashi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

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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