Shanshan Ma

4.6k citations
152 papers · 3.1k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Shanshan Ma

141 papers receiving 3.0k citations

Hit Papers

Aging and age‐related diseases: from mechanisms to therapeutic strategies 2021 · 369 citations
3692021202620222024100200300

Peers

Shanshan Ma
Comparison fields: 5 of 142
  • Aging 62
  • Biomaterials 459
  • Developmental Neuroscience 139
  • Molecular Medicine 160
  • Rehabilitation 216
Replace Hongjun Wang with:
Hongjun Wang United States
Andrea Caporali United Kingdom
Amelia Cataldi Italy
Shuo Wang China
Sai Ma China
Guosheng Fu China
Leila Roshangar Iran
Tan Zhang China
Monica Emanuelli Italy
Manfred Boehm United States
Shanshan Ma relative to Hongjun Wang United States Hongjun Wang's profile →
Citations per field
00.5×3.8×
Hongjun Wang · 1×
Citations per year

Countries citing papers authored by Shanshan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20247
5 20241
6 20243
7 20246
8 20248
9 202410
10 20242
11 20241
12 20231
13 202343
14 20227
15 20225
16 202267
17 20211
18 202017
19 202021
20 201948

About Shanshan Ma

Shanshan Ma is a scholar working on Genetics, Cancer Research, Molecular Medicine, Biological Psychiatry and Rehabilitation, having authored 152 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Cancer-related molecular mechanisms research (10 papers), Ferroptosis and cancer prognosis (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Epigenetics and DNA Methylation (9 papers), Wound Healing and Treatments (8 papers), Nerve injury and regeneration (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Aging (62 citations), Biomaterials (459 citations), Developmental Neuroscience (139 citations), Molecular Medicine (160 citations) and Rehabilitation (216 citations). Shanshan Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fangxia Guan, Minghao Yao, Yikun Ren, Zhe Li, Yingying Wang, Zhenkun Zhang, Jiarui Fang, Han Yue, Yanting Zhang and Dan Zhang. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Materials Chemistry B, Molecular Carcinogenesis, Materials Today Bio and Gels.

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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