Chao Ma

1.8k citations
91 papers · 1.2k indexed · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

Chao Ma

80 papers receiving 1.2k citations

Peers

Chao Ma
Comparison fields: 5 of 94
  • Cancer Research 473
  • Molecular Biology 620
  • Oncology 234
  • Pulmonary and Respiratory Medicine 269
  • Immunology 167
Replace Shingo Inaguma with:
Shingo Inaguma Japan
Marcin Braun Poland
Hidenori Kage Japan
Qi Xue China
Joo Heon Kim South Korea
Shu-Min Xiong China
Hiroyasu Kashima Japan
Chao Ma relative to Shingo Inaguma Japan Shingo Inaguma's profile →
Citations per field
00.5×1.5×2.1×
Shingo Inaguma · 1×
Citations per year

Countries citing papers authored by Chao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chao Ma Line = papers co-authored together Chao Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 202161
3 201754
4 202050
5 202149
6
MicroRNA-200c overexpression inhibits chemoresistance, invasion and colony formation of human pancreatic cancer stem cells.
201548
7 201542
8 201638
9 201538
10 201738
11 202037
12 202036
13 202033
14 201933
15
Expression of long non-coding RNA LOC285194 and its prognostic significance in human pancreatic ductal adenocarcinoma.
201429
16 202025
17 201624
18 202123
19 202122
20 201821

About Chao Ma

Chao Ma is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (21 papers), Cancer-related molecular mechanisms research (19 papers), Ferroptosis and cancer prognosis (16 papers), Myasthenia Gravis and Thymoma (9 papers), Epigenetics and DNA Methylation (6 papers), Glioma Diagnosis and Treatment (6 papers), Thyroid and Parathyroid Surgery (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (473 citations), Molecular Biology (620 citations), Oncology (234 citations), Pulmonary and Respiratory Medicine (269 citations) and Immunology (167 citations). Chao Ma has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Huan Luo, Jing Cao, Jinpo Yang, Feng Li, Lei Fan, Qian Wang, Huaiyin Shi, Lu Sun, Lixin Wei and Yanmin Zhang. Their work appears in journals such as Scientific Reports, Frontiers in Cell and Developmental Biology, Oncology Reports, BioMed Research International and Frontiers in Pharmacology.

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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