M. Emi

6.5k citations
157 papers · 5.1k indexed · h-index 36

M. Emi

156 papers receiving 5.0k citations

Peers

M. Emi
Comparison fields: 5 of 149
  • Cancer Research 902
  • Endocrinology, Diabetes and Metabolism 794
  • Pathology and Forensic Medicine 800
  • Orthopedics and Sports Medicine 339
  • Oncology 859
Replace Michael Koutsilieris with:
Michael Koutsilieris Greece
Nigel P. Groome United Kingdom
Hashem A. Shihab United Kingdom
Cristina Battaglia Italy
Kai Ge United States
Mark Lathrop France
Struan F.A. Grant United States
Josef T. Prchal United States
Timothy D. Howard United States
Ling‐Qing Yuan China
M. Emi relative to Michael Koutsilieris Greece Michael Koutsilieris's profile →
Citations per field
00.5×1.5×
Michael Koutsilieris · 1×
Citations per year

Countries citing papers authored by M. Emi

Since Specialization
Citations

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

Fields of papers citing papers by M. Emi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M. Emi, 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 M. Emi Line = papers co-authored together M. Emi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2
ALDH2 polymorphism is associated with fasting blood glucose through alcohol consumption in Japanese men.
201611
3 20156
4
Association of UGT1A1 Gly71Arg with urine urobilinogen.
20113
5 201122
6 20101
7 20102
8
Relationship between forest walking (shinrin-yoku) frequency and self-rated health status: cross-sectional study of healthy Japanese.
200910
9 200456
10 200236
11 20025
12 200113
13 20015
14 20015
15 200018
16 19993
17 199931
18 19993
19 199947
20 199548

About M. Emi

M. Emi is a scholar working on Cancer Research, Complementary and Manual Therapy, Nephrology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 157 papers that have together received 5.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Urban Green Space and Health (11 papers), Cytokine Signaling Pathways and Interactions (10 papers), Bone health and osteoporosis research (9 papers), Bone Metabolism and Diseases (9 papers), Lipid metabolism and disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Cancer Research (902 citations), Endocrinology, Diabetes and Metabolism (794 citations), Pathology and Forensic Medicine (800 citations), Orthopedics and Sports Medicine (339 citations) and Oncology (859 citations). M. Emi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takayuki Hosoi, Akira Hata, Nobuyuki Hamajima, Kazuhiro Tsukamoto, Yusuke Nakamura, Satoshi Inoue, Yasuhiro Fujiwara, H. Orimo, N. Ota and Toshiaki Nakajima. Their work appears in journals such as Journal of Human Genetics, Journal of Biological Chemistry, Nucleic Acids Research, Genes and Immunity and Human Genetics.

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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