Feiyang Ma

5.6k total citations · 2 hit papers
85 papers, 2.0k citations indexed

About

Feiyang Ma is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Feiyang Ma has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Immunology, 35 papers in Molecular Biology and 10 papers in Hematology. Recurrent topics in Feiyang Ma's work include Single-cell and spatial transcriptomics (13 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (9 papers). Feiyang Ma is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (9 papers). Feiyang Ma collaborates with scholars based in United States, China and United Kingdom. Feiyang Ma's co-authors include Matteo Pellegrini, Timothy E. O’Sullivan, Jóhann E. Guðjónsson, Lam C. Tsoi, Andrew D. Hildreth, Yung Yu Wong, Robert L. Modlin, M. Luisa Iruela‐Arispe, Priscila R. Andrade and Rachael Wasikowski and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Feiyang Ma

81 papers receiving 2.0k citations

Hit Papers

Single-cell sequencing of human white adipose tissue iden... 2021 2026 2022 2024 2021 2025 50 100 150 200

Peers

Feiyang Ma
Agnès Paquet United States
Nancy D. Kim United States
Outi Elomaa Finland
Naomi J. Logsdon United States
Igor Dozmorov United States
Yanal Ghosheh United States
Agnès Paquet United States
Feiyang Ma
Citations per year, relative to Feiyang Ma Feiyang Ma (= 1×) peers Agnès Paquet

Countries citing papers authored by Feiyang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Feiyang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyang Ma. A scholar is included among the top collaborators of Feiyang 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 Feiyang Ma. Feiyang Ma 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.
Tam, Kevin J., Feiyang Ma, Devin Brown, et al.. (2024). Lentiviral vectors for precise expression to treat X-linked lymphoproliferative disease. Molecular Therapy — Methods & Clinical Development. 32(4). 101323–101323. 3 indexed citations
2.
Li, Yan, et al.. (2024). Optimizing growth and antioxidant function in heat-stressed broilers with vitamin C and betaine supplementation. International Journal of Biometeorology. 68(10). 1953–1960. 3 indexed citations
3.
Zhu, Enbo, Jiaji Yu, Yan-Ruide Li, et al.. (2024). Biomimetic cell stimulation with a graphene oxide antigen-presenting platform for developing T cell-based therapies. Nature Nanotechnology. 19(12). 1914–1922. 12 indexed citations
4.
Fries, Anissa, Fanny Saidoune, François Kuonen, et al.. (2023). Differentiation of IL-26+ TH17 intermediates into IL-17A producers via epithelial crosstalk in psoriasis. Nature Communications. 14(1). 3878–3878. 32 indexed citations
5.
Dunn, Zachary Spencer, Yanqi Yu, Kuangyi Zhou, et al.. (2023). Unlocking the potential of allogeneic Vδ2 T cells for ovarian cancer therapy through CD16 biomarker selection and CAR/IL-15 engineering. Nature Communications. 14(1). 6942–6942. 23 indexed citations
6.
Palermo, Amelia, Shen Li, Johanna ten Hoeve, et al.. (2023). A ketogenic diet can mitigate SARS-CoV-2 induced systemic reprogramming and inflammation. Communications Biology. 6(1). 1115–1115. 6 indexed citations
7.
Wang, Yijie, Qihao Li, Bo Tao, et al.. (2023). Fibroblasts in heart scar tissue directly regulate cardiac excitability and arrhythmogenesis. Science. 381(6665). 1480–1487. 56 indexed citations
8.
Huang, Ying, Feiyang Ma, Fatma O. Kok, et al.. (2022). Heterogeneous pdgfrb+ cells regulate coronary vessel development and revascularization during heart regeneration. Development. 149(4). 7 indexed citations
9.
Billi, Allison C., Feiyang Ma, Olesya Plazyo, et al.. (2022). Nonlesional lupus skin contributes to inflammatory education of myeloid cells and primes for cutaneous inflammation. Science Translational Medicine. 14(642). eabn2263–eabn2263. 79 indexed citations
10.
Hernandez, Gloria E., Feiyang Ma, Guadalupe Martínez, et al.. (2022). Aortic intimal resident macrophages are essential for maintenance of the non-thrombogenic intravascular state. Nature Cardiovascular Research. 1(1). 67–84. 33 indexed citations
11.
Hernandez, Gloria E., Feiyang Ma, Matteo Pellegrini, et al.. (2022). Transcriptional Evaluation of the Ductus Arteriosus at the Single-Cell Level Uncovers a Requirement for Vim (Vimentin) for Complete Closure. Arteriosclerosis Thrombosis and Vascular Biology. 42(6). 732–742. 10 indexed citations
12.
Nadel, Brian B., David López, Dennis Montoya, et al.. (2021). The Gene Expression Deconvolution Interactive Tool (GEDIT): accurate cell type quantification from gene expression data. GigaScience. 10(2). 34 indexed citations
13.
Ma, Feiyang, Patrice A. Salomé, Sabeeha Merchant, & Matteo Pellegrini. (2021). Single-cell RNA sequencing of batch Chlamydomonas cultures reveals heterogeneity in their diurnal cycle phase. The Plant Cell. 33(4). 1042–1057. 25 indexed citations
14.
Ma, Feiyang, Travis K. Hughes, Rosane M. B. Teles, et al.. (2021). The cellular architecture of the antimicrobial response network in human leprosy granulomas. Nature Immunology. 22(7). 839–850. 61 indexed citations
15.
Link, Jenny C., Carrie B. Wiese, Xuqi Chen, et al.. (2020). X chromosome dosage of histone demethylase KDM5C determines sex differences in adiposity. Journal of Clinical Investigation. 130(11). 5688–5702. 69 indexed citations
16.
Browne, Luke, et al.. (2020). Experimental DNA Demethylation Associates with Changes in Growth and Gene Expression of Oak Tree Seedlings. G3 Genes Genomes Genetics. 10(3). 1019–1028. 15 indexed citations
17.
Hilfenhaus, Georg, Ana Mompeón, Divya P. Prajapati, et al.. (2020). A High-Content Screen Identifies Drugs That Restrict Tumor Cell Extravasation across the Endothelial Barrier. Cancer Research. 81(3). 619–633. 11 indexed citations
18.
Weiss, David I., Feiyang Ma, Alexander A. Merleev, et al.. (2019). IL-1β Induces the Rapid Secretion of the Antimicrobial Protein IL-26 from Th17 Cells. The Journal of Immunology. 203(4). 911–921. 22 indexed citations
19.
Andrade, Priscila R., Jing Lü, Rosane M. B. Teles, et al.. (2019). The cell fate regulator NUPR1 is induced by Mycobacterium leprae via type I interferon in human leprosy. PLoS neglected tropical diseases. 13(7). e0007589–e0007589. 11 indexed citations
20.
Hilfenhaus, Georg, Divya P. Prajapati, Feiyang Ma, et al.. (2018). Vav3-induced cytoskeletal dynamics contribute to heterotypic properties of endothelial barriers. The Journal of Cell Biology. 217(8). 2813–2830. 25 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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