Chio Oka

2.6k total citations · 1 hit paper
45 papers, 2.0k citations indexed

About

Chio Oka is a scholar working on Molecular Biology, Neurology and Ophthalmology. According to data from OpenAlex, Chio Oka has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Neurology and 10 papers in Ophthalmology. Recurrent topics in Chio Oka's work include Cerebrovascular and genetic disorders (18 papers), Retinal Diseases and Treatments (9 papers) and Retinal Imaging and Analysis (5 papers). Chio Oka is often cited by papers focused on Cerebrovascular and genetic disorders (18 papers), Retinal Diseases and Treatments (9 papers) and Retinal Imaging and Analysis (5 papers). Chio Oka collaborates with scholars based in Japan, Indonesia and Germany. Chio Oka's co-authors include Masashi Kawaichi, Tasuku Honjo, Masato Yano, Yoshifumi Ueta, Jiraporn Tocharus, Toru Nakano, Kohei Shiota, José Luís de la Pompa, Takashi Sakai and Andrew Wakeham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Chio Oka

44 papers receiving 1.9k citations

Hit Papers

Disruption of the mouse RBP-Jк gene results in early embr... 1995 2026 2005 2015 1995 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chio Oka Japan 20 1.1k 459 337 227 181 45 2.0k
Lauri Miller United States 12 998 0.9× 111 0.2× 600 1.8× 211 0.9× 103 0.6× 16 2.1k
Jianhua Yan China 18 615 0.6× 875 1.9× 257 0.8× 56 0.2× 77 0.4× 107 1.9k
Ivan B. Lobov United States 13 2.3k 2.1× 103 0.2× 186 0.6× 162 0.7× 314 1.7× 25 3.0k
Marion Jeanne United States 16 1.4k 1.3× 206 0.4× 126 0.4× 44 0.2× 242 1.3× 23 2.1k
M. Sarfarazi United Kingdom 28 1.7k 1.6× 192 0.4× 415 1.2× 217 1.0× 819 4.5× 67 3.0k
Susanne Adams Germany 19 2.3k 2.1× 187 0.4× 128 0.4× 119 0.5× 168 0.9× 22 3.5k
Collins Vp Sweden 24 1.3k 1.2× 398 0.9× 85 0.3× 178 0.8× 168 0.9× 65 2.4k
Osamu Tachibana Japan 23 1.2k 1.0× 437 1.0× 40 0.1× 101 0.4× 97 0.5× 105 2.7k
Weiyong Shen Australia 24 1.2k 1.1× 64 0.1× 886 2.6× 496 2.2× 155 0.9× 73 2.0k
Alice Wong United States 27 1.6k 1.5× 120 0.3× 46 0.1× 65 0.3× 191 1.1× 52 2.6k

Countries citing papers authored by Chio Oka

Since Specialization
Citations

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

Fields of papers citing papers by Chio Oka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chio Oka

