Lie Min

1.1k citations
26 papers · 841 · h-index 16

Impact in

    • Protein purification and stability
    • Viral Infectious Diseases and Gene Expression in Insects
    • Cell death mechanisms and regulation
    • Protein Structure and Dynamics
    • T-cell and B-cell Immunology

Papers in

Lie Min

25 papers receiving 831 citations

Peers

Lie Min
Comparison fields: 5 of 85
  • Molecular Biology 616
  • Immunology 148
  • Radiology, Nuclear Medicine and Imaging 155
  • Neurology 56
  • Genetics 48
Replace Ajay Sharma with:
Ajay Sharma India
Divya Khaitan India
Christine Rothe Germany
Koichi Tamoto Japan
Marco Trinchera Italy
Xiaoping Hronowski United States
Emily E. Brown United States
Andrea Shergalis United States
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Lie Min relative to Ajay Sharma India Ajay Sharma's profile →
Citations per field
00.5×2×3×3.7×
Ajay Sharma · 1×
Citations per year

Countries citing papers authored by Lie Min

Since Specialization
Citations

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

Fields of papers citing papers by Lie Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016171
2 2013141
3 2012109
4 201674
5 200741
6 201535
7 200734
8 200929
9 201627
10 200526
11 202221
12 202317
13 202217
14 201516
15 200915
16 201015
17 201514
18 202310
19 202310
20 20246

About Lie Min

Lie Min is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Infectious Diseases, having authored 26 papers that have together received 841 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Protein purification and stability (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Molecular Biology (616 citations), Immunology (148 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Neurology (56 citations) and Genetics (48 citations). Lie Min has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Kelvin H. Lee, Amy H. Andreotti, R Joseph, Abraham M. Lenhoff, Kristin N. Valente, Roman M. Levytskyy, Constantine D. Tsoukas, D. Bruce Fulton, Christy R. Grace and Richard W. Kriwacki. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Molecular Biology, Biochemistry, Molecular Therapy — Methods & Clinical Development and Nature Chemical Biology.

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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