Ziyuan Ma

1.9k total citations
24 papers, 873 citations indexed

About

Ziyuan Ma is a scholar working on Molecular Biology, Nephrology and Neurology. According to data from OpenAlex, Ziyuan Ma has authored 24 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Nephrology and 4 papers in Neurology. Recurrent topics in Ziyuan Ma's work include Renal and related cancers (6 papers), Renal Diseases and Glomerulopathies (6 papers) and Single-cell and spatial transcriptomics (4 papers). Ziyuan Ma is often cited by papers focused on Renal and related cancers (6 papers), Renal Diseases and Glomerulopathies (6 papers) and Single-cell and spatial transcriptomics (4 papers). Ziyuan Ma collaborates with scholars based in United States, Germany and China. Ziyuan Ma's co-authors include Katalin Suszták, Hongbo Liu, Michael S. Balzer, Junnan Wu, Zhen Miao, Tomohito Doke, Xin Sheng, Rojesh Shrestha, Hailong Hu and Matthew B. Palmer and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Ziyuan Ma

23 papers receiving 866 citations

Peers

Ziyuan Ma

NEPHR

IMMUN

PRM

Panagiotis Kavvadas France

Fabian Bock United States

Nicolas Ledru United States

Yoshiharu Muto Japan

Amandine Viau France

Kensuke Sasaki Japan

Thiruvur Niranjan United States

Takeshi Ninchoji Japan

Fumiaki Nogaki Japan

Tetsuo Morioka Japan

Panagiotis Kavvadas France

Ziyuan Ma

441 ×0.9

225 ×0.8

NEPHR

106 ×0.8

IMMUN

104 ×0.8

PRM

83 ×0.8

Citations per year, relative to Ziyuan Ma Ziyuan Ma (= 1×) peers Panagiotis Kavvadas

Countries citing papers authored by Ziyuan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Ziyuan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyuan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ziyuan Ma. A scholar is included among the top collaborators of Ziyuan Ma 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 Ziyuan Ma. Ziyuan Ma 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

Ma, Ziyuan, et al.. (2025). Neuroligin-3 R451C induces gain-of-function gene expression in astroglia in an astroglia-enriched brain organoid model. Cell Regeneration. 14(1). 1–1. 1 indexed citations

Jin, Mengmeng, Ziyuan Ma, Haiwei Zhang, et al.. (2025). A myeloid trisomy 21-associated gene variant is protective from Alzheimer’s disease. Nature Neuroscience. 29(1). 25–39.

Jin, Mengmeng, et al.. (2025). Chimeric brain models: Unlocking insights into human neural development, aging, diseases, and cell therapies. Neuron. 113(14). 2230–2250. 3 indexed citations

Abedini, Amin, Andrea Sánchez‐Navarro, Junnan Wu, et al.. (2023). Single-cell transcriptomics and chromatin accessibility profiling elucidate the kidney-protective mechanism of mineralocorticoid receptor antagonists. Journal of Clinical Investigation. 134(1). 22 indexed citations

Liu, Hongbo, Tomohito Doke, Xin Sheng, et al.. (2022). Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nature Genetics. 54(7). 950–962. 102 indexed citations

Yang, Ya‐Wen, Bibek Poudel, Poonam Dhillon, et al.. (2022). Antisense oligonucleotides ameliorate kidney dysfunction in podocyte-specific APOL1 risk variant mice. Molecular Therapy. 30(7). 2491–2504. 11 indexed citations

Jin, Mengmeng, Ranjie Xu, Le Wang, et al.. (2022). Type-I-interferon signaling drives microglial dysfunction and senescence in human iPSC models of Down syndrome and Alzheimer’s disease. Cell stem cell. 29(7). 1135–1153.e8. 94 indexed citations

Jin, Mengmeng, Ziyuan Ma, & Peng Jiang. (2022). Generation of iPSC-based human-mouse microglial brain chimeras to study senescence of human microglia. STAR Protocols. 3(4). 101847–101847. 4 indexed citations

Ma, Ziyuan & Christiane Ruedl. (2022). Turnover Kinetics of Pancreatic Macrophages in Lean and Obese Diabetic Mice. Frontiers in Endocrinology. 13. 858422–858422. 5 indexed citations

10.

Balzer, Michael S., Tomohito Doke, Ya‐Wen Yang, et al.. (2022). Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration. Nature Communications. 13(1). 4018–4018. 116 indexed citations

11.

Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. Journal of Clinical Investigation. 131(10). 50 indexed citations

12.

Wu, Junnan, Archana Raman, Nathan J. Coffey, et al.. (2021). The key role of NLRP3 and STING in APOL1-associated podocytopathy. Journal of Clinical Investigation. 131(20). 94 indexed citations

13.

Guan, Yuting, Xiujie Liang, Ziyuan Ma, et al.. (2021). A single genetic locus controls both expression of DPEP1/CHMP1A and kidney disease development via ferroptosis. Nature Communications. 12(1). 5078–5078. 54 indexed citations

14.

Wu, Junnan, Ziyuan Ma, Archana Raman, et al.. (2021). APOL1 risk variants in individuals of African genetic ancestry drive endothelial cell defects that exacerbate sepsis. Immunity. 54(11). 2632–2649.e6. 63 indexed citations

15.

Miao, Zhen, Michael S. Balzer, Ziyuan Ma, et al.. (2021). Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets. Nature Communications. 12(1). 2277–2277. 135 indexed citations

16.

Abedini, Amin, et al.. (2021). Revealing the Antifibrotic Mechanism of Finerenone in the DOCA-Salt Nephropathy Rat Model Using Single Nuclei and Bulk Transcriptomics. Journal of the American Society of Nephrology. 32(10S). 765–765. 2 indexed citations

17.

Jiang, Liying, Yiqin Zhou, Junjie Shen, et al.. (2021). RNA Sequencing Reveals LINC00167 as a Potential Diagnosis Biomarker for Primary Osteoarthritis: A Multi-Stage Study. Frontiers in Genetics. 11. 539489–539489. 9 indexed citations

18.

Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Genome-wide association studies identify the role of caspase-9 in kidney disease. Science Advances. 7(45). eabi8051–eabi8051. 22 indexed citations

19.

Guan, Yuting, Hongbo Liu, Ziyuan Ma, et al.. (2020). Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease. Journal of the American Society of Nephrology. 31(4). 765–782. 19 indexed citations

20.

Wu, Junnan, et al.. (2020). Uncovering Genomic Alterations in DOCA-Salt Nephropathy Rats Treated with Finerenone. Journal of the American Society of Nephrology. 31(10S). 238–238. 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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