This figure shows the co-authorship network connecting the top 25 collaborators of Chio Oka. A scholar is included among the top collaborators of Chio Oka 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 Chio Oka. Chio Oka 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.
Biswas, Pooja, TJ Hollingsworth, Naheed W. Khan, et al.. (2025). Ablation of Htra1 leads to sub-RPE deposits and photoreceptor abnormalities. JCI Insight. 10(3). 1 indexed citations
2.
Tocharus, Jiraporn, et al.. (2023). Pelargonic acid vanillylamide alleviates hepatic autophagy and ER stress in hepatic steatosis model. Food and Chemical Toxicology. 180. 113987–113987. 1 indexed citations
3.
Sasongko, Muhammad Bayu, et al.. (2022). rs10737680 polymorphism in complement factor H and neovascular age-related macular degeneration in Yogyakarta, Indonesia. PubMed. 11(2). 71–76. 2 indexed citations
4.
Oka, Chio, et al.. (2022). Protective Effect of Neferine in Permanent Cerebral Ischemic Rats via Anti-Oxidative and Anti-Apoptotic Mechanisms. Neurotoxicity Research. 40(5). 1348–1359. 7 indexed citations
5.
Sasongko, Muhammad Bayu, et al.. (2021). Associations of ARMS2 and CFH Gene Polymorphisms with Neovascular Age-Related Macular Degeneration. Clinical ophthalmology. Volume 15. 1101–1108. 9 indexed citations
6.
Oka, Chio, et al.. (2021). Interplay between HTRA1 and classical signalling pathways in organogenesis and diseases. Saudi Journal of Biological Sciences. 29(4). 1919–1927. 15 indexed citations
7.
Tang, Tian, et al.. (2019). High-Temperature Requirement A1 Protease as a Rate-Limiting Factor in the Development of Osteoarthritis. American Journal Of Pathology. 189(7). 1423–1434. 19 indexed citations
8.
McGuire, Tammy L., et al.. (2018). BMP-Responsive Protease HtrA1 Is Differentially Expressed in Astrocytes and Regulates Astrocytic Development and Injury Response. Journal of Neuroscience. 38(15). 3840–3857. 16 indexed citations
9.
Ikawati, Muthi, Masashi Kawaichi, & Chio Oka. (2018). Loss of HtrA1 serine protease induces synthetic modulation of aortic vascular smooth muscle cells. PLoS ONE. 13(5). e0196628–e0196628. 15 indexed citations
10.
Klose, Ralph, Mohamed Adam, Iris Moll, et al.. (2018). Inactivation of the serine protease HTRA1 inhibits tumor growth by deregulating angiogenesis. Oncogene. 37(31). 4260–4272. 27 indexed citations
11.
Zellner, Andreas, Eva Scharrer, Thomas Arzberger, et al.. (2018). CADASIL brain vessels show a HTRA1 loss-of-function profile. Acta Neuropathologica. 136(1). 111–125. 54 indexed citations
12.
Mirsaidi, Ali, André N. Tiaden, Gisela Kuhn, et al.. (2017). Role of HTRA1 in bone formation and regeneration: In vitro and in vivo evaluation. PLoS ONE. 12(7). e0181600–e0181600. 13 indexed citations
13.
Schmidt, Nina, Vanda Lux, Christian Johannes, et al.. (2016). Epigenetic silencing of serine protease HTRA1 drives polyploidy. BMC Cancer. 16(1). 399–399. 21 indexed citations
14.
Ikawati, Muthi, et al.. (2014). Abnormal development of placenta in HtrA1-deficient mice. Developmental Biology. 397(1). 89–102. 33 indexed citations
16.
Akahori, Masakazu, Chio Oka, & Takeshi Iwata. (2008). Characterization of the Retina in Htra1 Deficient Mouse. Investigative Ophthalmology & Visual Science. 49(13). 3418–3418. 2 indexed citations
17.
Shiroshima, Tomoko, Chio Oka, & Masashi Kawaichi. (2008). Identification of LRP1B‐interacting proteins and inhibition of protein kinase Cα‐phosphorylation of LRP1B by association with PICK1. FEBS Letters. 583(1). 43–48. 7 indexed citations
18.
Yano, Masato, Jiraporn Tocharus, Hisae Kojima, et al.. (2005). Expression of mouse HtrA1 serine protease in normal bone and cartilage and its upregulation in joint cartilage damaged by experimental arthritis. Bone. 37(3). 323–336. 116 indexed citations
19.
Tocharus, Jiraporn, et al.. (2004). Developmentally regulated expression of mouse HtrA3 and its role as an inhibitor of TGF‐β signaling. Development Growth & Differentiation. 46(3). 257–274. 116 indexed citations
20.
Ideta, Hidenao, Junichi Yonemoto, Shigeki Tanaka, et al.. (1995). Epidemiologic characteristics of rhegmatogenous retinal detachment in Kumamoto, Japan. Graefe s Archive for Clinical and Experimental Ophthalmology. 233(12). 772–776. 70 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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