Lie Min

1.0k total citations
25 papers, 796 citations indexed

About

Lie Min is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Lie Min has authored 25 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in Lie Min's work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Protein purification and stability (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Lie Min is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (8 papers), Protein purification and stability (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Lie Min collaborates with scholars based in United States, Germany and United Kingdom. Lie Min's 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, Richard W. Kriwacki and Christy R. Grace and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Lie Min

25 papers receiving 788 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lie Min United States 15 608 157 139 110 72 25 796
Jian-Guo Ren United States 10 780 1.3× 57 0.4× 99 0.7× 161 1.5× 37 0.5× 13 1.1k
Ajay Sharma India 19 629 1.0× 183 1.2× 66 0.5× 97 0.9× 29 0.4× 72 1.3k
Emily E. Brown United States 13 639 1.1× 132 0.8× 115 0.8× 90 0.8× 20 0.3× 20 887
Ren Liu United States 18 874 1.4× 80 0.5× 127 0.9× 214 1.9× 35 0.5× 46 1.3k
Т. А. Смирнова Russia 17 452 0.7× 42 0.3× 254 1.8× 289 2.6× 41 0.6× 46 943
Jonghwa Jin South Korea 14 395 0.6× 59 0.4× 89 0.6× 104 0.9× 67 0.9× 31 716
Luis M. Blancas‐Mejía United States 16 775 1.3× 93 0.6× 41 0.3× 138 1.3× 16 0.2× 24 996
Xiaoping Hronowski United States 15 528 0.9× 61 0.4× 93 0.7× 54 0.5× 25 0.3× 17 742
Jean‐Pierre Gies France 16 475 0.8× 35 0.2× 121 0.9× 68 0.6× 33 0.5× 36 811
Stéphanie Zdanov Belgium 11 512 0.8× 33 0.2× 185 1.3× 174 1.6× 21 0.3× 12 990

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-authorship network of co-authors of Lie Min

This figure shows the co-authorship network connecting the top 25 collaborators of Lie Min. A scholar is included among the top collaborators of Lie Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lie Min. Lie Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Min, Lie, et al.. (2025). A comparison of SWATH-MS methods for measurement of residual host cell proteins in adeno-associated virus preparations. Frontiers in Bioengineering and Biotechnology. 13. 1579098–1579098. 1 indexed citations
2.
Becker, Matthew L., Leila H. Choe, Lie Min, et al.. (2024). Factors affecting product association as a mechanism of host‐cell protein persistence in bioprocessing. Biotechnology and Bioengineering. 121(4). 1283–1296. 2 indexed citations
3.
Min, Lie, et al.. (2024). Quantitative proteomic analysis of residual host cell protein retention across adeno-associated virus affinity chromatography. Molecular Therapy — Methods & Clinical Development. 32(4). 101383–101383. 5 indexed citations
4.
Choe, Leila H., Lie Min, Taufika Islam Williams, et al.. (2023). Identification and characterization of CHO host‐cell proteins in monoclonal antibody bioprocessing. Biotechnology and Bioengineering. 121(1). 291–305. 16 indexed citations
5.
Min, Lie, Leila H. Choe, Xuankuo Xu, et al.. (2023). Analytical characterization of host‐cell‐protein‐rich aggregates in monoclonal antibody solutions. Biotechnology Progress. 39(4). e3343–e3343. 10 indexed citations
6.
Min, Lie, Leila H. Choe, Xuankuo Xu, et al.. (2023). Behavior of host-cell-protein-rich aggregates in antibody capture and polishing chromatography. Journal of Chromatography A. 1702. 464081–464081. 10 indexed citations
7.
Becker, Matthew L., Leila H. Choe, Lie Min, et al.. (2022). Characterization and implications of host‐cell protein aggregates in biopharmaceutical processing. Biotechnology and Bioengineering. 120(4). 1068–1080. 20 indexed citations
8.
Min, Lie, et al.. (2022). Comprehensive assessment of host cell protein expression after extended culture and bioreactor production of CHO cell lines. Biotechnology and Bioengineering. 119(8). 2221–2238. 15 indexed citations
9.
Grace, Christy R., David Ban, Jaeki Min, et al.. (2016). Monitoring Ligand-Induced Protein Ordering in Drug Discovery. Journal of Molecular Biology. 428(6). 1290–1303. 26 indexed citations
10.
Joseph, R, et al.. (2015). Scaffold Protein SLP-76 Primes PLCγ1 for Activation by ITK-Mediated Phosphorylation. Journal of Molecular Biology. 427(17). 2734–2747. 15 indexed citations
11.
Venkataramanan, Keerthi P., Lie Min, Shuyu Hou, et al.. (2015). Complex and extensive post-transcriptional regulation revealed by integrative proteomic and transcriptomic analysis of metabolite stress response in Clostridium acetobutylicum. Biotechnology for Biofuels. 8(1). 81–81. 34 indexed citations
12.
13.
Min, Lie, Leila H. Choe, & Kelvin H. Lee. (2015). Improved protease digestion conditions for membrane protein detection. Electrophoresis. 36(15). 1690–1698. 13 indexed citations
14.
Follis, Ariele Viacava, Jerry E. Chipuk, John C. Fisher, et al.. (2013). PUMA binding induces partial unfolding within BCL-xL to disrupt p53 binding and promote apoptosis. Nature Chemical Biology. 9(3). 163–168. 132 indexed citations
15.
Min, Lie, et al.. (2010). Disrupting the Intermolecular Self-Association of Itk Enhances T Cell Signaling. The Journal of Immunology. 184(8). 4228–4235. 14 indexed citations
16.
Joseph, R, Andrew Severin, Lie Min, D. Bruce Fulton, & Amy H. Andreotti. (2009). SH2-Dependent Autophosphorylation within the Tec Family Kinase Itk. Journal of Molecular Biology. 391(1). 164–177. 14 indexed citations
17.
Joseph, R, Lie Min, & Amy H. Andreotti. (2007). The Linker between SH2 and Kinase Domains Positively Regulates Catalysis of the Tec Family Kinases. Biochemistry. 46(18). 5455–5462. 38 indexed citations
18.
19.
Min, Lie. (2005). A case study of proline isomerization in cell signaling. Frontiers in bioscience. 10(1-3). 385–385. 26 indexed citations
20.
Liu, Xiaowen, et al.. (2002). Analysis of protein, amino acids and some elements in mantellum of four kinds of freshwater mussel. Tianran chanwu yanjiu yu kaifa. 14(3). 45–49. 2 indexed citations

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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