Ruoyu Ma

1.4k total citations · 1 hit paper
10 papers, 809 citations indexed

About

Ruoyu Ma is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ruoyu Ma has authored 10 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Ruoyu Ma's work include Immune cells in cancer (5 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Ruoyu Ma is often cited by papers focused on Immune cells in cancer (5 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Ruoyu Ma collaborates with scholars based in China, United Kingdom and United States. Ruoyu Ma's co-authors include Bin‐Zhi Qian, Annabel Black, Laura Gómez-Cuadrado, Valerie G. Brunton, Chengbin Zhang, Zhan Wang, Zhaoming Ye, Hui Zhang, Andrew H. Sims and Sandrine Prost and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Chemical Science.

In The Last Decade

Ruoyu Ma

10 papers receiving 798 citations

Hit Papers

Macrophage diversity in cancer revisited in the era of si... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoyu Ma China 8 372 360 345 130 90 10 809
Abhijit Aithal United States 12 218 0.6× 372 1.0× 428 1.2× 163 1.3× 77 0.9× 23 809
Nina Linde Germany 10 379 1.0× 452 1.3× 346 1.0× 160 1.2× 118 1.3× 17 884
Michela Croce Italy 21 510 1.4× 490 1.4× 436 1.3× 184 1.4× 45 0.5× 47 1.2k
Denarda Dangaj Laniti Switzerland 15 544 1.5× 703 2.0× 367 1.1× 186 1.4× 128 1.4× 31 1.1k
Benoît Thibault France 12 160 0.4× 312 0.9× 409 1.2× 185 1.4× 54 0.6× 21 797
Sharrell B. Lee United States 8 176 0.5× 321 0.9× 405 1.2× 212 1.6× 80 0.9× 9 801
Emily N. Arner United States 8 213 0.6× 175 0.5× 260 0.8× 148 1.1× 80 0.9× 10 567
Melisa J. Hamilton Canada 13 692 1.9× 320 0.9× 546 1.6× 169 1.3× 59 0.7× 14 1.3k
Lynsey A. Huxham Canada 13 195 0.5× 300 0.8× 276 0.8× 147 1.1× 134 1.5× 15 806
Earl Avramis United States 12 457 1.2× 711 2.0× 347 1.0× 62 0.5× 61 0.7× 15 986

Countries citing papers authored by Ruoyu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ruoyu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoyu Ma

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

All Works

10 of 10 papers shown
1.
Qian, Bin‐Zhi & Ruoyu Ma. (2025). Immune Microenvironment in Breast Cancer Metastasis. Advances in experimental medicine and biology. 1464. 413–432. 1 indexed citations
2.
Ma, Ruoyu, et al.. (2024). Macrophage heterogeneity in bone metastasis. Journal of bone oncology. 45. 100598–100598. 2 indexed citations
3.
Ma, Ruoyu, Annabel Black, & Bin‐Zhi Qian. (2022). Macrophage diversity in cancer revisited in the era of single-cell omics. Trends in Immunology. 43(7). 546–563. 353 indexed citations breakdown →
4.
Ma, Ruoyu, Hui Zhang, Xuefeng Li, et al.. (2020). Monocyte-derived macrophages promote breast cancer bone metastasis outgrowth. The Journal of Experimental Medicine. 217(11). 115 indexed citations
5.
Lee, Gilbert Aaron, Ching‐Mao Chang, Ruoyu Ma, et al.. (2020). Chinese herbal medicine SS-1 inhibits T cell activation and abrogates TH responses in Sjögren's syndrome. Journal of the Formosan Medical Association. 120(1). 651–659. 10 indexed citations
6.
Guo, Jing, Ruoyu Ma, Weiwei Yi, et al.. (2019). The transcription factor Zfp281 sustains CD4+ T lymphocyte activation through directly repressing Ctla-4 transcription. Cellular and Molecular Immunology. 17(12). 1222–1232. 12 indexed citations
7.
Subirós‐Funosas, Ramon, Nicole D. Barth, Lorena Mendive‐Tapia, et al.. (2019). Fluorogenic Trp(redBODIPY) cyclopeptide targeting keratin 1 for imaging of aggressive carcinomas. Chemical Science. 11(5). 1368–1374. 56 indexed citations
8.
Gómez-Cuadrado, Laura, et al.. (2017). Mouse models of metastasis: progress and prospects. Disease Models & Mechanisms. 10(9). 1061–1074. 214 indexed citations
9.
Cao, Wenqiang, Jing Guo, Xiaofeng Wen, et al.. (2016). CXXC finger protein 1 is critical for T-cell intrathymic development through regulating H3K4 trimethylation. Nature Communications. 7(1). 11687–11687. 36 indexed citations
10.
Najafabadi, Hamed S., et al.. (2016). The interaction of a Trypanosoma brucei KH-domain protein with a ribonuclease is implicated in ribosome processing. Molecular and Biochemical Parasitology. 211. 94–103. 10 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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