Suhang Shang

651 total citations
50 papers, 448 citations indexed

About

Suhang Shang is a scholar working on Physiology, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Suhang Shang has authored 50 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 16 papers in Psychiatry and Mental health and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Suhang Shang's work include Alzheimer's disease research and treatments (18 papers), Dementia and Cognitive Impairment Research (15 papers) and Blood Pressure and Hypertension Studies (11 papers). Suhang Shang is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Dementia and Cognitive Impairment Research (15 papers) and Blood Pressure and Hypertension Studies (11 papers). Suhang Shang collaborates with scholars based in China and United States. Suhang Shang's co-authors include Kang Huo, Qiumin Qu, Liangjun Dang, Yu Jiang, Louyan Ma, Chen Chen, Qiumin Qu, Jingyi Wang, Meng Wei and Yanbo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

In The Last Decade

Suhang Shang

43 papers receiving 443 citations

Peers

Suhang Shang
Comparison fields: 5 of 76
  • Physiology 177
  • Psychiatry and Mental health 124
  • Neurology 92
  • Cognitive Neuroscience 83
  • Cardiology and Cardiovascular Medicine 66
Replace Liangjun Dang with:
Liangjun Dang China
Sarah Janicki United States
Paula S. Koekkoek Netherlands
Yi Xing China
Kate V. Allen United Kingdom
Rafael Sobrano Fais Brazil
Yuxia Li China
J.J. Himali United States
Stefan L.C. Geijselaers Netherlands
Erika J. Starks United States
Liangjun Dang China View profile →
Citations per field, relative to Suhang Shang
Suhang Shang · 1×
Citations per year, relative to Suhang Shang
Suhang Shang · 1×

Countries citing papers authored by Suhang Shang

Since Specialization
Citations

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

Fields of papers citing papers by Suhang Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhang Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Suhang Shang. A scholar is included among the top collaborators of Suhang Shang 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 Suhang Shang. Suhang Shang 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 0
2 0
3 0
4 0
5 2
6 1
7 1
8 6
9 4
10 3
11 4
12 3
13 7
14 2
15 8
16 1
17 17
18 12
19 10
20 33

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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