Hanwoong Woo

630 total citations
11 papers, 487 citations indexed

About

Hanwoong Woo is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Hanwoong Woo has authored 11 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Hanwoong Woo's work include Autophagy in Disease and Therapy (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Hanwoong Woo is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Hanwoong Woo collaborates with scholars based in South Korea. Hanwoong Woo's co-authors include Seonghee Jung, HyunHee Park, Seong‐Woon Yu, Seong-Woon Yu, Eun Kyoung Kim, Chanchal Sharma, Sang Ryong Kim, Kyung‐Min Han, Hyang‐Sook Hoe and Hyunju Lee and has published in prestigious journals such as The FASEB Journal, Free Radical Biology and Medicine and Biosensors and Bioelectronics.

In The Last Decade

Hanwoong Woo

10 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanwoong Woo South Korea 9 176 127 111 98 67 11 487
Chunfeng Tan United States 12 183 1.0× 101 0.8× 60 0.5× 59 0.6× 54 0.8× 26 477
Chrysoula Dioli Portugal 9 160 0.9× 57 0.4× 36 0.3× 156 1.6× 61 0.9× 14 401
Xiaohang Che China 15 257 1.5× 189 1.5× 198 1.8× 79 0.8× 36 0.5× 23 677
Kazunari Sekiyama Japan 16 252 1.4× 193 1.5× 145 1.3× 233 2.4× 47 0.7× 31 810
Guangrui Luo China 9 175 1.0× 153 1.2× 74 0.7× 193 2.0× 29 0.4× 9 563
Colleen J. Lawrimore United States 8 130 0.7× 238 1.9× 30 0.3× 44 0.4× 111 1.7× 9 446
Xiangli Xue China 10 147 0.8× 51 0.4× 32 0.3× 147 1.5× 91 1.4× 19 426
Jing Xiong China 14 125 0.7× 54 0.4× 30 0.3× 61 0.6× 50 0.7× 21 486
Maryam Sardari Iran 14 214 1.2× 147 1.2× 40 0.4× 67 0.7× 27 0.4× 35 580
Dong-Xiao Duan China 9 226 1.3× 86 0.7× 24 0.2× 180 1.8× 60 0.9× 17 486

Countries citing papers authored by Hanwoong Woo

Since Specialization
Citations

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

Fields of papers citing papers by Hanwoong Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanwoong Woo

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

All Works

11 of 11 papers shown
1.
Woo, Hanwoong, et al.. (2022). Electroceutical approach ameliorates intracellular PMP22 aggregation and promotes pro-myelinating pathways in a CMT1A in vitro model. Biosensors and Bioelectronics. 224. 115055–115055. 1 indexed citations
2.
Sharma, Chanchal, Hanwoong Woo, & Sang Ryong Kim. (2022). Addressing Blood–Brain Barrier Impairment in Alzheimer’s Disease. Biomedicines. 10(4). 742–742. 42 indexed citations
3.
Lee, Hyunju, Hanwoong Woo, Ha-Eun Lee, et al.. (2020). The novel DYRK1A inhibitor KVN93 regulates cognitive function, amyloid-beta pathology, and neuroinflammation. Free Radical Biology and Medicine. 160. 575–595. 28 indexed citations
4.
Park, HyunHee, Kyung Min Chung, Hyun‐Kyu An, et al.. (2019). Parkin Promotes Mitophagic Cell Death in Adult Hippocampal Neural Stem Cells Following Insulin Withdrawal. Frontiers in Molecular Neuroscience. 12. 46–46. 28 indexed citations
5.
Jung, Seonghee, Hanwoong Woo, Hyeonjeong Jeong, et al.. (2019). Autophagic death of neural stem cells mediates chronic stress-induced decline of adult hippocampal neurogenesis and cognitive deficits. Autophagy. 16(3). 512–530. 126 indexed citations
6.
Lee, Hyunju, Hanwoong Woo, Kyung‐Min Han, et al.. (2019). Dasatinib regulates LPS-induced microglial and astrocytic neuroinflammatory responses by inhibiting AKT/STAT3 signaling. Journal of Neuroinflammation. 16(1). 190–190. 125 indexed citations
8.
Jung, Seonghee, Hanwoong Woo, Hyeonjeong Jeong, et al.. (2019). Autophagic death of neural stem cells mediates chronic stress-induced decline of adult hippocampal neurogenesis and cognitive deficits. IBRO Reports. 6. S487–S487. 5 indexed citations
9.
Woo, Hanwoong, et al.. (2018). Chronic restraint stress induces hippocampal memory deficits by impairing insulin signaling. Molecular Brain. 11(1). 37–37. 65 indexed citations
11.
Chung, Kyung Min, HyunHee Park, Seonghee Jung, et al.. (2015). Calpain Determines the Propensity of Adult Hippocampal Neural Stem Cells to Autophagic Cell Death Following Insulin Withdrawal. Stem Cells. 33(10). 3052–3064. 29 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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