Jisen Dai

1.0k total citations
29 papers, 800 citations indexed

About

Jisen Dai is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Jisen Dai has authored 29 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Biomedical Engineering. Recurrent topics in Jisen Dai's work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Bone Tissue Engineering Materials (4 papers). Jisen Dai is often cited by papers focused on Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Bone Tissue Engineering Materials (4 papers). Jisen Dai collaborates with scholars based in United States, Japan and France. Jisen Dai's co-authors include Seiichi Yamano, Amr M. Moursi, Xi Huang, Krystyna Frenkel, Xi Huang, Jin Kim Montclare, Jinlong Jian, Tadahiro Takayama, Sachin Khapli and Carlo Yuvienco and has published in prestigious journals such as Journal of Applied Physics, Biomaterials and Pain.

In The Last Decade

Jisen Dai

27 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jisen Dai United States 16 364 146 112 105 89 29 800
Xiaohong Zhang China 19 622 1.7× 111 0.8× 62 0.6× 43 0.4× 50 0.6× 66 1.6k
Hiroyuki Ohkawa Japan 18 384 1.1× 139 1.0× 100 0.9× 75 0.7× 42 0.5× 46 1.1k
Matthew Gibson United States 14 219 0.6× 314 2.2× 87 0.8× 35 0.3× 46 0.5× 19 1.1k
Masanori Sasaki Japan 21 211 0.6× 122 0.8× 55 0.5× 54 0.5× 21 0.2× 59 1.0k
Karel Holada Czechia 20 678 1.9× 173 1.2× 39 0.3× 192 1.8× 92 1.0× 65 1.3k
Haiyan Zhang China 19 424 1.2× 92 0.6× 56 0.5× 58 0.6× 15 0.2× 91 1.1k
Jeoung Soo Lee United States 20 327 0.9× 169 1.2× 156 1.4× 24 0.2× 23 0.3× 42 976
Maria Giovanna Sabbieti Italy 24 573 1.6× 142 1.0× 164 1.5× 36 0.3× 11 0.1× 75 1.4k
Asima Pattanaik United States 11 214 0.6× 83 0.6× 191 1.7× 38 0.4× 113 1.3× 12 647

Countries citing papers authored by Jisen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jisen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jisen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jisen Dai. A scholar is included among the top collaborators of Jisen Dai 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 Jisen Dai. Jisen Dai 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.
Imamura, Kentaro, Keita Tachi, Tadahiro Takayama, et al.. (2018). Released fibroblast growth factor18 from a collagen membrane induces osteoblastic activity involved with downregulation of miR-133a and miR-135a. Journal of Biomaterials Applications. 32(10). 1382–1391. 11 indexed citations
2.
3.
Dai, Jisen, et al.. (2014). Gene delivery from supercharged coiled-coil protein and cationic lipid hybrid complex. Biomaterials. 35(25). 7188–7193. 20 indexed citations
4.
Yamano, Seiichi, Jisen Dai, Tadahiro Takayama, et al.. (2014). The effect of a bioactive collagen membrane releasing PDGF or GDF-5 on bone regeneration. Biomaterials. 35(8). 2446–2453. 53 indexed citations
5.
Yamano, Seiichi, et al.. (2014). Efficient in vivo gene delivery using modified Tat peptide with cationic lipids. Biotechnology Letters. 36(7). 1447–1452. 7 indexed citations
6.
Dai, Jisen, et al.. (2013). Characterization of β-TCP, β-TCMP and BCMP Produced by Hydrolysis. 3(s1). 2 indexed citations
7.
Yamano, Seiichi, Jisen Dai, Tadahiro Takayama, et al.. (2013). Long-term efficient gene delivery using polyethylenimine with modified Tat peptide. Biomaterials. 35(5). 1705–1715. 86 indexed citations
8.
Pelle, Edward, Jinlong Jian, Qi Zhang, et al.. (2013). Menopause increases the iron storage protein ferritin in skin.. PubMed. 64(3). 175–9. 9 indexed citations
9.
Yamano, Seiichi, Jisen Dai, Carlo Yuvienco, et al.. (2011). Modified Tat peptide with cationic lipids enhances gene transfection efficiency via temperature-dependent and caveolae-mediated endocytosis. Journal of Controlled Release. 152(2). 278–285. 53 indexed citations
10.
Yamano, Seiichi, Jisen Dai, & Amr M. Moursi. (2010). Comparison of Transfection Efficiency of Nonviral Gene Transfer Reagents. Molecular Biotechnology. 46(3). 287–300. 121 indexed citations
11.
Ren, Wei, et al.. (2010). Phase change memory alloys: GST cell array characterization using picosecond ultrasonics. Microelectronic Engineering. 88(5). 822–826. 4 indexed citations
12.
Jian, Jinlong, Qing Yang, Jisen Dai, et al.. (2010). Effects of iron deficiency and iron overload on angiogenesis and oxidative stress—a potential dual role for iron in breast cancer. Free Radical Biology and Medicine. 50(7). 841–847. 59 indexed citations
13.
Eckard, Jonathan, Jisen Dai, Jing Wu, et al.. (2010). Effects of cellular iron deficiency on the formation of vascular endothelial growth factor and angiogenesis.. Cancer Cell International. 10(1). 28–28. 40 indexed citations
14.
Huang, Xi, Jisen Dai, Chuanshu Huang, et al.. (2007). Deferoxamine synergistically enhances iron-mediated AP-1 activation: A showcase of the interplay between extracellular-signal-regulated kinase and tyrosine phosphatase. Free Radical Research. 41(10). 1135–1142. 22 indexed citations
15.
Dai, Jisen, Jinlong Jian, Maarten C. Bosland, et al.. (2007). Roles of hormone replacement therapy and iron in proliferation of breast epithelial cells with different estrogen and progesterone receptor status. The Breast. 17(2). 172–179. 36 indexed citations
16.
Zeleniuch‐Jacquotte, Anne, Qi Zhang, Jisen Dai, et al.. (2006). Reliability of Serum Assays of Iron Status in Postmenopausal Women. Annals of Epidemiology. 17(5). 354–358. 17 indexed citations
17.
Dai, Jisen, Chuanshu Huang, Jing Wu, et al.. (2004). Iron-induced interleukin-6 gene expression: possible mediation through the extracellular signal-regulated kinase and p38 mitogen-activated protein kinase pathways. Toxicology. 203(1-3). 199–209. 30 indexed citations
18.
Huang, Xi, et al.. (2002). Ferrous ion autoxidation and its chelation in iron-loaded human liver HepG2 cells. Free Radical Biology and Medicine. 32(1). 84–92. 67 indexed citations
19.
Zhang, Qi, et al.. (2002). Roles of Bioavailable Iron and Calcium in Coal Dust-induced Oxidative Stress: Possible Implications in Coal Workers' Lung Disease. Free Radical Research. 36(3). 285–294. 35 indexed citations
20.
Helz, George R., et al.. (1987). Processes controlling the composition of acid sulfate solutions evolved from coal. Applied Geochemistry. 2(4). 427–436. 3 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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