Xiaolan Shen

17 papers receiving 4.9k citations

Xiaolan Shen's Hit Papers

Role of AMP-activated protein kinase in mechanism of metformin action 2001 · 4.5k citations
4.5k0+8+16Years since publication10002.0k3.0k4.0k

Peers

Xiaolan Shen
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Molecular Biology 3.7k
  • Geriatrics and Gerontology 153
  • Physiology 1.0k
  • Aging 66
Replace Nobuharu Fujii with:
Nobuharu Fujii Japan
Jocelyne Leclerc France
X. Charlie Dong United States
Ling He United States
Hideaki Kaneto Japan
Deborah A. Siwik United States
Francesco Oriente Italy
Yves Gorin United States
Filomena de Nigris Italy
Yi Zhu China
Xiaolan Shen relative to Nobuharu Fujii Japan Nobuharu Fujii's profile →
Citations per field
00.5×1.5×
Nobuharu Fujii · 1×
Citations per year

Countries citing papers authored by Xiaolan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaolan Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaolan Shen Line = papers co-authored together Xiaolan Shen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Role of AMP-activated protein kinase in mechanism of metformin action
Hit paper breakdown →
20014500
2 2001406
3 201427
4 201922
5 201922
6 201519
7 202314
8 202413
9 202011
10 20209
11 20196
12 20125
13 20085
14 20232
15 20222
16 20222
17 20241
18 20250
19 20240

About Xiaolan Shen

Xiaolan Shen is a scholar working on Water Science and Technology, Biomedical Engineering, Electrochemistry, Molecular Biology and Catalysis, having authored 19 papers that have together received 5.1k indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (5 papers), Advanced oxidation water treatment (5 papers), Membrane Separation Technologies (5 papers), Electrochemical Analysis and Applications (4 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Molecular Biology (3.7k citations), Geriatrics and Gerontology (153 citations), Physiology (1.0k citations) and Aging (66 citations). Xiaolan Shen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Gaochao Zhou, Yuli Chen, Robert P. Myers, Judy Fenyk‐Melody, Nicolas Musi, John Ventre, Margaret Wu, Thomas W. Doebber, David E. Moller and Laurie J. Goodyear. Their work appears in journals such as Water Science & Technology, Separation and Purification Technology, Journal of Clinical Investigation, Journal of Electroanalytical Chemistry and Environmental Technology.

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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