Jo‐Hsuan Wu

980 total citations
77 papers, 553 citations indexed

About

Jo‐Hsuan Wu is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Jo‐Hsuan Wu has authored 77 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ophthalmology, 47 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Jo‐Hsuan Wu's work include Glaucoma and retinal disorders (47 papers), Retinal Diseases and Treatments (38 papers) and Retinal Imaging and Analysis (33 papers). Jo‐Hsuan Wu is often cited by papers focused on Glaucoma and retinal disorders (47 papers), Retinal Diseases and Treatments (38 papers) and Retinal Imaging and Analysis (33 papers). Jo‐Hsuan Wu collaborates with scholars based in United States, Taiwan and Japan. Jo‐Hsuan Wu's co-authors include Robert N. Weinreb, Takashi Nishida, Sasan Moghimi, T. Y. Alvin Liu, Linda M. Zangwill, Jou‐Wei Lin, Wan‐Ting Hsu, Alireza Kamalipour, Jennifer Hui‐Chun Ho and Chien‐Chang Lee and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jo‐Hsuan Wu

68 papers receiving 549 citations

Peers

Jo‐Hsuan Wu

OPHTH

RNMI

EPIDE

PHEOH

Xiaoyun Chen China

Hee Seung Chin South Korea

Giulia Coco Italy

Paul Mitchell Australia

M. Wong China

Liyan Xu United States

Valéria Nagy Hungary

Paulo Henrique Morales Brazil

Yijin Tao China

Mayinuer Yusufu China

Xiaoyun Chen China

Jo‐Hsuan Wu

410 ×1.2

OPHTH

345 ×1.1

RNMI

178 ×2.7

EPIDE

103 ×2.7

29 ×0.8

PHEOH

Citations per year, relative to Jo‐Hsuan Wu Jo‐Hsuan Wu (= 1×) peers Xiaoyun Chen

Countries citing papers authored by Jo‐Hsuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jo‐Hsuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jo‐Hsuan Wu

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

All Works

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20 of 20 papers shown

Mahmoudinezhad, Golnoush, Sasan Moghimi, Takashi Nishida, et al.. (2024). Number of macula optical coherence tomography scans needed to detect glaucoma progression. British Journal of Ophthalmology. 109(6). 675–681. 1 indexed citations

Wu, Jo‐Hsuan, et al.. (2024). Social determinants of health and health disparities in glaucoma: A review. Clinical and Experimental Ophthalmology. 52(3). 276–293. 3 indexed citations

Mohammadzadeh, Vahid, Sasan Moghimi, Pengtao Xie, et al.. (2024). Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model. British Journal of Ophthalmology. 108(12). 1688–1693. 2 indexed citations

Wu, Jo‐Hsuan, et al.. (2024). Social Factors Associated with the Risk of Glaucoma Suspect Conversion to Glaucoma. Ophthalmology Glaucoma. 7(6). 551–562. 1 indexed citations

Wu, Jo‐Hsuan, Sasan Moghimi, Takashi Nishida, et al.. (2023). Detection and agreement of event-based OCT and OCTA analysis for glaucoma progression. Eye. 38(5). 973–979. 7 indexed citations

Wu, Jo‐Hsuan, Sasan Moghimi, Takashi Nishida, et al.. (2023). Time to Glaucoma Progression Detection by Optical Coherence Tomography in Individuals of African and European Descents. American Journal of Ophthalmology. 260. 60–69. 7 indexed citations

Wu, Jo‐Hsuan, Sasan Moghimi, Takashi Nishida, et al.. (2023). Long-term variability of retinal nerve fibre layer thickness measurement in patients with glaucoma of African and European descents. British Journal of Ophthalmology. 108(8). 1094–1100. 5 indexed citations

Nishida, Takashi, Sasan Moghimi, Jo‐Hsuan Wu, et al.. (2023). Association of foveal avascular zone change and glaucoma progression. British Journal of Ophthalmology. 108(8). 1101–1106. 4 indexed citations

Wu, Jo‐Hsuan. (2022). Peer Review of “Exploring the Reasons for Low Cataract Surgery Uptake Among Patients Detected in a Community Outreach Program in Cameroon: Focused Ethnographic Mixed Methods Study”. SHILAP Revista de lepidopterología. 3(2). e38873–e38873.

10.

Sun, Yi-Chen, et al.. (2022). The ocular graft-versus-host disease: the path from current knowledge to future managements. Eye. 37(10). 1982–1992. 4 indexed citations

11.

Wu, Jo‐Hsuan, Sasan Moghimi, Takashi Nishida, et al.. (2022). Evaluation of the long-term variability of macular OCT/OCTA and visual field parameters. British Journal of Ophthalmology. 108(2). 211–216. 15 indexed citations

12.

Wu, Jo‐Hsuan, et al.. (2022). Ocular involvement in TEMPI syndrome. American Journal of Ophthalmology Case Reports. 26. 101534–101534. 2 indexed citations

13.

Wu, Jo‐Hsuan, Sasan Moghimi, Takashi Nishida, et al.. (2022). Correlation of ganglion cell complex thinning with baseline deep and superficial macular vessel density in glaucoma. British Journal of Ophthalmology. 107(7). 953–958. 9 indexed citations

14.

Wu, Jo‐Hsuan, et al.. (2022). Application of Deep Learning to Retinal-Image-Based Oculomics for Evaluation of Systemic Health: A Review. Journal of Clinical Medicine. 12(1). 152–152. 25 indexed citations

15.

Kamalipour, Alireza, Sasan Moghimi, Vahid Mohammadzadeh, et al.. (2022). Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma. American Journal of Ophthalmology. 246. 141–154. 15 indexed citations

16.

Liu, Chen‐Hua, Hsin‐Yun Sun, Cheng‐Yuan Peng, et al.. (2022). Hepatitis C Virus Reinfection in People With HIV in Taiwan After Achieving Sustained Virologic Response With Antiviral Treatment: The RECUR Study. Open Forum Infectious Diseases. 9(8). ofac348–ofac348. 10 indexed citations

17.

Wu, Jo‐Hsuan, T. Y. Alvin Liu, Wan‐Ting Hsu, Jennifer Hui‐Chun Ho, & Chien‐Chang Lee. (2021). Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis. Journal of Medical Internet Research. 23(7). e23863–e23863. 67 indexed citations

18.

Nishida, Takashi, Sasan Moghimi, Jo‐Hsuan Wu, et al.. (2021). Rates of Circumpapillary Retinal Nerve Fiber Layer Thinning and Capillary Density Loss in Glaucomatous Eyes with Disc Hemorrhage. American Journal of Ophthalmology. 235. 24–31. 6 indexed citations

19.

Chang, Sheng‐Nan, Jien‐Jiun Chen, Jo‐Hsuan Wu, et al.. (2021). Association between Exosomal miRNAs and Coronary Artery Disease by Next-Generation Sequencing. Cells. 11(1). 98–98. 20 indexed citations

20.

Wu, Jo‐Hsuan, Jih‐Shuin Jerng, & Chien‐Chia Su. (2019). Insidious-onset, non-wheezing carteolol-induced asthma in an atopic patient without asthma history. BMJ Case Reports. 12(4). e229343–e229343. 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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