Lan Liu

843 citations
43 papers · 668 · h-index 14

Impact in

    • Antibiotic Resistance in Bacteria
    • Genetic Associations and Epidemiology
    • Diabetes and associated disorders
    • Inflammatory Bowel Disease

Papers in

Lan Liu

40 papers receiving 639 citations

Peers

Lan Liu
Comparison fields: 5 of 84
  • Molecular Medicine 83
  • Genetics 129
  • Insect Science 37
  • Behavioral Neuroscience 9
  • Endocrinology, Diabetes and Metabolism 53
Replace Francesco Prisco with:
Francesco Prisco Italy
Ítalo Sousa Pereira Brazil
Alireza Zamani Iran
Fengli Liu China
Yanbing Zhou China
Maureen J. Ostaff Germany
Gunnel Östergren‐Lundén Sweden
Ida A. J. Giebelen Netherlands
Davide De Biase Italy
Lan Liu relative to Francesco Prisco Italy Francesco Prisco's profile →
Citations per field
00.5×5×10×16.5×
Francesco Prisco · 1×
Citations per year

Countries citing papers authored by Lan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 200886
3 200358
4 202155
5 201248
6 201929
7 202328
8 199624
9 200722
10 202322
11 201519
12 201515
13 201715
14 202415
15 200812
16 202011
17 201310
18 20229
19 20239
20 20137

About Lan Liu

Lan Liu is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Medicine, Molecular Biology and Obstetrics and Gynecology, having authored 43 papers that have together received 668 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Diabetes and associated disorders (4 papers), Genomics and Phylogenetic Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Gestational Diabetes Research and Management (2 papers), Diabetes Treatment and Management (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Medicine (83 citations), Genetics (129 citations), Insect Science (37 citations), Behavioral Neuroscience (9 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Lan Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tao Jiang, Tongtong Zou, Douglas J. Turner, Xianwei Cui, Jaladanki N. Rao, Chenbo Ji, Qiu Zhao, Xin Guo, Yangyang Wu and Min Chen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Journal of Functional Foods, American Journal of Physiology-Gastrointestinal and Liver Physiology and Cell 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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