Lujiao Li

576 citations
24 papers · 433 · h-index 13

Impact in

Papers in

Lujiao Li

24 papers receiving 426 citations

Peers

Lujiao Li
Comparison fields: 5 of 62
  • Endocrine and Autonomic Systems 46
  • Physiology 123
  • Experimental and Cognitive Psychology 49
  • Endocrinology, Diabetes and Metabolism 62
  • Public Health, Environmental and Occupational Health 108
Replace Yavuz Şimşek with:
Yavuz Şimşek Türkiye
Hassan Kahal United Kingdom
Meizhi Li China
Heidi B. IglayReger United States
Joe C. Christian United States
Thomas W. Winkler Germany
Gülçin Akıncı Türkiye
Kohji Kiwaki Japan
Susanne Bokmand Denmark
Lujiao Li relative to Yavuz Şimşek Türkiye Yavuz Şimşek's profile →
Citations per field
00.5×2.6×
Yavuz Şimşek · 1×
Citations per year

Countries citing papers authored by Lujiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Lujiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201663
2 201844
3 201740
4 201934
5 201731
6 201830
7 201629
8 201719
9 201917
10 201817
11 201817
12 201714
13 201613
14 201912
15 201811
16 20188
17 20178
18 20176
19 20215
20 20104

About Lujiao Li

Lujiao Li is a scholar working on Epidemiology, Physiology, Genetics, Molecular Biology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 433 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Connective tissue disorders research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Regulation of Appetite and Obesity (4 papers), Bone and Dental Protein Studies (3 papers), Fibroblast Growth Factor Research (3 papers), Advanced Photonic Communication Systems (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (46 citations), Physiology (123 citations), Experimental and Cognitive Psychology (49 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Public Health, Environmental and Occupational Health (108 citations). Lujiao Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ming Li, Shan Gao, Mingyao Li, Junling Fu, Jie Mi, Ge Li, Struan F.A. Grant, Dan Feng, Weibo Xia and Yan Jiang. Their work appears in journals such as Clinica Chimica Acta, Cardiovascular Diabetology, Scientific Reports, Clinical Endocrinology and Bioscience Reports.

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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