Chi Ma

18.4k total citations · 2 hit papers
110 papers, 4.4k citations indexed

About

Chi Ma is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chi Ma has authored 110 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 27 papers in Immunology and 21 papers in Oncology. Recurrent topics in Chi Ma's work include Immune cells in cancer (14 papers), Immune Cell Function and Interaction (11 papers) and Liver Disease Diagnosis and Treatment (10 papers). Chi Ma is often cited by papers focused on Immune cells in cancer (14 papers), Immune Cell Function and Interaction (11 papers) and Liver Disease Diagnosis and Treatment (10 papers). Chi Ma collaborates with scholars based in United States, China and Germany. Chi Ma's co-authors include Tim F. Greten, Joyce L. Hamlin, Santosh R. D’Mello, José Medina‐Echeverz, Qianfei Zhang, Tobias Eggert, Mathias Heikenwälder, Firouzeh Korangy, Xin Wei Wang and Bernd Heinrich and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chi Ma

105 papers receiving 4.4k citations

Hit Papers

NAFLD causes selective CD4+ T lymphocyte loss and promote... 2016 2026 2019 2022 2016 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi Ma United States 34 2.1k 1.3k 1.0k 783 675 110 4.4k
Metsada Pasmanik‐Chor Israel 39 2.3k 1.0× 895 0.7× 703 0.7× 376 0.5× 773 1.1× 129 4.5k
Hyeseong Cho South Korea 36 2.4k 1.1× 525 0.4× 607 0.6× 849 1.1× 488 0.7× 105 4.1k
Roméo Ricci France 30 3.0k 1.4× 883 0.7× 867 0.9× 594 0.8× 517 0.8× 48 5.1k
Maria Laura Avantaggiati United States 34 3.0k 1.4× 388 0.3× 1.5k 1.5× 900 1.1× 762 1.1× 64 4.5k
Lijian Hui China 38 3.7k 1.7× 531 0.4× 820 0.8× 794 1.0× 791 1.2× 88 6.1k
Bangyan L. Stiles United States 30 3.1k 1.5× 335 0.3× 871 0.9× 635 0.8× 895 1.3× 57 4.7k
Stéphane Garcia France 36 1.9k 0.9× 422 0.3× 1.3k 1.3× 663 0.8× 858 1.3× 87 4.4k
Anton M. Bennett United States 42 5.3k 2.5× 1.6k 1.3× 857 0.9× 535 0.7× 1.3k 2.0× 97 6.9k
José C. Perales Spain 30 2.7k 1.2× 867 0.7× 606 0.6× 484 0.6× 989 1.5× 72 4.3k
Eiichiro Nishi Japan 28 1.4k 0.6× 701 0.6× 581 0.6× 273 0.3× 366 0.5× 59 3.2k

