Hsin‐I Ma

1.7k total citations
18 papers, 492 citations indexed

About

Hsin‐I Ma is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hsin‐I Ma has authored 18 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hsin‐I Ma's work include MicroRNA in disease regulation (3 papers), Virus-based gene therapy research (2 papers) and Glioma Diagnosis and Treatment (2 papers). Hsin‐I Ma is often cited by papers focused on MicroRNA in disease regulation (3 papers), Virus-based gene therapy research (2 papers) and Glioma Diagnosis and Treatment (2 papers). Hsin‐I Ma collaborates with scholars based in Taiwan, United States and Hong Kong. Hsin‐I Ma's co-authors include Yueh Chien, Chiung‐Chyi Shen, Meng‐Yin Yang, Yi‐Ping Yang, Hsu‐Tung Lee, Mong‐Lien Wang, Ming-Teh Chen, Chian‐Shiu Chien, Pang‐Hsien Tu and Shi‐Yuan Cheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Hsin‐I Ma

18 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hsin‐I Ma Taiwan	11	337	146	116	87	66	18	492
Sanna‐Maria Hede Sweden	6	352 1.0×	154 1.1×	199 1.7×	159 1.8×	45 0.7×	6	571
Zhuanyi Yang China	12	333 1.0×	205 1.4×	153 1.3×	158 1.8×	32 0.5×	39	573
Sean Tsao United States	8	275 0.8×	153 1.0×	107 0.9×	161 1.9×	41 0.6×	14	587
Chaomei Xiang United States	11	369 1.1×	120 0.8×	90 0.8×	62 0.7×	43 0.7×	15	538
Tihomira I. Todorova United States	10	362 1.1×	137 0.9×	64 0.6×	103 1.2×	137 2.1×	15	661
Kara M. Foshay United States	12	446 1.3×	257 1.8×	92 0.8×	104 1.2×	66 1.0×	15	652
Usha Nagavarapu United States	10	343 1.0×	94 0.6×	105 0.9×	55 0.6×	57 0.9×	13	611
Ivy Paw United States	5	314 0.9×	106 0.7×	94 0.8×	86 1.0×	39 0.6×	5	444
Barbara Costa Germany	13	228 0.7×	60 0.4×	134 1.2×	81 0.9×	84 1.3×	15	530
Young-Woo Sohn South Korea	9	366 1.1×	227 1.6×	182 1.6×	154 1.8×	60 0.9×	13	574

Countries citing papers authored by Hsin‐I Ma

Since Specialization

Citations

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

Fields of papers citing papers by Hsin‐I Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsin‐I Ma

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

All Works

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18 of 18 papers shown

Wu, Hsin‐Yu, Kao-Jung Chang, Ximiao Wen, et al.. (2022). Characterizing deep brain biosignals: The advances and applications of implantable MEMS-based devices. Materials Today Advances. 16. 100322–100322. 2 indexed citations

Yang, Yi‐Ping, Liang‐Ting Lin, Yi‐Wei Chen, et al.. (2022). Strategic Decoy Peptides Interfere with MSI1/AGO2 Interaction to Elicit Tumor Suppression Effects. Cancers. 14(3). 505–505. 1 indexed citations

Liu, Ching-Ann, Wei‐Hsiu Liu, Hsin‐I Ma, et al.. (2022). Interstitial Control-Released Polymer Carrying a Targeting Small-Molecule Drug Reduces PD-L1 and MGMT Expression in Recurrent High-Grade Gliomas with TMZ Resistance. Cancers. 14(4). 1051–1051. 5 indexed citations

Yang, Yi‐Ping, Chian‐Shiu Chien, Aliaksandr A. Yarmishyn, et al.. (2021). Musashi-1 Regulates MIF1-Mediated M2 Macrophage Polarization in Promoting Glioblastoma Progression. Cancers. 13(8). 1799–1799. 16 indexed citations

