Keiko Naruse

4.4k citations
86 papers · 3.4k indexed · h-index 33

Impact in

Papers in

    • Mesenchymal stem cell research 17
    • Oral microbiology and periodontitis research 7

Keiko Naruse

82 papers receiving 3.4k citations

Peers

Keiko Naruse
Comparison fields: 5 of 116
  • Genetics 599
  • Periodontics 175
  • Endocrinology, Diabetes and Metabolism 553
  • Physiology 853
  • Clinical Biochemistry 197
Replace Mattia Albiero with:
Mattia Albiero Italy
Shozo Yano Japan
Masakatsu Sone Japan
Konstantinos Stellos Germany
Hideki Kamiya Japan
Kazuwa Nakao Japan
Jung‐Min Koh South Korea
Claudio Cabello‐Verrugio Chile
Steve Leu Taiwan
Mikołaj Ogrodnik United States
Keiko Naruse relative to Mattia Albiero Italy Mattia Albiero's profile →
Citations per field
00.5×8.3×
Mattia Albiero · 1×
Citations per year

Countries citing papers authored by Keiko Naruse

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Naruse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Keiko Naruse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keiko Naruse Line = papers co-authored together Keiko Naruse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20220
4 202113
5 202146
6 20202
7 201739
8 201766
9 201462
10 201356
11 201222
12 201119
13 201015
14 201029
15 200932
16 200918
17 200970
18 200713
19 2000218
20 199913

About Keiko Naruse

Keiko Naruse is a scholar working on Genetics, Periodontics, Rehabilitation, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (18 papers), Mesenchymal stem cell research (17 papers), Wound Healing and Treatments (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Pancreatic function and diabetes (8 papers), Oral microbiology and periodontitis research (7 papers), Pain Mechanisms and Treatments (7 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Genetics (599 citations), Periodontics (175 citations), Endocrinology, Diabetes and Metabolism (553 citations), Physiology (853 citations) and Clinical Biochemistry (197 citations). Keiko Naruse has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include George L. King, Tatsuaki Matsubara, Kiyoshi Suzuma, Jiro Nakamura, Hideki Kamiya, Yutaka Oiso, Nobuhisa Nakamura, Noriko Takahara, Yoji Hamada and Izumi Suzuma. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes, International Journal of Molecular Sciences, Diabetologia and Scientific Reports.

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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