Shan Mou

432 total citations
17 papers, 339 citations indexed

About

Shan Mou is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shan Mou has authored 17 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Infectious Diseases and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shan Mou's work include SARS-CoV-2 and COVID-19 Research (3 papers), MRI in cancer diagnosis (3 papers) and COVID-19 Clinical Research Studies (3 papers). Shan Mou is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), MRI in cancer diagnosis (3 papers) and COVID-19 Clinical Research Studies (3 papers). Shan Mou collaborates with scholars based in China, United States and Australia. Shan Mou's co-authors include Wei Tao, Zhongmin Tang, Kam W. Leong, Na Kong, Weihong Tan, Ping Hu, Jianlin Shi, Róbert Langer, Yihai Cao and Jong Seung Kim and has published in prestigious journals such as Nature Reviews Materials, Frontiers in Pharmacology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Shan Mou

14 papers receiving 334 citations

Peers

Shan Mou
Comparison fields: 5 of 86
  • Infectious Diseases 121
  • Biomedical Engineering 116
  • Molecular Biology 90
  • Pulmonary and Respiratory Medicine 39
  • Materials Chemistry 33
Replace Hung-Chih Chen with:
Hung-Chih Chen Taiwan
Soham Mukherjee India
Yue Cai China
Zhuoming Zhou China
Fanjun Zeng China
Alexandra Gruber Germany
Zhengrong Yin China
Mingjun Liu China
Sihong Lu China
Nidhi Verma India
Hung-Chih Chen Taiwan View profile →
Citations per field, relative to Shan Mou
Shan Mou · 1×
Citations per year, relative to Shan Mou
Shan Mou · 1×

Countries citing papers authored by Shan Mou

Since Specialization
Citations

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

Fields of papers citing papers by Shan Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Mou

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 12
3 3
4 6
5 2
6 0
7 8
8 2
9 4
10 1
11 11
12 259
13 7
14 2
15 21
16
[Analysis of associated factors for remission and relapse in proliferative and membranous lupus nephritis patients: a 4-year follow-up study].
0
17 1

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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