Kang Lu

1.6k total citations
62 papers, 1.2k citations indexed

About

Kang Lu is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Materials Chemistry. According to data from OpenAlex, Kang Lu has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Orthopedics and Sports Medicine and 11 papers in Materials Chemistry. Recurrent topics in Kang Lu's work include Tendon Structure and Treatment (11 papers), Electrochemical sensors and biosensors (8 papers) and Advanced Nanomaterials in Catalysis (8 papers). Kang Lu is often cited by papers focused on Tendon Structure and Treatment (11 papers), Electrochemical sensors and biosensors (8 papers) and Advanced Nanomaterials in Catalysis (8 papers). Kang Lu collaborates with scholars based in China, United States and Japan. Kang Lu's co-authors include Yue Zhou, Changqing Li, Junlong Wu, Kanglai Tang, Anthony J. Croatt, Zvonimir S. Katušić, Joseph P. Grande, Karl A. Nath, Xiaoqing Ma and Wenxi Zhao and has published in prestigious journals such as ACS Applied Materials & Interfaces, The Journal of Physical Chemistry C and Journal of the American Society of Nephrology.

In The Last Decade

Kang Lu

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Lu China 19 341 217 216 202 174 62 1.2k
Qi Quan China 22 484 1.4× 144 0.7× 111 0.5× 285 1.4× 102 0.6× 94 1.7k
Miya Ishihara Japan 25 283 0.8× 67 0.3× 64 0.3× 548 2.7× 99 0.6× 137 2.2k
Jia Lü China 19 488 1.4× 141 0.6× 25 0.1× 179 0.9× 95 0.5× 69 1.5k
Po‐Ting Wu Taiwan 19 113 0.3× 134 0.6× 212 1.0× 495 2.5× 58 0.3× 117 1.3k
Fengming Wang China 21 293 0.9× 209 1.0× 28 0.1× 100 0.5× 95 0.5× 90 1.2k
Christopher L. Grigsby United States 20 707 2.1× 109 0.5× 88 0.4× 103 0.5× 82 0.5× 27 1.8k
Supriya Sridhar United States 22 381 1.1× 112 0.5× 52 0.2× 110 0.5× 180 1.0× 40 1.2k
Nicholas P. Rhodes United Kingdom 22 308 0.9× 139 0.6× 45 0.2× 420 2.1× 42 0.2× 60 1.7k
Shinya Horiuchi Japan 17 251 0.7× 75 0.3× 51 0.2× 117 0.6× 40 0.2× 40 1.1k
Xingquan Xu China 21 437 1.3× 169 0.8× 109 0.5× 391 1.9× 39 0.2× 64 2.0k

Countries citing papers authored by Kang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Lu. A scholar is included among the top collaborators of Kang 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 Kang Lu. Kang 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.
Chen, Xiaoxue, Xinyuan Song, Jiudi Zhong, et al.. (2025). Application of Artificial Intelligence Software to Identify Emotions of Lung Cancer Patients in Preoperative Health Education: A Cross‐Sectional Study. Journal of Nursing Scholarship. 57(3). 546–556.
2.
Lu, Kang, et al.. (2025). J-PIKAN: A physics-informed KAN network based on Jacobi orthogonal polynomials for solving fluid dynamics. Communications in Nonlinear Science and Numerical Simulation. 152. 109414–109414.
3.
4.
Lu, Kang, et al.. (2024). Advancements in boron difluoride formazanate dyes for biological imaging. Current Opinion in Chemical Biology. 81. 102473–102473. 9 indexed citations
5.
Guo, Genmiao, et al.. (2023). Effects of in-nozzle liquid fuel vortex cavitation on characteristics of flow and spray: Numerical research. International Communications in Heat and Mass Transfer. 148. 107040–107040. 12 indexed citations
6.
7.
Lu, Kang, Mei Zhou, Liyuan Wang, et al.. (2023). N-Acetyl-L-cysteine facilitates tendon repair and promotes the tenogenic differentiation of tendon stem/progenitor cells by enhancing the integrin α5/β1/PI3K/AKT signaling. BMC Molecular and Cell Biology. 24(1). 1–1. 8 indexed citations
8.
Liu, Fei, et al.. (2022). Effect of Pore Size of Porous-Structured Titanium Implants on Tendon Ingrowth. Applied Bionics and Biomechanics. 2022. 1–11. 10 indexed citations
9.
Wang, Bin, Yi Wang, Kang Lu, et al.. (2022). Fabrication of alginate-based multi-crosslinked biomembranes for direct methanol fuel cell application. Carbohydrate Polymers. 300. 120261–120261. 15 indexed citations
10.
Lu, Kang, et al.. (2022). P2Y1R and P2Y2R: potential molecular triggers in muscle regeneration. Purinergic Signalling. 19(1). 305–313. 7 indexed citations
11.
Lu, Kang, et al.. (2022). Microglia in motor neuron disease: Signaling evidence from last 10 years. Developmental Neurobiology. 82(7-8). 625–638. 17 indexed citations
12.
Tang, Hui, et al.. (2021). Investigation on Signal Acquisition and Data Processing of A Fourier Transform Microwave Spectrometer. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION). 46(5). 723–728.
13.
Wang, Jingjing, Hong Tang, Xuting Bian, et al.. (2021). Adipogenic differentiation was inhibited by downregulation of PPARγ signaling pathway in aging tendon stem/progenitor cells. Journal of Orthopaedic Surgery and Research. 16(1). 614–614. 12 indexed citations
14.
Lu, Kang, Hong Tang, Mei Zhou, et al.. (2020). Bionic Silk Fibroin Film Promotes Tenogenic Differentiation of Tendon Stem/Progenitor Cells by Activating Focal Adhesion Kinase. Stem Cells International. 2020. 1–10. 9 indexed citations
15.
Lu, Kang, Hong Tang, Mei Zhou, et al.. (2020). Bionic Silk Fibroin Film Induces Morphological Changes and Differentiation of Tendon Stem/Progenitor Cells. Applied Bionics and Biomechanics. 2020. 1–10. 12 indexed citations
16.
Liu, Jiaming, Chengyao Jiang, Kang Lu, et al.. (2020). Over-Expression of a 14-3-3 Protein From Foxtail Millet Improves Plant Tolerance to Salinity Stress in Arabidopsis thaliana. Frontiers in Plant Science. 11. 449–449. 21 indexed citations
17.
Wang, Yunjiao, Gang He, Hong Tang, et al.. (2019). Exosomes from tendon stem cells promote injury tendon healing through balancing synthesis and degradation of the tendon extracellular matrix. Journal of Cellular and Molecular Medicine. 23(8). 5475–5485. 116 indexed citations
18.
Zhang, Guozhong, et al.. (2017). Simulation and analysis of the stubble pushing rate by chassis of the completely tracked harvester for the ratoon rice.. Anhui Nongye Daxue xuebao. 44(4). 738–743. 4 indexed citations
19.
Fu, Haiyan, Julianne DiRosario, Kang Lu, Joseph Muenzer, & Douglas M. McCarty. (2010). Restoration of central nervous system α‐N‐acetylglucosaminidase activity and therapeutic benefits in mucopolysaccharidosis IIIB mice by a single intracisternal recombinant adeno‐associated viral type 2 vector delivery. The Journal of Gene Medicine. 12(7). 624–633. 34 indexed citations
20.
Juncos, Julio P., Joseph P. Grande, Kang Lu, et al.. (2010). MCP-1 Contributes to Arteriovenous Fistula Failure. Journal of the American Society of Nephrology. 22(1). 43–48. 82 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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