Xiangyi Ma

3.2k total citations
48 papers, 1.2k citations indexed

About

Xiangyi Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiangyi Ma has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Oncology and 10 papers in Immunology. Recurrent topics in Xiangyi Ma's work include Endometriosis Research and Treatment (7 papers), Nanoplatforms for cancer theranostics (5 papers) and Uterine Myomas and Treatments (5 papers). Xiangyi Ma is often cited by papers focused on Endometriosis Research and Treatment (7 papers), Nanoplatforms for cancer theranostics (5 papers) and Uterine Myomas and Treatments (5 papers). Xiangyi Ma collaborates with scholars based in China, United States and Singapore. Xiangyi Ma's co-authors include Liqiang Zhou, Ding Ma, Danfeng Luo, Shixuan Wang, Tian Wang, Jianfeng Zhou, Chen Wang, Guang Peng, Eddie C. Y. Wang and Ting Ding and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Xiangyi Ma

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyi Ma China 21 519 270 184 176 162 48 1.2k
André Schmidt Germany 17 494 1.0× 257 1.0× 127 0.7× 194 1.1× 149 0.9× 33 1.4k
Gilles Renault France 21 425 0.8× 299 1.1× 326 1.8× 64 0.4× 141 0.9× 53 1.3k
Mingrong Xi China 23 538 1.0× 283 1.0× 85 0.5× 200 1.1× 348 2.1× 91 1.5k
Zhiqing Liang China 21 439 0.8× 406 1.5× 80 0.4× 495 2.8× 187 1.2× 92 1.7k
Wei­min Kong China 17 433 0.8× 154 0.6× 61 0.3× 105 0.6× 302 1.9× 67 921
Wendy K. Nevala United States 23 624 1.2× 705 2.6× 83 0.5× 104 0.6× 142 0.9× 67 1.8k
Silvia Galbiati Italy 22 600 1.2× 104 0.4× 87 0.5× 139 0.8× 249 1.5× 54 1.4k
Min Gao China 21 332 0.6× 134 0.5× 105 0.6× 43 0.2× 97 0.6× 79 1.2k
Nara Yoon South Korea 17 331 0.6× 233 0.9× 56 0.3× 40 0.2× 146 0.9× 56 1.1k
Hirotaka Nishi Japan 26 926 1.8× 302 1.1× 63 0.3× 633 3.6× 444 2.7× 102 2.2k

Countries citing papers authored by Xiangyi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyi Ma. A scholar is included among the top collaborators of Xiangyi 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 Xiangyi Ma. Xiangyi 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.
Wang, Xiangyu, et al.. (2024). Lipid metabolism reprogramming in endometrial cancer: biological functions and therapeutic implications. Cell Communication and Signaling. 22(1). 436–436. 10 indexed citations
2.
Li, Yinuo, Xin Hou, Xiangyu Wang, & Xiangyi Ma. (2024). Clinical characteristics and treatment outcomes of patients with a septate uterus complicated by endometriosis. Journal of Gynecology Obstetrics and Human Reproduction. 53(8). 102806–102806.
3.
Wang, Shixuan, et al.. (2023). Efficacy of Bispecific Antibody Targeting EpCAM and CD3 for Immunotherapy in Ovarian Cancer Ascites: An Experimental Study. Current Medical Science. 43(3). 539–550. 3 indexed citations
4.
5.
Ding, Ting, Tian Wang, Jinjin Zhang, et al.. (2021). Analysis of Ovarian Injury Associated With COVID-19 Disease in Reproductive-Aged Women in Wuhan, China: An Observational Study. Frontiers in Medicine. 8. 635255–635255. 96 indexed citations
6.
7.
Li, Fei, Jiong Cai, Ying Zhou, et al.. (2019). Primary Preclinical and Clinical Evaluation of 68Ga-DOTA-TMVP1 as a Novel VEGFR-3 PET Imaging Radiotracer in Gynecological Cancer. Clinical Cancer Research. 26(6). 1318–1326. 13 indexed citations
8.
9.
Zou, Jun, Chen Wang, Xiangyi Ma, Eddie C. Y. Wang, & Guang Peng. (2017). APOBEC3B, a molecular driver of mutagenesis in human cancers. Cell & Bioscience. 7(1). 29–29. 59 indexed citations
10.
Li, Fei, Teng Cheng, Rui Wei, et al.. (2015). SPECT imaging of interleukin-6 receptor in ovarian tumor xenografts with a novel radiotracer of 99mTc-HYNIC-Aca-LSLITRL. Amino Acids. 48(1). 91–101. 8 indexed citations
11.
Li, Fei, Teng Cheng, Qingjian Dong, et al.. (2014). Evaluation of 99mTc-HYNIC-TMTP1 as a tumor-homing imaging agent targeting metastasis with SPECT. Nuclear Medicine and Biology. 42(3). 256–262. 34 indexed citations
12.
Li, X., Z. Li, Weibin Zhou, et al.. (2013). Overexpression of 4EBP1, p70S6K, Akt1 or Akt2 differentially promotes Coxsackievirus B3-induced apoptosis in HeLa cells. Cell Death and Disease. 4(9). e803–e803. 21 indexed citations
13.
Yang, Shuhong, Shuo Wang, Aiyue Luo, et al.. (2013). Expression Patterns and Regulatory Functions of MicroRNAs During the Initiation of Primordial Follicle Development in the Neonatal Mouse Ovary1. Biology of Reproduction. 89(5). 126–126. 72 indexed citations
14.
Ma, Xiangyi, Ling Xi, Danfeng Luo, et al.. (2012). Anti-Tumor Effects of the Peptide TMTP1-GG-D(KLAKLAK)2 on Highly Metastatic Cancers. PLoS ONE. 7(9). e42685–e42685. 30 indexed citations
15.
Fan, Liangsheng, Hongyan Wang, Xi Xia, et al.. (2012). Loss of E-cadherin promotes prostate cancer metastasis via upregulation of metastasis-associated gene 1 expression. Oncology Letters. 4(6). 1225–1233. 34 indexed citations
16.
Ma, Xiangyi, Danfeng Luo, Kezhen Li, et al.. (2012). Suppression of EphB4 improves the inhibitory effect of mTOR shRNA on the biological behaviors of ovarian cancer cells by down-regulating Akt phosphorylation. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(3). 358–363. 9 indexed citations
17.
Liu, Ronghua, Ling Xi, Danfeng Luo, et al.. (2012). Enhanced targeted anticancer effects and inhibition of tumor metastasis by the TMTP1 compound peptide TMTP1-TAT-NBD. Journal of Controlled Release. 161(3). 893–902. 39 indexed citations
18.
Yang, Wanhua, Danfeng Luo, Shixuan Wang, et al.. (2008). TMTP1, a Novel Tumor-Homing Peptide Specifically Targeting Metastasis. Clinical Cancer Research. 14(17). 5494–5502. 96 indexed citations
19.
Wang, Rui, Danfeng Luo, Xiangyi Ma, et al.. (2008). Antisense Ki-67 cDNA Transfection Reverses the Tumorigenicity and Induces Apoptosis in Human Breast Cancer Cells. Cancer Investigation. 26(8). 830–835. 3 indexed citations
20.
Han, Xiaobing, Ling Xi, Hui Wang, et al.. (2008). The potassium ion channel opener NS1619 inhibits proliferation and induces apoptosis in A2780 ovarian cancer cells. Biochemical and Biophysical Research Communications. 375(2). 205–209. 42 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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