Junghae Suh

2.6k total citations
60 papers, 2.1k citations indexed

About

Junghae Suh is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Junghae Suh has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 37 papers in Genetics and 10 papers in Ecology. Recurrent topics in Junghae Suh's work include Virus-based gene therapy research (36 papers), RNA Interference and Gene Delivery (31 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Junghae Suh is often cited by papers focused on Virus-based gene therapy research (36 papers), RNA Interference and Gene Delivery (31 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Junghae Suh collaborates with scholars based in United States, South Korea and Canada. Junghae Suh's co-authors include Justin Hanes, Denis Wirtz, Michelle Dawson, Jung Soo Suk, Samuel K. Lai, Eric Gomez, Caitlin M. Guenther, Christopher E. Dempsey, Michelle Ho and Chul Soo Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and ACS Nano.

In The Last Decade

Junghae Suh

59 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junghae Suh 1.3k 670 304 230 173 60 2.1k
Jennica L. Zaro 2.4k 1.8× 256 0.4× 304 1.0× 363 1.6× 138 0.8× 38 3.1k
Wolfgang Zauner 1.6k 1.2× 615 0.9× 191 0.6× 290 1.3× 147 0.8× 35 2.4k
Kamran Melikov 2.8k 2.1× 529 0.8× 248 0.8× 241 1.0× 232 1.3× 39 3.6k
Delphine Lechardeur 2.1k 1.6× 761 1.1× 291 1.0× 123 0.5× 118 0.7× 35 3.0k
Paulo J.C. Lin 2.4k 1.8× 320 0.5× 396 1.3× 332 1.4× 166 1.0× 46 3.4k
Xucheng Hou 2.9k 2.1× 468 0.7× 610 2.0× 486 2.1× 131 0.8× 37 4.1k
Joseph Rosenecker 2.6k 1.9× 919 1.4× 404 1.3× 366 1.6× 66 0.4× 52 3.4k
Claude Backendorf 1.9k 1.4× 554 0.8× 118 0.4× 118 0.5× 237 1.4× 76 2.9k
Mattias Hällbrink 4.2k 3.1× 647 1.0× 354 1.2× 457 2.0× 65 0.4× 59 4.7k
Ezharul Hoque Chowdhury 1.4k 1.1× 317 0.5× 541 1.8× 703 3.1× 92 0.5× 147 2.5k

Countries citing papers authored by Junghae Suh

Since Specialization
Citations

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

Fields of papers citing papers by Junghae Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghae Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Junghae Suh. A scholar is included among the top collaborators of Junghae Suh 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 Junghae Suh. Junghae Suh 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.
Nagy, M. Aurel, Stanley Gill, Bin Liu, et al.. (2024). Cis-regulatory elements driving motor neuron-selective viral payload expression within the mammalian spinal cord. Proceedings of the National Academy of Sciences. 121(49). e2418024121–e2418024121.
2.
Ho, Michelle, et al.. (2021). N-terminal serine/threonine motif has diverse and important effects on behavior of multiple AAV serotypes. Virology. 563. 107–115. 6 indexed citations
3.
Thadani, Nicole N., et al.. (2020). Site-Specific Post-translational Surface Modification of Adeno-Associated Virus Vectors Using Leucine Zippers. ACS Synthetic Biology. 9(3). 461–467. 9 indexed citations
4.
Guenther, Caitlin M., Antonette Bennett, Michelle Ho, et al.. (2019). Protease-Activatable Adeno-Associated Virus Vector for Gene Delivery to Damaged Heart Tissue. Molecular Therapy. 27(3). 611–622. 35 indexed citations
5.
Lee, Esther J., Caitlin M. Guenther, & Junghae Suh. (2018). Adeno-associated virus (AAV) vectors: Rational design strategies for capsid engineering. Current Opinion in Biomedical Engineering. 7. 58–63. 63 indexed citations
6.
Popp, Lauren, Eric Gomez, Whitney Orji, et al.. (2017). TFEB-mediated activation of the lysosome-autophagy system affects the transduction efficiency of adeno-associated virus 2. Virology. 510. 1–8. 8 indexed citations
7.
Olson, Evan J., Sebastian M. Castillo-Hair, Lucas A. Hartsough, et al.. (2016). An open-hardware platform for optogenetics and photobiology. Scientific Reports. 6(1). 35363–35363. 96 indexed citations
8.
Thadani, Nicole N., et al.. (2016). Biocomputing nanoplatforms as therapeutics and diagnostics. Journal of Controlled Release. 240. 387–393. 36 indexed citations
9.
Ho, Michelle, et al.. (2015). Effective Gene Delivery to Valvular Interstitial Cells Using Adeno-Associated Virus Serotypes 2 and 3. Tissue Engineering Part C Methods. 21(8). 808–815. 4 indexed citations
10.
Rhudy, Jessica, Kenji Yokoi, Jianhua Gu, et al.. (2014). Enhanced gene delivery in porcine vasculature tissue following incorporation of adeno-associated virus nanoparticles into porous silicon microparticles. Journal of Controlled Release. 194. 113–121. 13 indexed citations
11.
Mackeyev, Yuri, et al.. (2013). Evidence for nuclear internalisation of biocompatible [60]fullerene 1). Rice University's digital scholarship archive (Rice University). 5(1). 51–55. 5 indexed citations
12.
Dempsey, Christopher E., et al.. (2013). Real-Time Particle Tracking for Studying Intracellular Trafficking of Pharmaceutical Nanocarriers. Methods in molecular biology. 991. 211–223. 13 indexed citations
13.
Wei, Fang, et al.. (2012). Conjugation of paclitaxel on adeno-associated virus (AAV) nanoparticles for co-delivery of genes and drugs. European Journal of Pharmaceutical Sciences. 46(3). 167–172. 17 indexed citations
14.
Gomez, Eric, et al.. (2012). The identity of the cell adhesive protein substrate affects the efficiency of adeno-associated virus reverse transduction. Acta Biomaterialia. 8(11). 4073–4079. 5 indexed citations
15.
Segall-Shapiro, Thomas H., et al.. (2010). Mesophilic and Hyperthermophilic Adenylate Kinases Differ in Their Tolerance to Random Fragmentation. Journal of Molecular Biology. 406(1). 135–148. 25 indexed citations
16.
Suk, Jung Soo, et al.. (2006). Gene delivery to differentiated neurotypic cells with RGD and HIV Tat peptide functionalized polymeric nanoparticles. Biomaterials. 27(29). 5143–5150. 125 indexed citations
17.
Suh, Junghae & Stephen J. Knabel. (2001). Comparison of Different Enrichment Broths and Background Flora for Detection of Heat-Injured Listeria monocytogenes in Whole Milk. Journal of Food Protection. 64(1). 30–36. 17 indexed citations
18.
Suh, Junghae & Chul Soo Shin. (2000). Physiological analysis on novel coculture ofMonascussp. J101 withSaccharomyces cerevisiae. FEMS Microbiology Letters. 190(2). 241–245. 21 indexed citations
19.
Suh, Junghae & Stephen J. Knabel. (2000). Comparison of Different Reducing Agents for Enhanced Detection of Heat-Injured Listeria monocytogenes. Journal of Food Protection. 63(8). 1058–1063. 5 indexed citations
20.
Suh, Junghae, et al.. (1997). Electron Microscopic Observations of Protoplast and Fusion Cell of Viola Species. JoLS Journal of Life Sciences. 7(4). 282–288. 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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