Fangxue Ma

471 total citations
9 papers, 388 citations indexed

About

Fangxue Ma is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Fangxue Ma has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Fangxue Ma's work include Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). Fangxue Ma is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). Fangxue Ma collaborates with scholars based in China, Netherlands and France. Fangxue Ma's co-authors include Lu Yu, Lihui Ni, Wenjing Luan, Xudong Tang, Yanan An, Hongyue Xu, Xuefei Wang, Chao Wang, Haifeng Zhang and Weiying Guo and has published in prestigious journals such as The FASEB Journal, Applied Microbiology and Biotechnology and Leukemia.

In The Last Decade

Fangxue Ma

8 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangxue Ma China	6	251	69	51	46	44	9	388
Lihui Ni China	6	246 1.0×	68 1.0×	49 1.0×	46 1.0×	43 1.0×	7	376
Renlei Yang China	10	275 1.1×	65 0.9×	38 0.7×	52 1.1×	67 1.5×	11	481
Dong Zhan China	10	142 0.6×	45 0.7×	36 0.7×	22 0.5×	32 0.7×	19	338
Xiaojie Zhou China	13	200 0.8×	54 0.8×	35 0.7×	14 0.3×	78 1.8×	32	484
Kainat Khan India	13	255 1.0×	24 0.3×	37 0.7×	74 1.6×	28 0.6×	24	440
Bipradas Roy United States	10	187 0.7×	30 0.4×	83 1.6×	59 1.3×	48 1.1×	19	438
Yingquan Xiong China	11	211 0.8×	27 0.4×	26 0.5×	34 0.7×	74 1.7×	15	403
Sai Yao China	10	213 0.8×	45 0.7×	21 0.4×	30 0.7×	35 0.8×	20	408
Kenichi Mizutani Japan	11	217 0.9×	32 0.5×	62 1.2×	25 0.5×	36 0.8×	29	686
Dom‐Gene Tu Taiwan	12	129 0.5×	25 0.4×	53 1.0×	21 0.5×	42 1.0×	33	441

Countries citing papers authored by Fangxue Ma

Since Specialization

Citations

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

Fields of papers citing papers by Fangxue Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxue Ma

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Ma, Fangxue, Annemieke Kuil, Martin F. M. de Rooij, et al.. (2025). Presentation of CXCL12γ by heparan sulfate proteoglycans activates CXCR4 without desensitization in normal and malignant B cells. Blood Advances. 9(9). 2307–2320.

2.

Ma, Fangxue, Annemieke Kuil, Guang Yang, et al.. (2024). The dual HCK/BTK inhibitor KIN-8194 impairs growth and integrin-mediated adhesion of BTKi-resistant mantle cell lymphoma. Leukemia. 38(7). 1570–1580. 3 indexed citations

3.

Ma, Fangxue, Zhiqiang Yang, Chao Wang, et al.. (2021). Gene expression profile analysis and target gene discovery of Mycobacterium tuberculosis biofilm. Applied Microbiology and Biotechnology. 105(12). 5123–5134. 6 indexed citations

4.

Wang, Chao, Yanan An, Yang Wang, et al.. (2020). Insulin-like growth factor-I activates NFκB and NLRP3 inflammatory signalling via ROS in cancer cells. Molecular and Cellular Probes. 52. 101583–101583. 12 indexed citations

5.

Wang, Chao, Shulin Li, Yang Wang, et al.. (2020). Targeting IRS‐1/mPGES‐1/NOX2 to inhibit the inflammatory response caused by insulin‐like growth factor‐I‐induced activation of NF‐κB and NLRP3 in cancer cells. Veterinary and Comparative Oncology. 18(4). 689–698. 2 indexed citations

6.

An, Yanan, Haifeng Zhang, Chao Wang, et al.. (2019). Activation of ROS/MAPK s /NF‐ κ B/NLRP3 and inhibition of efferocytosis in osteoclast‐mediated diabetic osteoporosis. The FASEB Journal. 33(11). 12515–12527. 322 indexed citations

7.

Xu, Hongyue, Bingjie Wu, Xueyan Wang, et al.. (2019). Cordycepin regulates body weight by inhibiting lipid droplet formation, promoting lipolysis and recruiting beige adipocytes. Journal of Pharmacy and Pharmacology. 71(9). 1429–1439. 14 indexed citations

8.

Xu, Hongyue, Yuan Li, Lulu Gong, et al.. (2018). NAFLD Induction Delays Postoperative Liver Regeneration of ALPPS in Rats. Digestive Diseases and Sciences. 64(2). 456–468. 14 indexed citations

9.

Li, Yuan, Yan Li, Xueyan Wang, et al.. (2018). Cordycepin Modulates Body Weight by Reducing Prolactin Via an Adenosine A1 Receptor. Current Pharmaceutical Design. 24(27). 3240–3249. 15 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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