Naoko Mukai

3.1k citations
67 papers · 2.3k indexed · h-index 31
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Diabetes Management and Research (7 papers)Nutritional Studies and Diet (7 papers)
Partner nations
JapanUnited StatesNorway

In The Last Decade

Naoko Mukai

67 papers receiving 2.3k citations

Peers

Naoko Mukai
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 537
  • Endocrinology, Diabetes and Metabolism 496
  • Physiology 475
  • Epidemiology 379
  • Public Health, Environmental and Occupational Health 343
Replace Daigo Yoshida with:
Daigo Yoshida Japan
Ga Eun Nam South Korea
Masayo Fukuhara Japan
Young Hoon Lee South Korea
Yeseon Park Moon United States
Renzhe Cui Japan
Hironori Imano Japan
Koichi Kozaki Japan
Maria Carolina Borges United Kingdom
Cristina Pellegrino Baena Brazil
Naoko Mukai relative to Daigo Yoshida Japan Daigo Yoshida's profile →
Citations per field
00.5×1.5×
Daigo Yoshida · 1×
Citations per year

Countries citing papers authored by Naoko Mukai

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Mukai

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Mukai. A scholar is included among the top collaborators of Naoko Mukai 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 Naoko Mukai. Naoko Mukai 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 2
2 15
3 17
4 3
5 13
6 25
7 22
8 20
9 20
10 65
11 50
12 34
13 30
14 46
15 62
16 25
17 47
18 47
19 25
20 2

About Naoko Mukai

Naoko Mukai is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diabetes Management and Research (7 papers) and Nutritional Studies and Diet (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (496 citations), Cardiology and Cardiovascular Medicine (537 citations) and Nephrology (149 citations). Naoko Mukai has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Toshiharu Ninomiya, Jun Hata, Yutaka Kiyohara, Takanari Kitazono, Daigo Yoshida, Yoichiro Hirakawa, Masaharu Nagata, Masayo Fukuhara, Tomoyuki Ohara and Fumie Ikeda. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Neurology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026