Li Pan

2.0k citations
72 papers · 1.3k · h-index 22

Impact in

Papers in

    • Fungal and yeast genetics research 15
    • CRISPR and Genetic Engineering 9
    • Genomics and Phylogenetic Studies 7
    • Enzyme Production and Characterization 8
    • Microbial Metabolism and Applications 5

Li Pan

69 papers receiving 1.2k citations

Peers

Li Pan
Comparison fields: 5 of 93
  • Biotechnology 262
  • Applied Microbiology and Biotechnology 27
  • Pharmacology 181
  • Molecular Biology 734
  • Plant Science 251
Replace Isabelle Benoit with:
Isabelle Benoit France
Patricia vanKuyk Netherlands
Shihong Zhang China
Javier Barrios-González Mexico
Kazuhiro Iwashita Japan
Aabid Manzoor Shah China
Takuji Oka Japan
Menghao Cai China
Marina Kimiko Kadowaki Brazil
Yoji Hata Japan
Li Pan relative to Isabelle Benoit France Isabelle Benoit's profile →
Citations per field
00.5×4.2×
Isabelle Benoit · 1×
Citations per year

Countries citing papers authored by Li Pan

Since Specialization
Citations

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

Fields of papers citing papers by Li Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010166
2 201254
3 201945
4 200945
5 201739
6 201839
7 201938
8 202137
9 202135
10 200833
11 201533
12 201431
13 201931
14 202129
15 202127
16 201926
17 201724
18 201722
19 201822
20 201922

About Li Pan

Li Pan is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Plant Science and Biomedical Engineering, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (15 papers), CRISPR and Genetic Engineering (9 papers), Bacterial Genetics and Biotechnology (8 papers), Enzyme Production and Characterization (8 papers), Microbial Natural Products and Biosynthesis (8 papers), Genomics and Phylogenetic Studies (7 papers), Biofuel production and bioconversion (6 papers) and Microbial Metabolism and Applications (5 papers). The work is most often cited by research in Biotechnology (262 citations), Applied Microbiology and Biotechnology (27 citations), Pharmacology (181 citations), Molecular Biology (734 citations) and Plant Science (251 citations). Li Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Pan, Ying Lin, Lianggang Huang, Bin Wang, Minghui He, Lijie Pan, Yanrui Ye, Xin Liu, Yong Guo and Dou Yu. Their work appears in journals such as Biotechnology Letters, Protein Expression and Purification, International Journal of Biological Macromolecules, Microbial Cell Factories and Microbiological 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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