Kenji Nagao

1.9k citations
62 papers · 1.4k indexed · h-index 24
Topics
Diet and metabolism studies (9 papers)Metabolomics and Mass Spectrometry Studies (8 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Kenji Nagao

61 papers receiving 1.3k citations

Peers

Kenji Nagao
Comparison fields: 5 of 122
  • Molecular Biology 590
  • Physiology 462
  • Epidemiology 211
  • Endocrinology, Diabetes and Metabolism 168
  • Cell Biology 152
Replace Agata Chmurzyńska with:
Agata Chmurzyńska Poland
Michael D. Neinast United States
Kazuki Mochizuki Japan
Jean‐Pascal De Bandt France
Shuichi Kimura Japan
B. Berra Italy
James A. West United Kingdom
Christopher A. Jolly United States
Lauri O. Byerley United States
Miriam Hoene Germany
Kenji Nagao relative to Agata Chmurzyńska Poland Agata Chmurzyńska's profile →
Citations per field
00.5×1.5×2.0×
Agata Chmurzyńska · 1×
Citations per year

Countries citing papers authored by Kenji Nagao

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Nagao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Nagao

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Nagao. A scholar is included among the top collaborators of Kenji Nagao 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 Kenji Nagao. Kenji Nagao 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 1
2 3
3 1
4 0
5 9
6 8
7 47
8 40
9
Clinical Characteristics of a Japanese Subpopulation with Low Plasma Free Essential and Semi-essential Amino Acid Levels
1
10 139
11 87
12 25
13 26
14 7
15 17
16 21
17 7
18 24
19 2
20 7

About Kenji Nagao

Kenji Nagao is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Physiology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). The work is most often cited by research in Physiology (462 citations), Endocrine and Autonomic Systems (90 citations) and Aging (21 citations). Kenji Nagao has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Miyano, Minoru Yamakado, Hiroko Jinzu, Takayuki Tanaka, Akira Imaizumi, Yuko Ishizaka, Yasushi Noguchi, Mizuki Tani, Akiko Toda and Makoto Bannai. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B 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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