Renyuan Ma

404 citations
10 papers · 286 indexed · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases

Papers in

    • Genetic and phenotypic traits in livestock 5
    • Genetic Mapping and Diversity in Plants and Animals 4

Renyuan Ma

9 papers receiving 283 citations

Peers

Renyuan Ma
Comparison fields: 5 of 51
  • Cancer Research 137
  • Molecular Biology 169
  • Genetics 54
  • Pulmonary and Respiratory Medicine 60
  • Plant Science 59
Replace J. Fomina with:
J. Fomina Netherlands
Christine Stöhr Germany
Ruiping He China
Enshun Xu United States
Lechen Li China
Jessica M. Grindheim United States
Kai Zeng China
Zofia Wotschofsky Germany
Paula M. Godoy United States
Tim H‐M Huang United States
Renyuan Ma relative to J. Fomina Netherlands J. Fomina's profile →
Citations per field
00.5×10×15×20×23×
J. Fomina · 1×
Citations per year

Countries citing papers authored by Renyuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Renyuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 20229
2 202013
3 202011
4 20200
5 20208
6 20198
7 201945
8 20197
9 2018153
10 201832

About Renyuan Ma

Renyuan Ma is a scholar working on Genetics, Cancer Research, Pulmonary and Respiratory Medicine, Plant Science and Cell Biology, having authored 10 papers that have together received 286 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetics and Plant Breeding (3 papers), RNA modifications and cancer (2 papers), Prostate Cancer Treatment and Research (2 papers), Autophagy in Disease and Therapy (1 paper), Graphene research and applications (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (137 citations), Molecular Biology (169 citations), Genetics (54 citations), Pulmonary and Respiratory Medicine (60 citations) and Plant Science (59 citations). Renyuan Ma has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Shibo Wang, Ruidong Li, Zhenyu Jia, Han Qu, Julong Wei, Le Zhang, Jianming Lü, Jianguo Zhu, Weide Zhong and Weibo Xie. Their work appears in journals such as Heredity, Briefings in Bioinformatics, Frontiers in Oncology, International Journal of Biological Macromolecules and Molecular Biology and Evolution.

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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