Shu-Chen Lu

862 citations
13 papers · 697 indexed · 1 hit paper · h-index 9
Topics
Diabetes Treatment and Management (5 papers)Receptor Mechanisms and Signaling (4 papers)Neuropeptides and Animal Physiology (2 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Shu-Chen Lu

12 papers receiving 681 citations

Hit Papers

A GIPR antagonist conjugated to GLP-1 analogues promotes ...2024202620252024255075100

Peers

Shu-Chen Lu
Comparison fields: 5 of 71
  • Molecular Biology 413
  • Endocrinology, Diabetes and Metabolism 238
  • Physiology 143
  • Surgery 122
  • Endocrine and Autonomic Systems 98
Replace Yoichi Hamada with:
Yoichi Hamada Japan
Luca Meoli Germany
Susanna Mac United States
Rodolphe Dusaulcy Switzerland
Rupert G. Yip United States
Ingo Uphues Germany
Laurent Pascual-Le Tallec France
Walter Renn Germany
F. Ichikawa Japan
Yvan Gosmain Switzerland
Shu-Chen Lu relative to Yoichi Hamada Japan Yoichi Hamada's profile →
Citations per field
00.5×10×20×30×38.3×
Yoichi Hamada · 1×
Citations per year

Countries citing papers authored by Shu-Chen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Chen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Chen Lu. 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 Shu-Chen Lu. The network helps show where Shu-Chen Lu may publish in the future.

Co-authorship network of co-authors of Shu-Chen Lu

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 11
2 0
3
A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settingsbreakdown →
115
4 71
5 72
6 3
7 6
8 16
9 28
10 5
11 35
12 46
13 289

About Shu-Chen Lu

Shu-Chen Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Molecular Biology, having authored 13 papers that have together received 697 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (98 citations), Endocrinology, Diabetes and Metabolism (238 citations) and Molecular Biology (413 citations). Shu-Chen Lu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Murielle M. Véniant, Todd Hager, Shanaka Stanislaus, Richard Lindberg, Narumol Chinookoswong, Melissa Graham, Randy Hecht, Yvonne Lau, Yang Li and Jing Xu. Their work appears in journals such as PLoS ONE, Endocrine Reviews and Journal of Lipid Research.

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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