Yuki Shiimura

1.0k citations
19 papers · 587 · h-index 11

Impact in

Papers in

Yuki Shiimura

19 papers receiving 576 citations

Peers

Yuki Shiimura
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 246
  • Nutrition and Dietetics 164
  • Physiology 171
  • Cellular and Molecular Neuroscience 95
  • Molecular Biology 248
Replace María Lodeiro with:
María Lodeiro Spain
Jacek Mokrosiński Denmark
Laura Storjohann Denmark
Shiro Takekawa Japan
Kanako Iwasaki Japan
Céline Duraffourd France
Jerry Ryan Holder United States
Veronika Pražienková Czechia
Sunil Bhavsar United States
Lisa S. Beavers United States
Yuki Shiimura relative to María Lodeiro Spain María Lodeiro's profile →
Citations per field
00.5×2.8×
María Lodeiro · 1×
Citations per year

Countries citing papers authored by Yuki Shiimura

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Shiimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011191
2 202059
3 202058
4 201853
5 201349
6 201941
7 202130
8 201322
9 201119
10 202418
11 202314
12 201510
13 20206
14 20245
15 20224
16 20253
17 20242
18 20252
19 20241

About Yuki Shiimura

Yuki Shiimura is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 587 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (9 papers), Receptor Mechanisms and Signaling (9 papers), Adipose Tissue and Metabolism (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Neuropeptides and Animal Physiology (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (246 citations), Nutrition and Dietetics (164 citations), Physiology (171 citations), Cellular and Molecular Neuroscience (95 citations) and Molecular Biology (248 citations). Yuki Shiimura has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Takahiro Sato, Yuki Nakamura, Hideko Ohgusu, M. Kojima, K. Kangawa, Masayasu Kojima, So Iwata, Hidetsugu Asada, Tomoko Uemura and Kunio Hirata. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, Structure, Nature and Science Advances.

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