Chang-ki Oh

888 total citations
20 papers, 647 citations indexed

About

Chang-ki Oh is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Chang-ki Oh has authored 20 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Neurology. Recurrent topics in Chang-ki Oh's work include Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Redox biology and oxidative stress (4 papers). Chang-ki Oh is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Redox biology and oxidative stress (4 papers). Chang-ki Oh collaborates with scholars based in United States, South Korea and Israel. Chang-ki Oh's co-authors include Stuart A. Lipton, Tomohiro Nakamura, Xu Zhang, Dorit Trudler, Rajesh Ambasudhan, Takumi Satoh, John R. Yates, Elaine Pirie, Olga Prikhodko and Shu‐ichi Okamoto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Chang-ki Oh

19 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-ki Oh United States 12 337 220 132 100 85 20 647
David Hondius Netherlands 10 430 1.3× 226 1.0× 94 0.7× 59 0.6× 38 0.4× 12 752
Rosanna Cabré Spain 16 497 1.5× 298 1.4× 54 0.4× 58 0.6× 80 0.9× 21 840
Sujyoti Chandra United States 10 251 0.7× 202 0.9× 75 0.6× 61 0.6× 87 1.0× 14 561
Maria B. Bagh United States 13 334 1.0× 242 1.1× 58 0.4× 89 0.9× 83 1.0× 20 644
Débora Lanznaster France 18 344 1.0× 139 0.6× 290 2.2× 155 1.6× 43 0.5× 37 852
Jonathan Thévenet Switzerland 12 369 1.1× 250 1.1× 188 1.4× 168 1.7× 77 0.9× 16 839
Pedro A. Dionísio Portugal 12 412 1.2× 150 0.7× 147 1.1× 106 1.1× 97 1.1× 13 722
Ramon Wade United States 7 459 1.4× 330 1.5× 59 0.4× 72 0.7× 44 0.5× 7 794
Scott J. Koppel United States 15 398 1.2× 373 1.7× 48 0.4× 63 0.6× 48 0.6× 19 715
Marco Antônio De Bastiani Brazil 19 466 1.4× 198 0.9× 55 0.4× 121 1.2× 58 0.7× 57 983

Countries citing papers authored by Chang-ki Oh

Since Specialization
Citations

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

Fields of papers citing papers by Chang-ki Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-ki Oh. 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 Chang-ki Oh. The network helps show where Chang-ki Oh may publish in the future.

