Shengduo Liu

2.4k citations
11 papers · 1.7k indexed · 2 hit papers · h-index 9
Topics
interferon and immune responses (8 papers)Viral Infections and Vectors (5 papers)RNA regulation and disease (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Shengduo Liu

10 papers receiving 1.7k citations

Hit Papers

Ferromagnetic soft continuum robots201920262021202320192022250500750

Peers

Shengduo Liu
Comparison fields: 5 of 104
  • Biomedical Engineering 774
  • Mechanical Engineering 532
  • Condensed Matter Physics 479
  • Immunology 433
  • Molecular Biology 414
Replace Masaru Takeuchi with:
Masaru Takeuchi Japan
Akihiko Ichikawa Japan
Jiyun Kim South Korea
Abigail K. Grosskopf United States
Angelo S. Mao United States
Qingzhen Yang China
Chwee Ming Lim Singapore
Satoshi Konishi Japan
Akihiro Nishiguchi Japan
Tianzhi Luo China
Shengduo Liu relative to Masaru Takeuchi Japan Masaru Takeuchi's profile →
Citations per field
00.5×
Masaru Takeuchi · 1×
Citations per year

Countries citing papers authored by Shengduo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shengduo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengduo Liu

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 5
3
A non-canonical cGAS–STING–PERK pathway facilitates the translational program critical for senescence and organ fibrosisbreakdown →
163
4 19
5 42
6 64
7 192
8
Ferromagnetic soft continuum robotsbreakdown →
984
9 32
10 158
11 68

About Shengduo Liu

Shengduo Liu is a scholar working on Immunology, Infectious Diseases and Biochemistry, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), Viral Infections and Vectors (5 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Condensed Matter Physics (479 citations), Immunology (433 citations) and Biomedical Engineering (774 citations). Shengduo Liu has collaborated with scholars based in China and United States. Frequent co-authors include German Alberto Parada, Yoonho Kim, Xuanhe Zhao, Pinglong Xu, Xin‐Hua Feng, Jian Zou, Fansen Meng, Ruyuan Zhou, Jun Qin and Shasha Chen. Their work appears in journals such as Nature Communications, Genes & Development and Molecular Cell.

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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