Gen He

4.7k total citations · 1 hit paper
56 papers, 3.9k citations indexed

About

Gen He is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Gen He has authored 56 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 16 papers in Molecular Biology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Gen He's work include Microfluidic and Bio-sensing Technologies (10 papers), Neuroscience and Neural Engineering (8 papers) and Bone Tissue Engineering Materials (8 papers). Gen He is often cited by papers focused on Microfluidic and Bio-sensing Technologies (10 papers), Neuroscience and Neural Engineering (8 papers) and Bone Tissue Engineering Materials (8 papers). Gen He collaborates with scholars based in China, United States and Macao. Gen He's co-authors include Anne George, Arthur Veis, Xuefeng Guo, Xi Xie, Tian Hang, Chengduan Yang, Hui‐Jiuan Chen, Hongliang Chen, Weining Zhang and Mingliang Li and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Gen He

54 papers receiving 3.8k citations

Hit Papers

Interface Engineering in Organic Field-Effect Transistors... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gen He China 33 1.6k 1.2k 840 652 520 56 3.9k
Álvaro Mata United Kingdom 39 2.8k 1.7× 1.4k 1.1× 392 0.5× 515 0.8× 3.0k 5.7× 105 6.1k
Roberto Raiteri Italy 32 1.3k 0.8× 822 0.7× 892 1.1× 421 0.6× 322 0.6× 82 4.2k
Megan S. Lord Australia 37 1.6k 1.0× 1.1k 0.9× 236 0.3× 279 0.4× 1.2k 2.3× 114 4.7k
Aleš Iglič Slovenia 39 2.0k 1.2× 2.1k 1.7× 424 0.5× 77 0.1× 472 0.9× 245 5.5k
Jin Nam United States 34 1.7k 1.0× 887 0.7× 305 0.4× 653 1.0× 1.2k 2.2× 93 3.7k
Wolfgang H. Goldmann Germany 42 1.6k 1.0× 1.2k 1.0× 250 0.3× 64 0.1× 593 1.1× 138 5.0k
Joan K. Heath Australia 44 656 0.4× 3.0k 2.5× 164 0.2× 376 0.6× 732 1.4× 109 6.6k
Michael P. Schwartz United States 34 3.1k 1.9× 1.7k 1.4× 900 1.1× 161 0.2× 1.2k 2.3× 59 6.0k
Philippe Lavall�e France 44 2.3k 1.4× 940 0.8× 793 0.9× 81 0.1× 2.1k 4.1× 140 7.1k
Jiying Zhang China 39 1.3k 0.8× 939 0.8× 1.0k 1.2× 988 1.5× 813 1.6× 200 5.8k

Countries citing papers authored by Gen He

Since Specialization
Citations

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

Fields of papers citing papers by Gen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen He

This figure shows the co-authorship network connecting the top 25 collaborators of Gen He. A scholar is included among the top collaborators of Gen He 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 Gen He. Gen He 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
2.
Zhang, Aihua, Jiaru Fang, Ji Wang, et al.. (2022). Interrogation on the Cellular Nano-Interface and Biosafety of Repeated Nano-Electroporation by Nanostraw System. Biosensors. 12(7). 522–522. 9 indexed citations
3.
Chen, Hongliang, Vitor Brasiliense, Jingshan Mo, et al.. (2021). Single-Molecule Charge Transport through Positively Charged Electrostatic Anchors. Journal of the American Chemical Society. 143(7). 2886–2895. 63 indexed citations
4.
Chiappini, Ciro, Yaping Chen, Stella Aslanoglou, et al.. (2021). Tutorial: using nanoneedles for intracellular delivery. Nature Protocols. 16(10). 4539–4563. 89 indexed citations
5.
Yan, Yan‐yan, Hong Ji, Hui Wang, et al.. (2021). Microfluidics applications for high-throughput single cell sequencing. Journal of Nanobiotechnology. 19(1). 312–312. 80 indexed citations
6.
Yang, Chengduan, Qianni Wu, Gen He, et al.. (2021). Liquid-like polymer-based self-cleaning coating for effective prevention of liquid foods contaminations. Journal of Colloid and Interface Science. 589. 327–335. 38 indexed citations
7.
Zhou, Lingfei, Aihua Zhang, Jingshan Mo, et al.. (2020). Degradable porous nanoflower substrate-embedded microfluidic device for capture, release and in situ manipulation of cancer cells. Applied Materials Today. 19. 100617–100617. 12 indexed citations
8.
Hu, Ning, Dongxin Xu, Jiaru Fang, et al.. (2020). Intracellular recording of cardiomyocyte action potentials by nanobranched microelectrode array. Biosensors and Bioelectronics. 169. 112588–112588. 40 indexed citations
9.
He, Gen, Ning Hu, Alexander M. Xu, et al.. (2020). Nanoneedle Platforms: The Many Ways to Pierce the Cell Membrane. Advanced Functional Materials. 30(21). 74 indexed citations
10.
Wen, Rui, Aihua Zhang, Di Liu, et al.. (2019). Intracellular Delivery and Sensing System Based on Electroplated Conductive Nanostraw Arrays. ACS Applied Materials & Interfaces. 11(47). 43936–43948. 61 indexed citations
11.
He, Gen, Hui‐Jiuan Chen, Di Liu, et al.. (2018). Fabrication of Various Structures of Nanostraw Arrays and Their Applications in Gene Delivery. Advanced Materials Interfaces. 5(10). 33 indexed citations
12.
Hang, Tian, Chenglin Liu, Gen He, et al.. (2018). Self‐Cleaning Ultraviolet Photodetectors Based on Tree Crown‐Like Microtube Structure. Advanced Materials Interfaces. 6(2). 8 indexed citations
13.
He, Gen, Jie Li, Chuanmin Qi, & Xuefeng Guo. (2017). Single Nucleotide Polymorphism Genotyping in Single‐Molecule Electronic Circuits. Advanced Science. 4(11). 1700158–1700158. 21 indexed citations
14.
Wang, Jindong, Fangxia Shen, Zhenxing Wang, et al.. (2014). Point Decoration of Silicon Nanowires: An Approach Toward Single‐Molecule Electrical Detection. Angewandte Chemie International Edition. 53(20). 5038–5043. 45 indexed citations
15.
He, Gen, Wenjie Luo, Peng Li, et al.. (2010). Gamma-secretase activating protein is a therapeutic target for Alzheimer’s disease. Nature. 467(7311). 95–98. 263 indexed citations
16.
Flajolet, Marc, et al.. (2007). Regulation of Alzheimer's disease amyloid-β formation by casein kinase I. Proceedings of the National Academy of Sciences. 104(10). 4159–4164. 157 indexed citations
17.
Hao, Jianjun, Gen He, Karthikeyan Narayanan, et al.. (2005). Identification of differentially expressed cDNA transcripts from a rat odontoblast cell line. Bone. 37(4). 578–588. 18 indexed citations
18.
He, Gen, Amsaveni Ramachandran, Sarah J. George, et al.. (2005). Phosphorylation of Phosphophoryn Is Crucial for Its Function as a Mediator of Biomineralization. Journal of Biological Chemistry. 280(39). 33109–33114. 139 indexed citations
19.
Narayanan, Karthikeyan, Amsaveni Ramachandran, Jianjun Hao, et al.. (2003). Dual Functional Roles of Dentin Matrix Protein 1. Journal of Biological Chemistry. 278(19). 17500–17508. 202 indexed citations
20.
He, Gen, et al.. (2003). Nucleation of apatite crystals in vitro by self-assembled dentin matrix protein 1. Nature Materials. 2(8). 552–558. 451 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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