Min Lu

6.4k total citations · 3 hit papers
133 papers, 4.7k citations indexed

About

Min Lu is a scholar working on Molecular Biology, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Lu has authored 133 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 19 papers in Aerospace Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Lu's work include Robotics and Sensor-Based Localization (15 papers), CRISPR and Genetic Engineering (14 papers) and Virus-based gene therapy research (10 papers). Min Lu is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), CRISPR and Genetic Engineering (14 papers) and Virus-based gene therapy research (10 papers). Min Lu collaborates with scholars based in China, United States and Canada. Min Lu's co-authors include Yulan Guo, Jianwei Wan, Mohammed Bennamoun, Ferdous Sohel, Avi Ashkenazi, Christoph Moroni, Scot A. Marsters, Georg Stoecklin, Xingguo Gong and N. M. Kwok and has published in prestigious journals such as Science, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Min Lu

126 papers receiving 4.6k citations

Hit Papers

3D Object Recognition in Cluttered Scenes with Local Surf... 2014 2026 2018 2022 2014 2014 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Lu China 33 2.3k 796 783 600 593 133 4.7k
Sheng Yang China 18 1.4k 0.6× 424 0.5× 334 0.4× 201 0.3× 208 0.4× 54 4.3k
Yasuhiro Aoki Japan 27 726 0.3× 336 0.4× 238 0.3× 355 0.6× 45 0.1× 92 2.4k
Won Suk Lee South Korea 55 1.7k 0.7× 239 0.3× 283 0.4× 61 0.1× 315 0.5× 363 9.9k
Changming Sun Australia 38 776 0.3× 476 0.6× 2.3k 2.9× 104 0.2× 48 0.1× 243 4.8k
Ke Li China 33 471 0.2× 933 1.2× 3.2k 4.1× 87 0.1× 94 0.2× 288 6.1k
Zesong Li China 37 2.4k 1.0× 221 0.3× 175 0.2× 92 0.2× 193 0.3× 243 5.0k
Li Fang China 27 1.4k 0.6× 40 0.1× 106 0.1× 98 0.2× 241 0.4× 96 3.4k
Mi Wang China 30 367 0.2× 903 1.1× 856 1.1× 143 0.2× 12 0.0× 277 3.9k
Frank Sauer United States 39 1.3k 0.6× 177 0.2× 647 0.8× 24 0.0× 390 0.7× 184 5.5k
Jinglu Wang China 22 412 0.2× 247 0.3× 585 0.7× 73 0.1× 28 0.0× 80 2.0k

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-authorship network of co-authors of Min Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Lu. A scholar is included among the top collaborators of Min Lu 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 Min Lu. Min Lu 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.
Zheng, Jiancheng, Fei Wang, Yaping Zhuang, et al.. (2025). An mRNA microsphere vaccine inhibiting overactivation of DNA sensing mechanisms. Science Bulletin. 71(3). 623–636.
2.
Sun, Tian-Le, et al.. (2025). Short-term photovoltaic power prediction with CPO-BILSTM based on quadratic decomposition. Electric Power Systems Research. 243. 111511–111511. 3 indexed citations
3.
Lu, Min, et al.. (2024). Toxicity study of mineral medicine haematitum. Journal of Ethnopharmacology. 333. 118406–118406.
4.
Lu, Min, et al.. (2024). Comparative transcriptomic and proteomic kinetic analysis of adeno-associated virus production systems. Applied Microbiology and Biotechnology. 108(1). 385–385. 3 indexed citations
5.
Kuang, Jingyu, Min Lu, Chuanyang Liu, et al.. (2020). RNF8 Promotes Epithelial–Mesenchymal Transition in Lung Cancer Cells via Stabilization of Slug. Molecular Cancer Research. 18(11). 1638–1649. 19 indexed citations
6.
Li, Shuyan & Min Lu. (2020). An Analysis of Translation from the Perspective of Skopos Theory——A case study of Xu Chi’s Chinese translation of Walden Lake. 77–78.
7.
Ma, Wentao, et al.. (2019). Morphological and Structural Characters of Trichomes on Various Organs of Rosa roxburghii. HortScience. 54(1). 45–51. 16 indexed citations
8.
Wei, Chuanxian, et al.. (2018). Good or bad: gut bacteria in human health and diseases. Biotechnology & Biotechnological Equipment. 32(5). 1075–1080. 63 indexed citations
9.
Tao, Huai, Xia Chen, Min Lu, et al.. (2015). Molecular determinant for the tarantula toxin Jingzhaotoxin-I slowing the fast inactivation of voltage-gated sodium channels. Toxicon. 111. 13–21. 14 indexed citations
10.
Lu, Min, David A. Lawrence, Scot A. Marsters, et al.. (2014). Opposing unfolded-protein-response signals converge on death receptor 5 to control apoptosis. Science. 345(6192). 98–101. 447 indexed citations breakdown →
11.
Lu, Min, Scot A. Marsters, Xiaofen Ye, et al.. (2014). E-Cadherin Couples Death Receptors to the Cytoskeleton to Regulate Apoptosis. Molecular Cell. 54(6). 987–998. 86 indexed citations
12.
Lu, Min. (2009). Software Design of Real-time Pre-processor of Stepped-Frequency Ground Penetrating Radar. Microprocessors. 1 indexed citations
13.
Lu, Min, Melanie Kardel, Michael D. O’Connor, & Connie J. Eaves. (2009). Enhanced generation of hematopoietic cells from human hepatocarcinoma cell−stimulated human embryonic and induced pluripotent stem cells. Experimental Hematology. 37(8). 924–936.e4. 27 indexed citations
14.
Gong, Xingguo, et al.. (2008). Mitochondrial ROS burst as an early sign in sarsasapogenin‐induced apoptosis in HepG2 cells. Cell Biology International. 32(3). 337–343. 32 indexed citations
15.
Liu, Na, Xiaoming Feng, Fengxia Ma, et al.. (2008). Identification of genes regulated by nanog which is involved in ES cells pluripotency and early differentiation. Journal of Cellular Biochemistry. 104(6). 2348–2362. 13 indexed citations
16.
Lu, Min. (2007). Epidemiology of Mycoplasma Pneumoniae Infection. Testowy IndexCopernicus. 5 indexed citations
17.
Lu, Min & Reigh-Yi Lin. (2007). TSH stimulates adipogenesis in mouse embryonic stem cells. Journal of Endocrinology. 196(1). 159–169. 44 indexed citations
18.
Lu, Min, et al.. (2007). Involvement of tyrosine kinase signaling in maintaining murine embryonic stem cell functionality. Experimental Hematology. 35(8). 1293–1302. 11 indexed citations
19.
Qin, Yong, Min Lu, & Xingguo Gong. (2007). Dihydrorhodamine 123 is superior to 2,7‐dichlorodihydrofluorescein diacetate and dihydrorhodamine 6G in detecting intracellular hydrogen peroxide in tumor cells. Cell Biology International. 32(2). 224–228. 96 indexed citations
20.
Weber, Tobias, Min Lu, Ladislav Anděra, et al.. (2002). Vitamin E succinate is a potent novel antineoplastic agent with high selectivity and cooperativity with tumor necrosis factor-related apoptosis-inducing ligand (Apo2 ligand) in vivo.. PubMed. 8(3). 863–9. 164 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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