Shengyu Mu

1.4k total citations
39 papers, 1.1k citations indexed

About

Shengyu Mu is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Shengyu Mu has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nutrition and Dietetics, 13 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Molecular Biology. Recurrent topics in Shengyu Mu's work include Sodium Intake and Health (12 papers), Hormonal Regulation and Hypertension (11 papers) and Ion Transport and Channel Regulation (6 papers). Shengyu Mu is often cited by papers focused on Sodium Intake and Health (12 papers), Hormonal Regulation and Hypertension (11 papers) and Ion Transport and Channel Regulation (6 papers). Shengyu Mu collaborates with scholars based in United States, Japan and China. Shengyu Mu's co-authors include Toshiro Fujita, Tatsuo Shimosawa, Yutaka Yatomi, Fumiko Kawakami-Mori, Sayoko Ogura, Yuzaburo Uetake, Hong Wang, Daigoro Hirohama, Hirotoshi Tanaka and Takeshi Marumo and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

Shengyu Mu

37 papers receiving 1.0k citations

Peers

Shengyu Mu
Comparison fields: 5 of 91
  • Molecular Biology 354
  • Nutrition and Dietetics 310
  • Endocrinology, Diabetes and Metabolism 287
  • Nephrology 219
  • Cardiology and Cardiovascular Medicine 184
Replace Luciana C. Veiras with:
Luciana C. Veiras United States
Xiaohan Lu United States
Klaus Höcherl Germany
Hajime Nagasu Japan
Justin P. Van Beusecum United States
Rohia Alili France
Maciej Jankowski Poland
Ashley Pitzer United States
Adeline Tan Australia
Guijun Qin China
Luciana C. Veiras United States View profile →
Citations per field, relative to Shengyu Mu
Shengyu Mu · 1×
Citations per year, relative to Shengyu Mu
Shengyu Mu · 1×

Countries citing papers authored by Shengyu Mu

Since Specialization
Citations

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

Fields of papers citing papers by Shengyu Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyu Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengyu Mu. A scholar is included among the top collaborators of Shengyu Mu 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 Shengyu Mu. Shengyu Mu 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
# Work Indexed citations
1 3
2 7
3 9
4 6
5 1
6 8
7 6
8 2
9 7
10 31
11 14
12 12
13 60
14 5
15 63
16 14
17 74
18 1
19 7
20 192

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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