Hueng, Dueng‐Yuan, et al.. (2021). Thoracic Intradural Extramedullary Lipomas. SHILAP Revista de lepidopterología. 41(6). 312–314. 1 indexed citations

Yarmishyn, Aliaksandr A., Yi‐Ping Yang, Kai-Hsi Lu, et al.. (2020). Musashi-1 promotes cancer stem cell properties of glioblastoma cells via upregulation of YTHDF1. Cancer Cell International. 20(1). 597–597. 55 indexed citations

Chien, Yueh, et al.. (2020). Improvement of Impaired Motor Functions by Human Dental Exfoliated Deciduous Teeth Stem Cell-Derived Factors in a Rat Model of Parkinson’s Disease. International Journal of Molecular Sciences. 21(11). 3807–3807. 42 indexed citations

Ma, Hsin‐I, et al.. (2016). 219. Investigation of the Role of Decorin Gene (DCN) in Glioblastoma and Cancer Stem Cells (CSCs). Molecular Therapy. 24. S86–S86. 1 indexed citations

Chen, Chien‐Min, et al.. (2014). Midkine expression in high grade gliomas: Correlation of this novel marker with proliferation and survival in human gliomas. Surgical Neurology International. 5(1). 78–78. 11 indexed citations

10.

Lin, Yu‐Ching, Cheng‐Hsin Liu, Yating Wang, et al.. (2014). USP11 regulates PML stability to control Notch-induced malignancy in brain tumours. Nature Communications. 5(1). 16167–16167. 87 indexed citations

11.

Yang, Meng‐Yin, Ming‐Tsang Chiao, Hsu‐Tung Lee, et al.. (2014). An innovative three‐dimensional gelatin foam culture system for improved study of glioblastoma stem cell behavior. Journal of Biomedical Materials Research Part B Applied Biomaterials. 103(3). 618–628. 9 indexed citations

12.

Yang, Meng‐Yin, Ming-Teh Chen, Pin‐I Huang, et al.. (2014). Nuclear Localization Signal-Enhanced Polyurethane-Short Branch Polyethylenimine-Mediated Delivery of Let-7a Inhibited Cancer Stem-Like Properties by Targeting the 3′-UTR of HMGA2 in Anaplastic Astrocytoma. Cell Transplantation. 24(8). 1431–1450. 14 indexed citations

13.

Lin, Hung‐Che, Wen‐Yen Huang, Shyi‐Jou Chen, et al.. (2014). Whether the Spetzler-Martin grading scale is adequate to children with intracranial arteriovenous malformations?. Journal of Medical Sciences. 34(3). 104–104. 2 indexed citations

14.

Yang, Meng‐Yin, et al.. (2014). Celecoxib Suppresses the Phosphorylation of STAT3 Protein and Can Enhance the Radiosensitivity of Medulloblastoma-Derived Cancer Stem-Like Cells. International Journal of Molecular Sciences. 15(6). 11013–11029. 50 indexed citations

15.

Chiou, Guang‐Yuh, Chian‐Shiu Chien, Mong‐Lien Wang, et al.. (2013). Epigenetic Regulation of the miR142-3p/Interleukin-6 Circuit in Glioblastoma. Molecular Cell. 52(5). 693–706. 81 indexed citations

16.

Tsai, Wen‐Chiuan, et al.. (2012). The association of osteopontin and LMX1A expression with World Health Organization grade in meningiomas and gliomas. Histopathology. 61(5). 844–856. 18 indexed citations

17.

Chang, Chia‐Ming, Yin Chen, Ping‐Yi Wu, et al.. (2010). Differential antitumor effect of interleukin‐12 family cytokines on orthotopic hepatocellular carcinoma. The Journal of Gene Medicine. 12(5). 423–434. 28 indexed citations

18.

Yiin, Jia‐Jean, Bo Hu, Michael J. Jarzynka, et al.. (2009). Slit2 inhibits glioma cell invasion in the brain by suppression of Cdc42 activity. Neuro-Oncology. 11(6). 779–789. 69 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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