Lan Li

1.4k citations
69 papers · 982 · h-index 17

Impact in

Papers in

    • Animal Genetics and Reproduction 6
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Virus-based gene therapy research 3
    • Biodiesel Production and Applications 4
    • 3D Printing in Biomedical Research 4

Lan Li

57 papers receiving 967 citations

Peers

Lan Li
Comparison fields: 5 of 129
  • Atmospheric Science 151
  • Health, Toxicology and Mutagenesis 108
  • Biomaterials 102
  • Molecular Medicine 32
  • Earth-Surface Processes 43
Replace Liming Xu with:
Liming Xu China
David J. Simpson United Kingdom
Yuki Chan Hong Kong
Daisuke Tanaka Japan
Ronald J. Patterson United States
María Soledad Fernández Argentina
Frank Schulze Germany
Dan Jiao China
Cristiano Di Benedetto Italy
Sergio Ciordia Spain
Lan Li relative to Liming Xu China Liming Xu's profile →
Citations per field
00.5×1.5×2.2×
Liming Xu · 1×
Citations per year

Countries citing papers authored by Lan Li

Since Specialization
Citations

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

Fields of papers citing papers by Lan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 201899
3 201191
4 201856
5 200646
6 201942
7 201940
8 200636
9 201333
10 202131
11 202230
12 202030
13 201825
14 202221
15 202220
16 202217
17 200617
18 202114
19 202513
20 202211

About Lan Li

Lan Li is a scholar working on Genetics, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 69 papers that have together received 982 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Biodiesel Production and Applications (4 papers), Genetic and phenotypic traits in livestock (4 papers), 3D Printing in Biomedical Research (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Virus-based gene therapy research (3 papers) and Advanced Combustion Engine Technologies (3 papers). The work is most often cited by research in Atmospheric Science (151 citations), Health, Toxicology and Mutagenesis (108 citations), Biomaterials (102 citations), Molecular Medicine (32 citations) and Earth-Surface Processes (43 citations). Lan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Shen, Qingqiang Yao, Lingjiang Min, Qingjie Pan, Huansheng Dong, Xiao‐Feng Sun, Huayu Lu, Cheng Zhu, Chunmei Ma and Xiaojian Zhang. Their work appears in journals such as Physics of Fluids, Plant and Soil, Molecular Biology Reports, Animals and Conservation Genetics.

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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