Lanping Liu

22 papers receiving 399 citations

Peers

Lanping Liu
Comparison fields: 5 of 65
  • Molecular Medicine 163
  • Endocrinology 51
  • Pollution 69
  • Pharmacology 92
  • Complementary and alternative medicine 30
Replace Chunguang Luan with:
Chunguang Luan China
Rajesh P. Shastry India
Min Jung Kwun United Kingdom
Mohammad Raftari Iran
Yong-Hong Fu China
Ilyas Ali China
Natalia S. Corbalán Argentina
Peter W. Davenport United Kingdom
Wugao Liu China
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Citations per year

Countries citing papers authored by Lanping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lanping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 202063
3 201338
4 201538
5 201430
6 201524
7 201723
8 202216
9 201616
10 20169
11 20248
12 20198
13
[Significance of dual-time-point 18F-FDG PET imaging in evaluation of hilar and mediastinal lymph node metastasis in non-small-cell lung cancer].
20088
14
IL-21 polymorphisms rs907715 and rs2221903 are associated with decreased non-small cell lung cancer susceptibility.
20156
15
Two thalassemia intermedia patients with δβ/β-tha- lassemia and a deletional type α -thalassemia
20014
16 20253
17 20223
18
[Preliminary study of 18F-FDG PET-CT in defining lymph node radiation target volume for non-small-cell lung cancer patients].
20073
19 20232
20 20252

About Lanping Liu

Lanping Liu is a scholar working on Molecular Medicine, Molecular Biology, Pharmacology, Epidemiology and Oncology, having authored 22 papers that have together received 410 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Acupuncture Treatment Research Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Bacterial biofilms and quorum sensing (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Head and Neck Cancer Studies (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Molecular Medicine (163 citations), Endocrinology (51 citations), Pollution (69 citations), Pharmacology (92 citations) and Complementary and alternative medicine (30 citations). Lanping Liu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Dandan He, Jian–Hua Liu, Zhenling Zeng, Liangliang Wang, Yushan Pan, Gongzheng Hu, Sally R. Partridge, Luchao Lv, Xiaojie Chen and Jianzhong Shen. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Fish & Shellfish Immunology, Current Pain and Headache Reports, Carbohydrate Polymers and PLoS ONE.

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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