Li Qiang

6.4k citations
68 papers · 4.6k · 2 hit papers · h-index 32

Impact in

Papers in

    • Adipose Tissue and Metabolism 34
    • Peroxisome Proliferator-Activated Receptors 12
    • FOXO transcription factor regulation 4
    • Metabolism, Diabetes, and Cancer 4

Li Qiang

65 papers receiving 4.5k citations

Hit Papers

Structure-based prediction of protein–protein interactions on a genome-wide scale 2012 · 527 citations
5270+4+9Years since publication200400600

Peers

Li Qiang
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 681
  • Physiology 1.9k
  • Aging 73
  • Epidemiology 1.4k
  • Biochemistry 270
Replace Eun Ju Bae with:
Eun Ju Bae South Korea
Hiroyasu Yamamoto Japan
Zhijun Luo United States
Qiang Tong United States
Tadahiro Shimazu Japan
Luciana Tessitore Italy
Joseph V. Virbasius United States
Jean‐François Tanti France
Thomas Pulinilkunnil Canada
Shaodong Guo United States
Li Qiang relative to Eun Ju Bae South Korea Eun Ju Bae's profile →
Citations per field
00.5×2.7×
Eun Ju Bae · 1×
Citations per year

Countries citing papers authored by Li Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Li Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li Qiang, 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 Li Qiang Line = papers co-authored together Li Qiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brown Remodeling of White Adipose Tissue by SirT1-Dependent Deacetylation of Pparγ
Hit paper breakdown →
2012666
2
Structure-based prediction of protein–protein interactions on a genome-wide scale
Hit paper breakdown →
2012527
3 2011239
4 2007234
5 2017174
6 2006171
7 2004159
8 2009159
9 2007157
10 2011152
11 2010143
12 2013137
13 2015133
14 2011102
15 202296
16 202194
17 200981
18 201867
19 201160
20 201855

About Li Qiang

Li Qiang is a scholar working on Physiology, Molecular Biology, Epidemiology, Geriatrics and Gerontology and Biochemistry, having authored 68 papers that have together received 4.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Sirtuins and Resveratrol in Medicine (12 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Liver Disease Diagnosis and Treatment (6 papers), Lipid metabolism and biosynthesis (5 papers), FOXO transcription factor regulation (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Geriatrics and Gerontology (681 citations), Physiology (1.9k citations), Aging (73 citations), Epidemiology (1.4k citations) and Biochemistry (270 citations). Li Qiang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Stephen R. Farmer, Domenico Accili, Wei Gu, Hong Wang, Ning Kon, Alexander S. Banks, Liheng Wang, Wenhui Zhao, Yingming Zhao and Sangkyu Lee. Their work appears in journals such as Cell Metabolism, Journal of Biological Chemistry, Molecular and Cellular Biology, Diabetes and Molecular Metabolism.

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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