Sha Ma

2.0k citations
81 papers · 1.2k indexed · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Sha Ma

74 papers receiving 1.2k citations

Peers

Sha Ma
Comparison fields: 5 of 145
  • Cancer Research 206
  • Genetics 102
  • Health 80
  • Immunology 187
  • Molecular Biology 578
Replace Shengnan Chen with:
Shengnan Chen China
Giovanni Neri Italy
Zhaoyang Li United States
Ge Lin China
Dan Su China
Yanwei Lin China
Karl Kingsley United States
Hiromi Kimura Japan
Phuong Bich Tran United States
Ping Zhu China
Sha Ma relative to Shengnan Chen China Shengnan Chen's profile →
Citations per field
00.5×3.1×
Shengnan Chen · 1×
Citations per year

Countries citing papers authored by Sha Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sha Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20247
4 20248
5 20241
6 20230
7 20230
8 20231
9 20231
10
Circular RNA 0060745, a Novel circRNA, Promotes Colorectal Cancer Cell Proliferation and Metastasis Through miR-4736 Sponging
20202
11 20207
12
Detection of antibiotics resistance and tetracycline resistance genes in Streptococcus agalactiae from tilapia in Guangxi.
20182
13 20183
14 20151
15 20147
16 20133
17
Determination of reserpine and yohimbine in Rauvolfia by high-performance liquid chromatography.
20102
18
The improved neutral network and its application for valuing rock mass mechanical parameter
20062
19 2000254
20
INSECT ECOLOGY IN THE PEOPLE'S REPUBLIC OF CHINA
19794

About Sha Ma

Sha Ma is a scholar working on Cancer Research, Rheumatology, Hematology, Immunology and Allergy and Immunology, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA and protein synthesis mechanisms (5 papers), CAR-T cell therapy research (5 papers), Intergenerational Family Dynamics and Caregiving (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Cancer Research (206 citations), Genetics (102 citations), Health (80 citations), Immunology (187 citations) and Molecular Biology (578 citations). Sha Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gerald Künstle, Masayuki Noguchi, Jarmo Laine, Toshiyuki Obata, Song Jin, Jun Lin, Lingqiang Chen, Hong Zhang, Jian Mei and Minmin Jiang. Their work appears in journals such as BMC Public Health, International Immunopharmacology, Journal of Biological Chemistry, RNA and International Journal of Pharmaceutics.

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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