Co-authorship network of co-authors of Chang-ki Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-ki Oh. A scholar is included among the top collaborators of Chang-ki Oh 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 Chang-ki Oh. Chang-ki Oh 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.
Oh, Chang-ki, et al.. (2025). Redox modulation of the complement cascade contributes to synapse loss in Alzheimer's disease. Neurotherapeutics. 22(6). e00707–e00707.
2.
Oh, Chang-ki, Tomohiro Nakamura, Xu Zhang, & Stuart A. Lipton. (2024). Redox regulation, protein S-nitrosylation, and synapse loss in Alzheimer’s and related dementias. Neuron. 112(23). 3823–3850. 15 indexed citations
3.
Yang, Hongmei, Chang-ki Oh, Haitham Amal, et al.. (2022). Mechanistic insight into female predominance in Alzheimer’s disease based on aberrant protein S-nitrosylation of C3. Science Advances. 8(50). eade0764–eade0764. 43 indexed citations
4.
Cho, Eun‐Jung, Sang‐Seok Oh, Tomohiro Nakamura, et al.. (2022). S-Nitrosylation of cathepsin B affects autophagic flux and accumulation of protein aggregates in neurodegenerative disorders. Cell Death and Differentiation. 29(11). 2137–2150. 22 indexed citations
5.
Oh, Chang-ki, Tomohiro Nakamura, & Stuart A. Lipton. (2022). Inhibition of autophagic flux by S-nitrosylation of SQSTM1/p62 promotes neuronal secretion and cell-to-cell transmission of SNCA/α-synuclein in Parkinson disease and Lewy body dementia. SHILAP Revista de lepidopterología. 1(1). 223–225. 6 indexed citations
6.
7.
Nakamura, Tomohiro, Chang-ki Oh, Xu Zhang, & Stuart A. Lipton. (2021). Protein S-nitrosylation and oxidation contribute to protein misfolding in neurodegeneration. Free Radical Biology and Medicine. 172. 562–577. 58 indexed citations
8.
Oh, Chang-ki, et al.. (2021). RNF166 plays a dual role for Lys63-linked ubiquitination and sumoylation of its target proteins. Journal of Neural Transmission. 129(5-6). 463–475. 1 indexed citations
9.
Nakamura, Tomohiro, Chang-ki Oh, Xu Zhang, Steven R. Tannenbaum, & Stuart A. Lipton. (2021). Protein Transnitrosylation Signaling Networks Contribute to Inflammaging and Neurodegenerative Disorders. Antioxidants and Redox Signaling. 35(7). 531–550. 26 indexed citations
10.
Pirie, Elaine, Chang-ki Oh, Xu Zhang, et al.. (2021). S-nitrosylated TDP-43 triggers aggregation, cell-to-cell spread, and neurotoxicity in hiPSCs and in vivo models of ALS/FTD. Proceedings of the National Academy of Sciences. 118(11). 30 indexed citations
11.
Nakamura, Tomohiro, Chang-ki Oh, Lujian Liao, et al.. (2020). Noncanonical transnitrosylation network contributes to synapse loss in Alzheimer’s disease. Science. 371(6526). 67 indexed citations
12.
Oh, Chang-ki, et al.. (2020). RING-finger protein 166 plays a novel pro-apoptotic role in neurotoxin-induced neurodegeneration via ubiquitination of XIAP. Cell Death and Disease. 11(10). 939–939. 11 indexed citations
13.
Okamoto, Shu‐ichi, Olga Prikhodko, Juan Piña-Crespo, et al.. (2019). NitroSynapsin for the treatment of neurological manifestations of tuberous sclerosis complex in a rodent model. Neurobiology of Disease. 127. 390–397. 9 indexed citations
14.
Oh, Chang-ki, Abdullah Sultan, Nima Dolatabadi, et al.. (2017). S-Nitrosylation of PINK1 Attenuates PINK1/Parkin-Dependent Mitophagy in hiPSC-Based Parkinson’s Disease Models. Cell Reports. 21(8). 2171–2182. 107 indexed citations
15.
Oh, Chang-ki, Hyereen Kang, Ji Won Um, et al.. (2016). Proteolytic degradation and potential role of onconeural protein cdr2 in neurodegeneration. Cell Death and Disease. 7(6). e2240–e2240. 10 indexed citations
16.
Nakamura, Tomohiro, Olga Prikhodko, Elaine Pirie, et al.. (2015). Aberrant protein S-nitrosylation contributes to the pathophysiology of neurodegenerative diseases. Neurobiology of Disease. 84. 99–108. 134 indexed citations
17.
Oh, Chang-ki, Baek-Soo Han, Won-Seok Choi, Moussa B. H. Youdim, & Young J. Oh. (2011). Translocation and oligomerization of Bax is regulated independently by activation of p38 MAPK and caspase-2 during MN9D dopaminergic neurodegeneration. APOPTOSIS. 16(11). 1087–1100. 12 indexed citations
18.
Oh, Chang-ki, et al.. (2011). Microarray expression profiling in 6-hydroxydopamine-induced dopaminergic neuronal cell death. Journal of Neural Transmission. 118(11). 1585–1598. 5 indexed citations
19.
Kim, Soon Il, et al.. (1996). De novo cancer in transplant recipients.. PubMed. 28(3). 1651–2. 6 indexed citations
20.
Jeong, Hyeon Joo, et al.. (1996). Immunologic and nonimmunologic contributors to glomerular segmental sclerosis in renal transplantation.. PubMed. 28(3). 1224–5. 1 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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