Sheng-Cai Lin

1.9k citations
12 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Autophagy in Disease and Therapy (5 papers)Pancreatic function and diabetes (4 papers)Sirtuins and Resveratrol in Medicine (3 papers)

In The Last Decade

Sheng-Cai Lin

12 papers receiving 1.2k citations

Hit Papers

The Lysosomal v-ATPase-Ragulator Complex Is a Common Acti...20142026201820222014100200300400

Peers

Sheng-Cai Lin
Comparison fields: 5 of 87
  • Molecular Biology 859
  • Epidemiology 411
  • Surgery 235
  • Cell Biology 195
  • Physiology 147
Replace Guili Lian with:
Guili Lian China
Du Lam United States
George Talbott United States
Jens Füllgrabe Sweden
Constance Petit France
Sunandini Sridhar United States
Brittany Angarola United States
Silvia Vega-Rubín-de-Celis Germany
Zhiyuan You China
Rut Valdor Spain
Sheng-Cai Lin relative to Guili Lian China Guili Lian's profile →
Citations per field
00.5×1.7×
Guili Lian · 1×
Citations per year

Countries citing papers authored by Sheng-Cai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Cai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Cai Lin. 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 Sheng-Cai Lin. The network helps show where Sheng-Cai Lin may publish in the future.

Co-authorship network of co-authors of Sheng-Cai Lin

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 9
2 53
3 48
4 44
5
The Lysosomal v-ATPase-Ragulator Complex Is a Common Activator for AMPK and mTORC1, Acting as a Switch between Catabolism and Anabolismbreakdown →
404
6 10
7 204
8 276
9 20
10 18
11 72
12 59

About Sheng-Cai Lin

Sheng-Cai Lin is a scholar working on Geriatrics and Gerontology, Biochemistry and Molecular Biology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Pancreatic function and diabetes (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). The work is most often cited by research in Physiology (141 citations), Geriatrics and Gerontology (58 citations) and Aging (25 citations). Sheng-Cai Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shu‐Yong Lin, Guili Lian, Chen‐Song Zhang, Jiahuai Han, Jiawei Wu, Terytty Yang Li, Zhiyun Ye, Huiling Guo, Qing Liu and Mengqi Li. Their work appears in journals such as Science, Nature Communications and PLoS ONE.

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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