Li Lu

1.5k citations
57 papers · 1.2k · h-index 20

Impact in

    • Peroxisome Proliferator-Activated Receptors
    • Inflammasome and immune disorders
    • Metabolism, Diabetes, and Cancer
    • Heme Oxygenase-1 and Carbon Monoxide

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Inflammasome and immune disorders 4
    • Metabolism, Diabetes, and Cancer 2
    • Adipose Tissue and Metabolism 4
    • Alzheimer's disease research and treatments 3

Li Lu

55 papers receiving 1.2k citations

Peers

Li Lu
Comparison fields: 5 of 111
  • Biological Psychiatry 31
  • Molecular Biology 563
  • Neurology 53
  • Biochemistry 39
  • Cardiology and Cardiovascular Medicine 132
Replace Dina M. Abo‐Elmatty with:
Dina M. Abo‐Elmatty Egypt
Cecilia Hsuan Day Taiwan
Jing Wen China
Peng Zhou China
Geum‐Hwa Lee South Korea
Ahsas Goyal India
Mabel Buelna‐Chontal Mexico
Hongna Mu China
Mohamed S. Zaïbi United Kingdom
Li Lu relative to Dina M. Abo‐Elmatty Egypt Dina M. Abo‐Elmatty's profile →
Citations per field
00.5×1.7×
Dina M. Abo‐Elmatty · 1×
Citations per year

Countries citing papers authored by Li Lu

Since Specialization
Citations

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

Fields of papers citing papers by Li Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2011128
3 200279
4 202274
5 201462
6 202050
7 202046
8 200444
9 200942
10 200841
11 201036
12 202032
13 202030
14 200728
15 201328
16 201328
17 200325
18 201720
19 200519
20 202219

About Li Lu

Li Lu is a scholar working on Molecular Biology, Physiology, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Adipose Tissue and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Inflammasome and immune disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Biological Psychiatry (31 citations), Molecular Biology (563 citations), Neurology (53 citations), Biochemistry (39 citations) and Cardiology and Cardiovascular Medicine (132 citations). Li Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ling‐Yi Kong, Jianguang Luo, Gregory G. Schwartz, Clifford R. Greyson, Ya Xu, Zheying Zhu, Wei Chen, Qianyi Lu, Shuzhi Zhao and Chang-Run Guo. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Diabetologia, Food Chemistry, Journal of Chromatography B and Biomedical Chromatography.

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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