Yipin Lei

732 citations
7 papers · 221 · h-index 4

Impact in

    • Computational Drug Discovery Methods
    • Machine Learning in Bioinformatics
    • vaccines and immunoinformatics approaches
    • Protein Structure and Dynamics
    • Bioinformatics and Genomic Networks
    • RNA and protein synthesis mechanisms
    • Chemical Synthesis and Analysis

Papers in

    • Bioinformatics and Genomic Networks 3
    • Machine Learning in Bioinformatics 2
    • Protein Structure and Dynamics 2
    • Single-cell and spatial transcriptomics 1
    • vaccines and immunoinformatics approaches 1
    • Computational Drug Discovery Methods 5

Yipin Lei

7 papers receiving 215 citations

Peers

Yipin Lei
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 71
  • Molecular Biology 184
  • Microbiology 11
  • Immunology 24
  • Radiology, Nuclear Medicine and Imaging 24
Replace Qianmu Yuan with:
Qianmu Yuan China
Tingzhong Tian China
Steven J. Darnell United States
Lior Zimmerman Israel
Drew Bryant United States
Mingkun Lu China
Runyu Jing China
Derek van Tilborg Netherlands
Francois Berenger Japan
Tanlin Sun China
Yipin Lei relative to Qianmu Yuan China Qianmu Yuan's profile →
Citations per field
00.5×1.5×2.5×
Qianmu Yuan · 1×
Citations per year

Countries citing papers authored by Yipin Lei

Since Specialization
Citations

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

Fields of papers citing papers by Yipin Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Yipin Lei, 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 Yipin Lei Line = papers co-authored together Yipin Lei links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2021146
2 202343
3 202019
4 20237
5 20242
6 20242
7 20222

About Yipin Lei

Yipin Lei is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 221 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Computational Theory and Mathematics (71 citations), Molecular Biology (184 citations), Microbiology (11 citations), Immunology (24 citations) and Radiology, Nuclear Medicine and Imaging (24 citations). Yipin Lei has collaborated with scholars based in China, France and Russia. Frequent co-authors include Jianyang Zeng, Dan Zhao, Shuya Li, Tingzhong Tian, Fangping Wan, Shao Li, Ziyi Liu, Jianzhu Ma, Lemei Jia and Lin Gao. Their work appears in journals such as Nature Communications, Nature Machine Intelligence, Frontiers in Pharmacology, PLoS Computational Biology and National Science Review.

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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