Kun‐Che Chang

2.0k total citations · 1 hit paper
65 papers, 1.2k citations indexed

About

Kun‐Che Chang is a scholar working on Molecular Biology, Cell Biology and Ophthalmology. According to data from OpenAlex, Kun‐Che Chang has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Cell Biology and 11 papers in Ophthalmology. Recurrent topics in Kun‐Che Chang's work include Aldose Reductase and Taurine (14 papers), Retinal Development and Disorders (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Kun‐Che Chang is often cited by papers focused on Aldose Reductase and Taurine (14 papers), Retinal Development and Disorders (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Kun‐Che Chang collaborates with scholars based in United States, Taiwan and China. Kun‐Che Chang's co-authors include J. Mark Petrash, Biehuoy Shieh, Daniel V. LaBarbera, Jeffrey L. Goldberg, Chih‐Wen Shu, Anson Snow, Jessica Ponder, Michael Nahmou, Yen‐Ju Chen and Pei‐Feng Liu and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Trends in Neurosciences.

In The Last Decade

Kun‐Che Chang

61 papers receiving 1.1k citations

Hit Papers

The interplay of autophagy and oxidative stress in the pa... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun‐Che Chang United States 21 586 219 203 131 112 65 1.2k
Anália do Carmo Portugal 23 544 0.9× 319 1.5× 84 0.4× 90 0.7× 150 1.3× 42 1.3k
Michael D. Dennis United States 24 1.2k 2.0× 194 0.9× 319 1.6× 56 0.4× 33 0.3× 65 1.6k
Francesco Giorgianni United States 21 796 1.4× 87 0.4× 148 0.7× 283 2.2× 71 0.6× 46 1.5k
Walter J. Esselman United States 21 1.1k 1.8× 205 0.9× 110 0.5× 93 0.7× 186 1.7× 50 1.8k
Scott M. Plafker United States 22 948 1.6× 156 0.7× 95 0.5× 79 0.6× 30 0.3× 37 1.4k
Šárka Beranová-Giorgianni United States 19 603 1.0× 86 0.4× 99 0.5× 44 0.3× 73 0.7× 41 1.2k
Yalin Wu China 24 1.4k 2.5× 836 3.8× 145 0.7× 54 0.4× 197 1.8× 69 2.4k
Monika B. Dolinska United States 19 499 0.9× 55 0.3× 329 1.6× 37 0.3× 36 0.3× 46 1.5k
Jens Fritsche Germany 15 1.2k 2.0× 68 0.3× 126 0.6× 38 0.3× 253 2.3× 21 2.3k
Lawrence E. Stramm United States 16 978 1.7× 189 0.9× 673 3.3× 42 0.3× 83 0.7× 29 1.8k

Countries citing papers authored by Kun‐Che Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Che Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Che Chang. 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 Kun‐Che Chang. The network helps show where Kun‐Che Chang may publish in the future.

