Masako Doi

21 papers receiving 991 citations

Peers

Masako Doi
Comparison fields: 5 of 106
  • Nutrition and Dietetics 243
  • Health, Toxicology and Mutagenesis 191
  • Physiology 230
  • Cell Biology 149
  • Critical Care and Intensive Care Medicine 36
Replace Silvia Menéndez with:
Silvia Menéndez Cuba
Oscar K. Reiss United States
Maria Klaude Sweden
Aiming Xu China
Lee Frank United States
Yina Wang China
Anthony J Wright United Kingdom
Karl B. Sluis New Zealand
Gen‐Sheng Wang Canada
Jérôme Ruzzin Norway
Masako Doi relative to Silvia Menéndez Cuba Silvia Menéndez's profile →
Citations per field
00.5×10×14.9×
Silvia Menéndez · 1×
Citations per year

Countries citing papers authored by Masako Doi

Since Specialization
Citations

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

Fields of papers citing papers by Masako Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978207
2 2003134
3 2007124
4 2005117
5 2014114
6 200177
7 200848
8 202036
9 200533
10 201031
11 200320
12 199616
13 202014
14 200912
15 197711
16 201211
17 200811
18 20097
19 20066
20 20073

About Masako Doi

Masako Doi is a scholar working on Physiology, Molecular Biology, Cell Biology, Surgery and Rehabilitation, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Exercise and Physiological Responses (3 papers), Xenotransplantation and immune response (2 papers), Geological and Geochemical Analysis (2 papers), Trace Elements in Health (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Nutrition and Dietetics (243 citations), Health, Toxicology and Mutagenesis (191 citations), Physiology (230 citations), Cell Biology (149 citations) and Critical Care and Intensive Care Medicine (36 citations). Masako Doi has collaborated with scholars based in Japan, Spain and New Zealand. Frequent co-authors include Ippei Yamaoka, Mitsuo Nakayama, Kéiichi Tanaka, Satomi Onosaka, Fumiaki Yoshizawa, Kunio Sugahara, Tetsuya Fukunaga, Shinji Mochizuki, P. L. J. Tan and John Baker. Their work appears in journals such as Metabolism, Biochemical and Biophysical Research Communications, American Journal of Physiology-Endocrinology and Metabolism, Journal of Nutrition and New Zealand Journal of Geology and Geophysics.

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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