Lan Liu

823 citations
44 papers · 637 · h-index 14

Impact in

Papers in

    • Diabetes and associated disorders 5
    • Genetic Associations and Epidemiology 4
    • Genetic Mapping and Diversity in Plants and Animals 3
    • High Altitude and Hypoxia 2
    • Gene expression and cancer classification 3

Lan Liu

40 papers receiving 610 citations

Peers

Lan Liu
Comparison fields: 5 of 92
  • Molecular Medicine 76
  • Endocrinology 28
  • Genetics 130
  • Immunology 91
  • Applied Microbiology and Biotechnology 7
Replace Karolina Kowalska with:
Karolina Kowalska Poland
Lili Tian China
Amogelang R. Raphenya Canada
Yali Liu China
G Jensen Denmark
Xiaowei Yang United States
Balázs Ligeti Hungary
Wenjuan Wei China
Fuminori Sakai Japan
Lan Liu relative to Karolina Kowalska Poland Karolina Kowalska's profile →
Citations per field
00.5×1.5×1.9×
Karolina Kowalska · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200885
2 202081
3 200359
4 202149
5 201247
6 201928
7 199625
8 200724
9 202323
10 202318
11 201518
12 201515
13 201714
14 202414
15 200813
16
Absorption and redistribution of nitrogen during grain-filling period of wheat and their regulation by 6-benzylaminopurine
199610
17 202010
18 201310
19 20228
20 20237

About Lan Liu

Lan Liu is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 44 papers that have together received 637 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Genetic Associations and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Diabetes Management and Research (3 papers), Gene expression and cancer classification (3 papers), Algorithms and Data Compression (3 papers) and High Altitude and Hypoxia (2 papers). The work is most often cited by research in Molecular Medicine (76 citations), Endocrinology (28 citations), Genetics (130 citations), Immunology (91 citations) and Applied Microbiology and Biotechnology (7 citations). Lan Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Jiang, Min Chen, Tongtong Zou, Qiu Zhao, Rachel J. Santora, Jian‐Ying Wang, Jian Li, Xin Guo, Douglas J. Turner and Jaladanki N. Rao. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Cell Research, Journal of Combinatorial Optimization and International Journal of Experimental Pathology.

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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