Chulman Jo

1.7k total citations
43 papers, 1.4k citations indexed

About

Chulman Jo is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Chulman Jo has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Physiology and 9 papers in Epidemiology. Recurrent topics in Chulman Jo's work include Alzheimer's disease research and treatments (12 papers), Autophagy in Disease and Therapy (9 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Chulman Jo is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Autophagy in Disease and Therapy (9 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Chulman Jo collaborates with scholars based in South Korea, United States and Israel. Chulman Jo's co-authors include Young Ho Koh, Gail V.W. Johnson, Youngnam N. Jin, Soner Gundemir, Sangmee Ahn Jo, Sun‐Jung Cho, Irfan Rahman, Sang‐Moon Yun, Sunhyo Kim and Ki Ju Choi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Chulman Jo

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chulman Jo South Korea 22 752 390 363 187 164 43 1.4k
Yahyah Aman Norway 14 567 0.8× 532 1.4× 502 1.4× 184 1.0× 295 1.8× 35 1.6k
Rodrigo Portes Ureshino Brazil 22 401 0.5× 250 0.6× 323 0.9× 197 1.1× 102 0.6× 44 1.3k
Hessam H. Kashani Canada 11 525 0.7× 238 0.6× 453 1.2× 163 0.9× 90 0.5× 21 1.3k
Hae Sook Noh South Korea 22 612 0.8× 422 1.1× 189 0.5× 75 0.4× 173 1.1× 40 1.4k
Byeong Tak Jeon South Korea 22 527 0.7× 453 1.2× 265 0.7× 58 0.3× 144 0.9× 37 1.4k
Xiaohui Wang China 20 902 1.2× 336 0.9× 779 2.1× 98 0.5× 103 0.6× 53 1.8k
Lorena Perrone Italy 22 742 1.0× 455 1.2× 105 0.3× 145 0.8× 146 0.9× 41 1.5k
Tatiana R. Rosenstock Brazil 23 937 1.2× 366 0.9× 233 0.6× 230 1.2× 96 0.6× 46 1.6k
Annagrazia Adornetto Italy 27 1.0k 1.4× 237 0.6× 264 0.7× 134 0.7× 261 1.6× 44 1.9k
Amit U. Joshi United States 18 1.1k 1.5× 419 1.1× 323 0.9× 248 1.3× 388 2.4× 19 2.0k