Co-authorship network of co-authors of Kun‐Che Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Che Chang. A scholar is included among the top collaborators of Kun‐Che Chang 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 Kun‐Che Chang. Kun‐Che Chang 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.
Chang, Kun‐Che, et al.. (2025). Insights from TPPP3 and its family member proteins in neuronal diseases. Neural Regeneration Research.
2.
Luo, Ziming, Chi‐Yu Chen, Shining Wang, et al.. (2024). Tppp3 is a novel molecule for retinal ganglion cell identification and optic nerve regeneration. Acta Neuropathologica Communications. 12(1). 204–204. 1 indexed citations
3.
Wang, Shining, et al.. (2024). GDF-15 Attenuates the Epithelium–Mesenchymal Transition and Alleviates TGFβ2-Induced Lens Opacity. Translational Vision Science & Technology. 13(7). 2–2. 2 indexed citations
4.
Wang, Shining, et al.. (2024). Generating ESC-Derived RGCs for Cell Replacement Therapy. Methods in molecular biology. 2848. 187–196. 4 indexed citations
5.
Huang, Shu‐Pin, Kun‐Che Chang, Po‐Len Liu, et al.. (2024). Glaucine inhibits hypoxia-induced angiogenesis and attenuates LPS-induced inflammation in human retinal pigment epithelial ARPE-19 cells. European Journal of Pharmacology. 981. 176883–176883. 2 indexed citations
6.
Chang, Kun‐Che, Po‐Yen Lee, Po‐Len Liu, et al.. (2023). Nordalbergin Exerts Anti-Neuroinflammatory Effects by Attenuating MAPK Signaling Pathway, NLRP3 Inflammasome Activation and ROS Production in LPS-Stimulated BV2 Microglia. International Journal of Molecular Sciences. 24(8). 7300–7300. 12 indexed citations
7.
Irshad, Khushboo, et al.. (2023). The Neuroimmune Regulation and Potential Therapeutic Strategies of Optic Pathway Glioma. Brain Sciences. 13(10). 1424–1424. 2 indexed citations
8.
Chang, Kun‐Che, et al.. (2023). AKR1B1 Represses Glioma Cell Proliferation through p38 MAPK-Mediated Bcl-2/BAX/Caspase-3 Apoptotic Signaling Pathways. Current Issues in Molecular Biology. 45(4). 3391–3405. 17 indexed citations
10.
Ning, Ke, Mohajeet Bhuckory, Tia J. Kowal, et al.. (2023). Cilia-associated wound repair mediated by IFT88 in retinal pigment epithelium. Scientific Reports. 13(1). 8205–8205.
11.
Wang, Shining, et al.. (2022). The Role of Aldose Reductase in Beta-Amyloid-Induced Microglia Activation. International Journal of Molecular Sciences. 23(23). 15088–15088. 14 indexed citations
12.
Chen, Yen-Chia, et al.. (2022). Cerebral Complications of Snakebite Envenoming: Case Studies. Toxins. 14(7). 436–436. 20 indexed citations
13.
Xia, Xin, Caroline Yu, Minjuan Bian, et al.. (2020). MEF2 transcription factors differentially contribute to retinal ganglion cell loss after optic nerve injury. PLoS ONE. 15(12). e0242884–e0242884. 8 indexed citations
14.
Mohammadinejad, Reza, Alessio Biagioni, Ganesan Arunkumar, et al.. (2020). EMT signaling: potential contribution of CRISPR/Cas gene editing. Cellular and Molecular Life Sciences. 77(14). 2701–2722. 20 indexed citations
15.
Chang, Kun‐Che & J. Mark Petrash. (2018). Aldo-Keto Reductases: Multifunctional Proteins as Therapeutic Targets in Diabetes and Inflammatory Disease. Advances in experimental medicine and biology. 1032. 173–202. 27 indexed citations
16.
Nahmou, Michael, et al.. (2017). Cell Replacement in Optic Neuropathy. 1–2. 1 indexed citations
17.
Chang, Kun‐Che & Jonathan Hertz. (2017). SoxC transcription factors in retinal development and regeneration. Neural Regeneration Research. 12(7). 1048–1048. 12 indexed citations
18.
Chang, Kun‐Che, et al.. (2017). Influence of aldose reductase on epithelial-to-mesenchymal transition signaling in lens epithelial cells. Chemico-Biological Interactions. 276. 149–154. 20 indexed citations
19.
LaBarbera, Daniel V., et al.. (2014). The Characterization and Therapeutic Development of Natural Products from E. Officinalis: An Ayurvedic Medicinal Plant Used to Treat Diabetic Eye Disease. The Journal of Alternative and Complementary Medicine. 20(5). A26–A26. 1 indexed citations
20.
Chang, Kun‐Che, Brian Laffin, Jessica Ponder, et al.. (2012). Beta-glucogallin reduces the expression of lipopolysaccharide-induced inflammatory markers by inhibition of aldose reductase in murine macrophages and ocular tissues. Chemico-Biological Interactions. 202(1-3). 283–287. 45 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026