Masaya Shimada

912 citations
53 papers · 726 indexed · h-index 16
Topics
Liver Disease Diagnosis and Treatment (11 papers)Diet, Metabolism, and Disease (10 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)
Partner nations
JapanNetherlandsChina

In The Last Decade

Masaya Shimada

51 papers receiving 707 citations

Peers

Masaya Shimada
Comparison fields: 5 of 95
  • Molecular Biology 288
  • Physiology 167
  • Epidemiology 139
  • Endocrinology, Diabetes and Metabolism 136
  • Surgery 81
Replace Priscila Silva Figueiredo with:
Priscila Silva Figueiredo Brazil
Zohra Ghlissi Tunisia
A Regassa Canada
Miey Park South Korea
Ligang Yang China
Won‐Kyung Yang South Korea
Ainul Bahiyah Abu Bakar Malaysia
Cristina Mascaraque Spain
Iris Ginés Spain
Masaya Shimada relative to Priscila Silva Figueiredo Brazil Priscila Silva Figueiredo's profile →
Citations per field
00.5×10×15×18.5×
Priscila Silva Figueiredo · 1×
Citations per year

Countries citing papers authored by Masaya Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaya Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Shimada. A scholar is included among the top collaborators of Masaya Shimada 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 Masaya Shimada. Masaya Shimada 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 1
3 6
4 5
5 19
6 21
7 9
8 5
9 63
10 6
11 6
12 16
13 6
14 10
15 35
16 5
17 37
18 12
19 15
20 6

About Masaya Shimada

Masaya Shimada is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Epidemiology, having authored 53 papers that have together received 726 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Biochemistry (66 citations), Endocrinology, Diabetes and Metabolism (136 citations) and Physiology (167 citations). Masaya Shimada has collaborated with scholars based in Japan, Netherlands and China. Frequent co-authors include Kazuki Mochizuki, Toshinao Goda, Satoshi Nagaoka, Tomoyuki Nakagawa, T. Hayakawa, Tsuyoshi Goto, Kazue Honma, Morichika Konishi, Hiroya Ohta and Yusuke Murata. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

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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