Wei Shao

14.8k total citations · 1 hit paper
24 papers, 924 citations indexed

About

Wei Shao is a scholar working on Molecular Biology, Surgery and Biochemistry. According to data from OpenAlex, Wei Shao has authored 24 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Biochemistry. Recurrent topics in Wei Shao's work include Lipid metabolism and biosynthesis (7 papers), Cholesterol and Lipid Metabolism (6 papers) and RNA Research and Splicing (5 papers). Wei Shao is often cited by papers focused on Lipid metabolism and biosynthesis (7 papers), Cholesterol and Lipid Metabolism (6 papers) and RNA Research and Splicing (5 papers). Wei Shao collaborates with scholars based in United States, China and Denmark. Wei Shao's co-authors include Peter J. Espenshade, Carolyn E. Machamer, Koh Fujinaga, B. Matija Peterlin, Shijie Ding, Xiaohong Chen, Xianchao Feng, Guanghong Zhou, Yaping Liu and Xiaojing Fan and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Molecular and Cellular Biology.

In The Last Decade

Wei Shao

24 papers receiving 913 citations

Hit Papers

Expanding Roles for SREBP in Metabolism 2012 2026 2016 2021 2012 100 200 300 400

Peers

Wei Shao
Comparison fields: 5 of 82
  • Molecular Biology 532
  • Cancer Research 267
  • Surgery 247
  • Biochemistry 125
  • Epidemiology 102
Replace Jinbo Han with:
Jinbo Han China
Allison L. McDaniel United States
Hongmei Cui China
Kamal D. Mehta United States
Qinghua Wang China
Cixiong Zhang China
Yoko Nemoto‐Sasaki Japan
Jennifer A. Beckstead United States
Tanya D. Russell United States
Raymond Ng United States
Jinbo Han China View profile →
Citations per field, relative to Wei Shao
Wei Shao · 1×
Citations per year, relative to Wei Shao
Wei Shao · 1×

Countries citing papers authored by Wei Shao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shao. A scholar is included among the top collaborators of Wei Shao 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 Wei Shao. Wei Shao 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 2
2 2
3 27
4 54
5 1
6 10
7 10
8 17
9 9
10 19
11 63
12 28
13 22
14 31
15 15
16 71
17 53
18
Expanding Roles for SREBP in Metabolism breakdown →
423
19 4
20 11

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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