Shiqing Ma

3.9k citations
52 papers · 2.9k indexed · 2 hit papers · h-index 24

Shiqing Ma

50 papers receiving 2.9k citations

Hit Papers

Transcriptome-wide mapping reveals reversible and dynamic...5252015202620182022100200300400500

Peers

Shiqing Ma
Comparison fields: 5 of 106
  • Cancer Research 1.1k
  • Molecular Biology 2.0k
  • Biomaterials 380
  • Urology 100
  • Molecular Medicine 60
Replace Zhuo Wan with:
Zhuo Wan China
Zhen Tang China
Zongping Xie China
Xiaoping Bi China
Xiuhui Wang China
Yinghong Zhou Australia
Dianwen Song China
Lingyong Jiang China
Quan Huang China
Michaela Schulz‐Siegmund Germany
Shiqing Ma relative to Zhuo Wan China Zhuo Wan's profile →
Citations per field
00.5×10×16.7×
Zhuo Wan · 1×
Citations per year

Countries citing papers authored by Shiqing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shiqing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shiqing 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 Shiqing Ma Line = papers co-authored together Shiqing Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20254
5 20247
6 202312
7 202387
8 202212
9 202248
10 202230
11 202153
12 2020146
13 2019189
14 2019190
15 201739
16 2016138
17
Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylomebreakdown →
2016525
18 20154
19 201460
20
Expression of telomerase gene hTRT and its clinical significance in gastric cancer
20032

About Shiqing Ma

Shiqing Ma is a scholar working on Biomaterials, Urology and Microbiology, having authored 52 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (20 papers), Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (7 papers), RNA modifications and cancer (7 papers), Periodontal Regeneration and Treatments (7 papers), Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (5 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.0k citations) and Biomaterials (380 citations). Shiqing Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoyu Li, Chengqi Yi, Kun Wang, Jie Wu, Lixia Wang, Xushen Xiong, Xiaoting Shu, Jingwen Liu, Xiaoqian Qi and Lina Liu. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Healthcare Materials, Molecular Therapy — Nucleic Acids, Applied Surface Science and Biomaterials Research.

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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