Yuki Shiimura

1.0k total citations
19 papers, 587 citations indexed

About

Yuki Shiimura is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Yuki Shiimura has authored 19 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Endocrine and Autonomic Systems and 8 papers in Physiology. Recurrent topics in Yuki Shiimura's work include Receptor Mechanisms and Signaling (9 papers), Regulation of Appetite and Obesity (9 papers) and Adipose Tissue and Metabolism (8 papers). Yuki Shiimura is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Regulation of Appetite and Obesity (9 papers) and Adipose Tissue and Metabolism (8 papers). Yuki Shiimura collaborates with scholars based in Japan, United States and Denmark. Yuki Shiimura's co-authors include Takahiro Sato, Yuki Nakamura, Hideko Ohgusu, K. Kangawa, M. Kojima, Masayasu Kojima, So Iwata, Hidetsugu Asada, Tomoko Uemura and Kunio Hirata and has published in prestigious journals such as Nature, Nature Communications and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuki Shiimura

19 papers receiving 576 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuki Shiimura Japan 11 248 246 171 164 95 19 587
Jacek Mokrosiński Denmark 16 495 2.0× 379 1.5× 234 1.4× 327 2.0× 162 1.7× 25 962
María Lodeiro Spain 11 246 1.0× 116 0.5× 147 0.9× 78 0.5× 72 0.8× 13 478
Shiro Takekawa Japan 15 383 1.5× 216 0.9× 83 0.5× 154 0.9× 170 1.8× 28 818
Kanako Iwasaki Japan 14 263 1.1× 149 0.6× 186 1.1× 79 0.5× 88 0.9× 31 710
Zhiying Jin United States 8 234 0.9× 573 2.3× 374 2.2× 427 2.6× 40 0.4× 12 862
Lisa S. Beavers United States 16 516 2.1× 197 0.8× 181 1.1× 33 0.2× 364 3.8× 19 957
Leif K. Larsen Denmark 16 416 1.7× 118 0.5× 213 1.2× 60 0.4× 49 0.5× 23 708
Reiko Ichikawa Japan 14 245 1.0× 51 0.2× 141 0.8× 91 0.6× 94 1.0× 27 655
Sunil Bhavsar United States 9 276 1.1× 338 1.4× 161 0.9× 158 1.0× 206 2.2× 11 980
Laura Storjohann Denmark 6 207 0.8× 201 0.8× 148 0.9× 207 1.3× 154 1.6× 6 482

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-authorship network of co-authors of Yuki Shiimura

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Shiimura. A scholar is included among the top collaborators of Yuki Shiimura 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 Yuki Shiimura. Yuki Shiimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shiimura, Yuki, Dohyun Im, Hidetsugu Asada, et al.. (2025). The structure and function of the ghrelin receptor coding for drug actions. Nature Structural & Molecular Biology. 32(3). 531–542. 3 indexed citations
2.
Shiimura, Yuki, Masayasu Kojima, & Takahiro Sato. (2025). How the ghrelin receptor recognizes the acyl-modified orexigenic hormone. Frontiers in Molecular Neuroscience. 18. 1549366–1549366. 2 indexed citations
3.
Shiimura, Yuki, et al.. (2024). Ghrelin–LEAP2 interactions along the stomach–liver axis. Endocrine Journal. 72(4). 341–353. 2 indexed citations
4.
O’Brien, Evan S., Amal El Daibani, Shainnel O. Eans, et al.. (2024). A µ-opioid receptor modulator that works cooperatively with naloxone. Nature. 631(8021). 686–693. 18 indexed citations
5.
Im, Dohyun, Mika Jormakka, Narinobu Juge, et al.. (2024). Neurotransmitter recognition by human vesicular monoamine transporter 2. Nature Communications. 15(1). 7661–7661. 5 indexed citations
6.
O’Brien, Evan S., Amal El Daibani, Shainnel O. Eans, et al.. (2024). Negative allosteric modulation of the µ-opioid receptor. Biophysical Journal. 123(3). 353a–353a. 1 indexed citations
7.
Im, Dohyun, Jun-ichi Kishikawa, Yuki Shiimura, et al.. (2023). Structural insights into the agonists binding and receptor selectivity of human histamine H4 receptor. Nature Communications. 14(1). 6538–6538. 14 indexed citations
8.
Sato, Takahiro, et al.. (2022). Insights Into the Regulation of Offspring Growth by Maternally Derived Ghrelin. Frontiers in Endocrinology. 13. 852636–852636. 4 indexed citations
9.
Maeda, Shintaro, Yuki Shiimura, Hidetsugu Asada, et al.. (2021). Endogenous agonist–bound S1PR3 structure reveals determinants of G protein–subtype bias. Science Advances. 7(24). 30 indexed citations
10.
Sugita, Yasuo, Takuya Furuta, Yuki Shiimura, et al.. (2020). Expression of the ghrelin/growth hormone secretagogue receptor axis and its functional role in promoting tumor growth in primary central nervous system lymphomas. Neuropathology. 40(3). 232–239. 6 indexed citations
11.
Shiimura, Yuki, Shoichiro Horita, Akie Hamamoto, et al.. (2020). Structure of an antagonist-bound ghrelin receptor reveals possible ghrelin recognition mode. Nature Communications. 11(1). 4160–4160. 59 indexed citations
12.
Im, Dohyun, Asuka Inoue, Takaaki Fujiwara, et al.. (2020). Structure of the dopamine D2 receptor in complex with the antipsychotic drug spiperone. Nature Communications. 11(1). 6442–6442. 58 indexed citations
13.
Asada, Hidetsugu, Asuka Inoue, Francois Marie Ngako Kadji, et al.. (2019). The Crystal Structure of Angiotensin II Type 2 Receptor with Endogenous Peptide Hormone. Structure. 28(4). 418–425.e4. 41 indexed citations
14.
Asada, Hidetsugu, Shoichiro Horita, Kunio Hirata, et al.. (2018). Crystal structure of the human angiotensin II type 2 receptor bound to an angiotensin II analog. Nature Structural & Molecular Biology. 25(7). 570–576. 53 indexed citations
15.
Shiimura, Yuki, Hideko Ohgusu, Takahiro Sato, & Masayasu Kojima. (2015). Regulation of the Human Ghrelin Promoter Activity by Transcription Factors, NF-κB and Nkx2.2. International Journal of Endocrinology. 2015. 1–12. 10 indexed citations
16.
Nakamura, Yuki, Takahiro Sato, Yuki Shiimura, Yoshiki Miura, & Masayasu Kojima. (2013). FABP3 and brown adipocyte-characteristic mitochondrial fatty acid oxidation enzymes are induced in beige cells in a different pathway from UCP1. Biochemical and Biophysical Research Communications. 441(1). 42–46. 22 indexed citations
17.
Sato, Takahiro, Takanori Ida, Yuki Nakamura, et al.. (2013). Physiological roles of ghrelin on obesity. Obesity Research & Clinical Practice. 8(5). e405–e413. 49 indexed citations
18.
Sato, Takahiro, Yuki Nakamura, Yuki Shiimura, et al.. (2011). Structure, regulation and function of ghrelin. The Journal of Biochemistry. 151(2). 119–128. 191 indexed citations
19.
Kusano, Shuichi, Yuki Shiimura, & Yukari Eizuru. (2011). I-mfa domain proteins specifically interact with SERTA domain proteins and repress their transactivating functions. Biochimie. 93(9). 1555–1564. 19 indexed citations

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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