Shan Wu

595 citations
24 papers · 439 indexed · 1 hit paper · h-index 10
Topics
stochastic dynamics and bifurcation (3 papers)Mitochondrial Function and Pathology (2 papers)Neurological and metabolic disorders (2 papers)

In The Last Decade

Shan Wu

20 papers receiving 429 citations

Hit Papers

The association between non-high-density lipoprotein chol...20242026202520241020304050

Peers

Shan Wu
Comparison fields: 5 of 81
  • Molecular Biology 122
  • Cardiology and Cardiovascular Medicine 98
  • Physiology 90
  • Endocrinology, Diabetes and Metabolism 85
  • Neurology 71
Replace Jin Kyung Kim with:
Jin Kyung Kim United States
Shradha Rathi United States
Suneet Purohit United States
Sarah Longnus Switzerland
Danielle J. McCullough United States
Shotaro Saito Japan
S. Mouton France
Lawrence Nair United States
Xiaoyu Tang China
Neoma T. Boardman Norway
Shan Wu relative to Jin Kyung Kim United States Jin Kyung Kim's profile →
Citations per field
00.5×2.6×
Jin Kyung Kim · 1×
Citations per year

Countries citing papers authored by Shan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Wu. A scholar is included among the top collaborators of Shan Wu 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 Wu. Shan Wu 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
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 3
6 0
7 3
8
The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio with type 2 diabetes mellitus: recent findings from NHANES 2007–2018breakdown →
50
9 2
10 1
11 1
12 9
13 50
14 84
15 33
16 40
17 11
18 45
19 56
20 3

About Shan Wu

Shan Wu is a scholar working on Aging, Computer Graphics and Computer-Aided Design and Statistical and Nonlinear Physics, having authored 24 papers that have together received 439 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (3 papers), Mitochondrial Function and Pathology (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Aging (24 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Neurology (71 citations). Shan Wu has collaborated with scholars based in China, United States and Myanmar. Frequent co-authors include Jun Ren, Shiyan Li, Qun Li, Qun Li, ‬Min Du, Cindy X. Fang, Piero Anversa, Faye L. Lopez, Jan Kajstura and Asli F. Ceylan‐Isik. Their work appears in journals such as Stroke, Journal of Applied Physiology and Journal of Materials Chemistry A.

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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