Countries citing papers authored by Chi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Ma. A scholar is included among the top collaborators of Chi 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 Chi Ma. Chi 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.
Ma, Chi, Aoshuang Xu, Liping Zuo, et al.. (2025). Methionine Dependency and Restriction in Cancer: Exploring the Pathogenic Function and Therapeutic Potential. Pharmaceuticals. 18(5). 640–640.
2.
Huang, Patrick, et al.. (2025). Hepatic immune environment differences among common mouse strains in models of MASH and liver cancer. JHEP Reports. 7(5). 101380–101380. 1 indexed citations
3.
Huang, Patrick, Xin Wang, Noémi Kedei, et al.. (2025). SPP1 + macrophages cause exhaustion of tumor-specific T cells in liver metastases. Nature Communications. 16(1). 4242–4242. 12 indexed citations
4.
Xiang, Yu, Yuwei Li, Yi Ji, et al.. (2025). Decoding Anxiety and/or Depressive Status in Functional Constipation: Insights From Surface‐Based Functional‐Structural Coupling Analysis. Neurogastroenterology & Motility. 37(9). e70050–e70050.
5.
Bauer, Kylynda C., et al.. (2024). Liver Cancer Neuroscience: Regulating Liver Tumors via Selective Hepatic Vagotomy. Methods and Protocols. 7(6). 99–99. 1 indexed citations
6.
Ma, Chi & Bertram Bengsch. (2024). Combining epigenetic modulation: the next step for HCC immunotherapy?. Gut. 74(7). 1033–1034. 2 indexed citations
7.
Ma, Siyi, Yiqing Zhu, Yuhao Zhang, et al.. (2024). Multi-omics and network pharmacology approaches reveal Gui-Ling-Ji alleviates oligoasthenoteratozoospermia by regulating arachidonic acid pathway. Phytomedicine. 135. 156184–156184. 4 indexed citations
8.
Ma, Chi, Nasha Zhang, Teng Wang, et al.. (2023). Inflammatory cytokine-regulated LNCPTCTS suppresses thyroid cancer progression via enhancing Snail nuclear export. Cancer Letters. 575. 216402–216402. 12 indexed citations
9.
Green, Benjamin L., Yuta Myojin, Chi Ma, et al.. (2023). Immunosuppressive CD29 + Treg accumulation in the liver in mice on checkpoint inhibitor therapy. Gut. 73(3). 509–520. 7 indexed citations
10.
Myojin, Yuta, Justin McCallen, Chi Ma, et al.. (2023). Adenosine A2a receptor inhibition increases the anti-tumor efficacy of anti-PD1 treatment in murine hepatobiliary cancers. JHEP Reports. 6(1). 100959–100959. 12 indexed citations
12.
McVey, John C., Benjamin L. Green, Benjamin Ruf, et al.. (2022). NAFLD indirectly impairs antigen-specific CD8+ T cell immunity against liver cancer in mice. iScience. 25(2). 103847–103847. 18 indexed citations
13.
Wabitsch, Simon, Justin McCallen, Olena Kamenyeva, et al.. (2022). Metformin treatment rescues CD8+ T-cell response to immune checkpoint inhibitor therapy in mice with NAFLD. Journal of Hepatology. 77(3). 748–760. 98 indexed citations
14.
Hung, Man‐Hsin, Joo Sang Lee, Chi Ma, et al.. (2021). Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma. Nature Communications. 12(1). 1455–1455. 163 indexed citations
15.
Zhu, Dandan, Huanle Zhang, Chi Ma, et al.. (2021). A Self-Assembling Amphiphilic Peptide Dendrimer-Based Drug Delivery System for Cancer Therapy. Pharmaceutics. 13(7). 1092–1092. 23 indexed citations
16.
Ruf, Benjamin, Simon Wabitsch, Chi Ma, et al.. (2021). Activating Mucosal-Associated Invariant T Cells Induces a Broad Antitumor Response. Cancer Immunology Research. 9(9). 1024–1034. 39 indexed citations
17.
Ma, Chi, et al.. (2021). The clinical and imaging features of cerebrotendinous xanthomatosis. Medicine. 100(9). e24687–e24687. 10 indexed citations
18.
Duffy, Austin G., Chi Ma, Susanna V. Ulahannan, et al.. (2017). Phase I and Preliminary Phase II Study of TRC105 in Combination with Sorafenib in Hepatocellular Carcinoma. Clinical Cancer Research. 23(16). 4633–4641. 68 indexed citations
19.
Liu, Ming, Feifei Huang, Dan Zhang, et al.. (2015). Heterochromatin Protein HP1γ Promotes Colorectal Cancer Progression and Is Regulated by miR-30a. Cancer Research. 75(21). 4593–4604. 86 indexed citations
20.
Medina‐Echeverz, José, Chi Ma, Austin G. Duffy, et al.. (2015). Systemic Agonistic Anti-CD40 Treatment of Tumor-Bearing Mice Modulates Hepatic Myeloid-Suppressive Cells and Causes Immune-Mediated Liver Damage. Cancer Immunology Research. 3(5). 557–566. 40 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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