Countries citing papers authored by Chulman Jo

Since Specialization
Citations

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

Fields of papers citing papers by Chulman Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chulman Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Chulman Jo. A scholar is included among the top collaborators of Chulman Jo 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 Chulman Jo. Chulman Jo 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.
Yoon, Gwangho, et al.. (2024). Palmitoyl-L-carnitine induces tau phosphorylation and mitochondrial dysfunction in neuronal cells. PLoS ONE. 19(11). e0313507–e0313507. 3 indexed citations
2.
Park, Jung‐Hyun, et al.. (2024). Rottlerin Enhances the Autophagic Degradation of Phosphorylated Tau in Neuronal Cells. Molecular Neurobiology. 61(11). 9633–9645. 3 indexed citations
3.
Lee, Junehawk, Chanseok Jeong, Jun Sung Park, et al.. (2022). Identification of a pleiotropic effect of ADIPOQ on cardiac dysfunction and Alzheimer’s disease based on genetic evidence and health care records. Translational Psychiatry. 12(1). 389–389. 3 indexed citations
4.
Kim, Seong‐Ik, et al.. (2021). ApoE4 attenuates autophagy via FoxO3a repression in the brain. Scientific Reports. 11(1). 17604–17604. 36 indexed citations
5.
Koh, Young Ho, et al.. (2021). A splicing variant of TFEB negatively regulates the TFEB-autophagy pathway. Scientific Reports. 11(1). 21119–21119. 8 indexed citations
6.
Park, Jung Hyun, Ji‐Young Choi, Hye‐Kyung Lee, Chulman Jo, & Young Ho Koh. (2020). Notch1-mediated inflammation is associated with endothelial dysfunction in human brain microvascular endothelial cells upon particulate matter exposure. Archives of Toxicology. 95(2). 529–540. 12 indexed citations
7.
Kim, Sunhyo, et al.. (2019). TFEB activates Nrf2 by repressing its E3 ubiquitin ligase DCAF11 and promoting phosphorylation of p62. Scientific Reports. 9(1). 14354–14354. 35 indexed citations
8.
Yun, Sang-Moon, et al.. (2019). Altered expression of Notch1 in Alzheimer's disease. PLoS ONE. 14(11). e0224941–e0224941. 33 indexed citations
9.
10.
Choi, Ji-Young, Chulman Jo, & Sangmee Ahn Jo. (2016). Construction of a new T-vector: Nickase (Nt.BspQI)-generated T-vector bearing a reddish-orange indicator gene. Tissue Engineering and Regenerative Medicine. 13(1). 66–69. 1 indexed citations
11.
Kim, Sunhyo, Ki Ju Choi, Sun‐Jung Cho, et al.. (2016). Fisetin stimulates autophagic degradation of phosphorylated tau via the activation of TFEB and Nrf2 transcription factors. Scientific Reports. 6(1). 24933–24933. 98 indexed citations
12.
Kim, Sunhyo, Daehoon Lee, Sun‐Jung Cho, et al.. (2014). NDP52 associates with phosphorylated tau in brains of an Alzheimer disease mouse model. Biochemical and Biophysical Research Communications. 454(1). 196–201. 37 indexed citations
13.
Cho, Sun‐Jung, Sang‐Moon Yun, Chulman Jo, et al.. (2014). SUMO1 promotes Aβ production via the modulation of autophagy. Autophagy. 11(1). 100–112. 70 indexed citations
14.
Jin, Youngnam N., Yanxun V. Yu, Soner Gundemir, et al.. (2013). Impaired Mitochondrial Dynamics and Nrf2 Signaling Contribute to Compromised Responses to Oxidative Stress in Striatal Cells Expressing Full-Length Mutant Huntingtin. PLoS ONE. 8(3). e57932–e57932. 87 indexed citations
15.
Yun, Sang‐Moon, et al.. (2012). γ-Secretase-Dependent Cleavage of E-Cadherin by Staurosporine in Breast Cancer Cells. Cell Communication & Adhesion. 19(1). 11–16. 14 indexed citations
16.
Jin, Youngnam N., Woong Y. Hwang, Chulman Jo, & Gail V.W. Johnson. (2012). Metabolic State Determines Sensitivity to Cellular Stress in Huntington Disease: Normalization by Activation of PPARγ. PLoS ONE. 7(1). e30406–e30406. 31 indexed citations
17.
Jo, Chulman, et al.. (2010). Caspases‐2 and ‐8 are involved in the presenilin1/γ‐secretase‐dependent cleavage of amyloid precursor protein after the induction of apoptosis. Journal of Neuroscience Research. 88(9). 1926–1933. 15 indexed citations
18.
Jo, Chulman, Bong Geom Jang, & Sangmee Ahn Jo. (2009). MEK1 plays contrary stage-specific roles in skeletal myogenic differentiation. Cellular Signalling. 21(12). 1910–1917. 25 indexed citations
19.
Kim, Hyuck, Chulman Jo, Bong Geom Jang, Uhtaek Oh, & Sangmee Ahn Jo. (2007). Oncostatin M induces growth arrest of skeletal muscle cells in G1 phase by regulating cyclin D1 protein level. Cellular Signalling. 20(1). 120–129. 19 indexed citations
20.
Jo, Chulman, Hyuck Kim, Inho Jo, et al.. (2004). Leukemia inhibitory factor blocks early differentiation of skeletal muscle cells by activating ERK. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1743(3). 187–197. 63 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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