Joungha Won

868 total citations
11 papers, 594 citations indexed

About

Joungha Won is a scholar working on Cellular and Molecular Neuroscience, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Joungha Won has authored 11 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Infectious Diseases and 4 papers in Biomedical Engineering. Recurrent topics in Joungha Won's work include Neuroscience and Neuropharmacology Research (4 papers), SARS-CoV-2 detection and testing (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Joungha Won is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), SARS-CoV-2 detection and testing (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Joungha Won collaborates with scholars based in South Korea, United Kingdom and Türkiye. Joungha Won's co-authors include C. Justin Lee, Byung Yoon Choi, Myungsun Park, Tai Young Kim, Mingu Gordon Park, Heeyoung An, V. Narry Kim, Hyeshik Chang, Dong-Wan Kim and Eun Mi Hwang and has published in prestigious journals such as Nature Communications, Neuron and Experimental & Molecular Medicine.

In The Last Decade

Joungha Won

11 papers receiving 586 citations

Peers

Joungha Won

MB

ID

CMN

BE

PS

Yuqing Gong United States

Daniel T. Baptista‐Hon United Kingdom

Kyun‐Do Kim South Korea

Aaron J. Carman United States

İbrahim Barış Türkiye

Sandrine Camus France

Machiko Iwamoto Japan

Yingzhu Chen China

T. Hu China

Yajing Hou China

Yuqing Gong United States

Joungha Won

229 ×1.0

MB

102 ×0.4

ID

190 ×1.1

CMN

42 ×0.3

BE

17 ×0.3

PS

Citations per year, relative to Joungha Won Joungha Won (= 1×) peers Yuqing Gong

Countries citing papers authored by Joungha Won

Since Specialization

Citations

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

Fields of papers citing papers by Joungha Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joungha Won

This figure shows the co-authorship network connecting the top 25 collaborators of Joungha Won. A scholar is included among the top collaborators of Joungha Won 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 Joungha Won. Joungha Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Won, Joungha, Yuriy Pankratov, Sunpil Kim, et al.. (2021). Opto-vTrap, an optogenetic trap for reversible inhibition of vesicular release, synaptic transmission, and behavior. Neuron. 110(3). 423–435.e4. 12 indexed citations

2.

Kim, Tai Young, Sangeun Jeon, Youngho Jang, et al.. (2021). Platycodin D, a natural component of Platycodon grandiflorum, prevents both lysosome- and TMPRSS2-driven SARS-CoV-2 infection by hindering membrane fusion. Experimental & Molecular Medicine. 53(5). 956–972. 62 indexed citations

3.

Won, Joungha, Hasan Hüseyin Kazan, Jea Kwon, et al.. (2021). Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment. Experimental Neurobiology. 30(1). 13–31. 2 indexed citations

4.

Won, Joungha, Myungsun Park, Tai Young Kim, et al.. (2020). Development of a Laboratory-safe and Low-cost Detection Protocol for SARS-CoV-2 of the Coronavirus Disease 2019 (COVID-19). Experimental Neurobiology. 29(5). 402–402. 14 indexed citations

5.

Park, Myungsun, Joungha Won, Byung Yoon Choi, & C. Justin Lee. (2020). Optimization of primer sets and detection protocols for SARS-CoV-2 of coronavirus disease 2019 (COVID-19) using PCR and real-time PCR. Experimental & Molecular Medicine. 52(6). 963–977. 119 indexed citations

6.

Won, Joungha, Myungsun Park, Tai Young Kim, et al.. (2020). Development of a Laboratory-safe and Low-cost Detection Protocol for SARS-CoV-2 of the Coronavirus Disease 2019 (COVID-19). Experimental Neurobiology. 29(2). 107–119. 140 indexed citations

7.

Kwon, Jea, Joungha Won, Heeyoung An, et al.. (2019). Tweety-homolog (Ttyh) Family Encodes the Pore-forming Subunits of the Swelling-dependent Volume-regulated Anion Channel (VRAC_swell) in the Brain. Experimental Neurobiology. 28(2). 183–215. 36 indexed citations

8.

Woo, Junsung, Wuhyun Koh, Joungha Won, et al.. (2019). Pharmacological Dissection of Intrinsic Optical Signal Reveals a Functional Coupling between Synaptic Activity and Astrocytic Volume Transient. Experimental Neurobiology. 28(1). 30–42. 7 indexed citations

9.

Woo, Dong Ho, Jin Young Bae, Min‐Ho Nam, et al.. (2018). Activation of Astrocytic μ-opioid Receptor Elicits Fast Glutamate Release Through TREK-1-Containing K2P Channel in Hippocampal Astrocytes. Frontiers in Cellular Neuroscience. 12. 319–319. 41 indexed citations

10.

Kwon, Jea, et al.. (2017). Orai1 and Orai3 in Combination with Stim1 Mediate the Majority of Store-operated Calcium Entry in Astrocytes. Experimental Neurobiology. 26(1). 42–54. 47 indexed citations

11.

Woo, Doyeon, Hyunjin Jung, Sangkyu Lee, et al.. (2014). Light-inducible receptor tyrosine kinases that regulate neurotrophin signalling. Nature Communications. 5(1). 114 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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