Changyi Ji

1.0k total citations · 1 hit paper
23 papers, 689 citations indexed

About

Changyi Ji is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Changyi Ji has authored 23 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Changyi Ji's work include Alzheimer's disease research and treatments (6 papers), Retinal Development and Disorders (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Changyi Ji is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Retinal Development and Disorders (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Changyi Ji collaborates with scholars based in United States, China and Japan. Changyi Ji's co-authors include Einar M. Sigurdsson, Daniel J. Kosman, Erin E. Congdon, Yixiang Jiang, Gail V.W. Johnson, Amber M. Tetlow, Maoping Tang, Yu Zhang, Tingting Yang and Claudia Zeidler and has published in prestigious journals such as Nature Communications, Scientific Reports and Biological Psychiatry.

In The Last Decade

Changyi Ji

22 papers receiving 685 citations

Hit Papers

Tau-targeting therapies for Alzheimer disease: current st... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changyi Ji United States 13 307 254 117 88 81 23 689
Jan O. Johansson United States 20 632 2.1× 271 1.1× 180 1.5× 61 0.7× 83 1.0× 51 1.3k
Sung Sup Park South Korea 15 332 1.1× 177 0.7× 81 0.7× 43 0.5× 32 0.4× 20 627
Florence Burté United Kingdom 15 838 2.7× 215 0.8× 152 1.3× 77 0.9× 26 0.3× 23 1.2k
Gregory Orloff United States 10 261 0.9× 541 2.1× 107 0.9× 49 0.6× 40 0.5× 17 960
Neha Singh India 13 343 1.1× 92 0.4× 94 0.8× 43 0.5× 41 0.5× 36 675
Frank Matthes Germany 19 328 1.1× 338 1.3× 90 0.8× 80 0.9× 43 0.5× 34 707
Weijin Liu China 11 339 1.1× 116 0.5× 90 0.8× 56 0.6× 38 0.5× 21 684
Rachal Love United States 7 383 1.2× 294 1.2× 155 1.3× 208 2.4× 40 0.5× 9 945
Hiroko Kishi Japan 20 522 1.7× 130 0.5× 70 0.6× 35 0.4× 47 0.6× 54 910
Jongmin Jacob Woo United States 17 465 1.5× 106 0.4× 47 0.4× 65 0.7× 38 0.5× 36 888

Countries citing papers authored by Changyi Ji

Since Specialization
Citations

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

Fields of papers citing papers by Changyi Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyi Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Changyi Ji. A scholar is included among the top collaborators of Changyi Ji 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 Changyi Ji. Changyi Ji 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.
Wang, Luyu, Hongtao Wang, Jian‐Lin Wu, et al.. (2025). Gut microbiota and metabolomics in metabolic dysfunction-associated fatty liver disease: interaction, mechanism, and therapeutic value. Frontiers in Cellular and Infection Microbiology. 15. 1635638–1635638. 2 indexed citations
2.
Li, Miaomiao, Meng Shi, Changyi Ji, et al.. (2025). The Gut Microbiota in Elderly Patients with Acute Hepatitis E Infection. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 1 indexed citations
3.
Ji, Changyi, et al.. (2024). Neuronal hypofunction and network dysfunction in a mouse model at early stage of tauopathy. Alzheimer s & Dementia. 20(S1). e089673–e089673.
4.
Jiang, Yixiang, Yan Lin, Amber M. Tetlow, et al.. (2024). Single-domain antibody-based protein degrader for synucleinopathies. Molecular Neurodegeneration. 19(1). 44–44. 5 indexed citations
5.
Ji, Changyi, Xiaofeng Yang, Yixiang Jiang, et al.. (2024). Neuronal hypofunction and network dysfunction in a mouse model at an early stage of tauopathy. Alzheimer s & Dementia. 20(11). 7954–7970. 1 indexed citations
6.
Congdon, Erin E., Changyi Ji, Amber M. Tetlow, Yixiang Jiang, & Einar M. Sigurdsson. (2023). Tau-targeting therapies for Alzheimer disease: current status and future directions. Nature Reviews Neurology. 19(12). 715–736. 168 indexed citations breakdown →
7.
Lin, Heng, Maoping Tang, Changyi Ji, et al.. (2021). BAG3 Regulation of RAB35 Mediates the Endosomal Sorting Complexes Required for Transport/Endolysosome Pathway and Tau Clearance. Biological Psychiatry. 92(1). 10–24. 11 indexed citations
8.
Ji, Changyi & Einar M. Sigurdsson. (2021). Current Status of Clinical Trials on Tau Immunotherapies. Drugs. 81(10). 1135–1152. 76 indexed citations
9.
Zhao, Qingqing, Changyi Ji, Ziao Fu, et al.. (2020). Structural and functional characterization of the bestrophin-2 anion channel. Nature Structural & Molecular Biology. 27(4). 382–391. 23 indexed citations
10.
Wu, Qian, Yang Bai, Wei Li, et al.. (2020). Increased neuronal activity in motor cortex reveals prominent calcium dyshomeostasis in tauopathy mice. Neurobiology of Disease. 147. 105165–105165. 10 indexed citations
11.
Ji, Changyi, Yao Li, Nancy E. Ward, et al.. (2019). Investigation and Restoration of BEST1 Activity in Patient-derived RPEs with Dominant Mutations. Scientific Reports. 9(1). 19026–19026. 31 indexed citations
12.
Ji, Changyi, Nancy E. Ward, Shoudeng Chen, et al.. (2019). Dual Ca2+-dependent gates in human Bestrophin1 underlie disease-causing mechanisms of gain-of-function mutations. Communications Biology. 2(1). 240–240. 16 indexed citations
13.
Ji, Changyi, et al.. (2018). Depletion of astrocytic transglutaminase 2 improves injury outcomes. Molecular and Cellular Neuroscience. 92. 128–136. 9 indexed citations
14.
Zhang, Yu, et al.. (2018). ATP activates bestrophin ion channels through direct interaction. Nature Communications. 9(1). 3126–3126. 30 indexed citations
16.
Ji, Changyi, Maoping Tang, & Gail V.W. Johnson. (2017). Assessing the degradation of tau in primary neurons: The role of autophagy. Methods in cell biology. 141. 229–244. 16 indexed citations
17.
Tang, Maoping, et al.. (2017). Nrf2 mediates the expression of BAG3 and autophagy cargo adaptor proteins and tau clearance in an age-dependent manner. Neurobiology of Aging. 63. 128–139. 47 indexed citations
18.
Ji, Changyi, et al.. (2016). Inhibition or ablation of transglutaminase 2 impairs astrocyte migration. Biochemical and Biophysical Research Communications. 482(4). 942–947. 10 indexed citations
19.
Ji, Changyi & Daniel J. Kosman. (2015). Molecular mechanisms of non‐transferrin‐bound and transferring‐bound iron uptake in primary hippocampal neurons. Journal of Neurochemistry. 133(5). 668–683. 86 indexed citations
20.
Lin, Din L., Steven L. Foley, Jianfeng Han, et al.. (2012). Characterization of antimicrobial resistance of Pseudomonas aeruginosa isolated from canine infections. Journal of Applied Microbiology. 113(1). 16–23. 34 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