Min Lu

11.7k citations
165 papers · 9.7k · 2 hit papers · h-index 54

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 28
    • RNA and protein synthesis mechanisms 24
    • Advanced biosensing and bioanalysis techniques 23
    • Protein Structure and Dynamics 20
    • Glycosylation and Glycoproteins Research 13
    • HIV Research and Treatment 39

Min Lu

164 papers receiving 9.6k citations

Min Lu's Hit Papers

A method for efficient isotopic labeling of recombinant proteins 2001 · 645 citations
6450+10+20Years since publication200400600

Peers

Min Lu
Comparison fields: 5 of 140
  • Virology 3.0k
  • Infectious Diseases 2.2k
  • Molecular Biology 4.8k
  • Immunology 1.1k
  • Microbiology 311
Replace Charles S. Craik with:
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Min Lu relative to Charles S. Craik United States Charles S. Craik's profile →
Citations per field
00.5×1.5×2.5×
Charles S. Craik · 1×
Citations per year

Countries citing papers authored by Min Lu

Since Specialization
Citations

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

Fields of papers citing papers by Min Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A method for efficient isotopic labeling of recombinant proteins
Hit paper breakdown →
2001645
2
A trimeric structural domain of the HIV-1 transmembrane glycoprotein
Hit paper breakdown →
1995619
3 1997473
4 2002352
5 2007306
6 2005255
7 2009237
8 2009207
9 2006183
10 2000170
11 1998146
12 2002146
13 1997138
14 2003138
15 1993134
16 2002132
17 1995128
18 2004124
19 2004116
20 2013115

About Min Lu

Min Lu is a scholar working on Molecular Biology, Virology, Infectious Diseases, Materials Chemistry and Oncology, having authored 165 papers that have together received 9.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (39 papers), DNA and Nucleic Acid Chemistry (28 papers), RNA and protein synthesis mechanisms (24 papers), Advanced biosensing and bioanalysis techniques (23 papers), HIV/AIDS drug development and treatment (22 papers), Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (15 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Virology (3.0k citations), Infectious Diseases (2.2k citations), Molecular Biology (4.8k citations), Immunology (1.1k citations) and Microbiology (311 citations). Min Lu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Neville R. Kallenbach, Clay Bracken, Dax Fu, Peter S. Kim, Stephen C. Blacklow, Yiqun Deng, John P. Moore, Jie Liu, Qiu Guo and Qiu Guo. Their work appears in journals such as Biochemistry, Journal of Virology, Journal of Biological Chemistry, Journal of Molecular Biology and Proceedings of the National Academy of Sciences.

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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