Dingyuan Ma

1.2k citations
56 papers · 798 · h-index 14

Impact in

Papers in

    • Sexual Differentiation and Disorders 6
    • Congenital heart defects research 4
    • RNA Interference and Gene Delivery 3
    • Genomic variations and chromosomal abnormalities 5
    • Virus-based gene therapy research 3
    • Genetics and Neurodevelopmental Disorders 3

Dingyuan Ma

53 papers receiving 775 citations

Peers

Dingyuan Ma
Comparison fields: 5 of 80
  • Pediatrics, Perinatology and Child Health 128
  • Clinical Biochemistry 43
  • Molecular Biology 439
  • Nephrology 39
  • Biotechnology 48
Replace Claudia Scotti with:
Claudia Scotti Italy
Jae Won Yun South Korea
Larry W. Estes United States
Ujjal K. Singha United States
T. Wiederholt Germany
Stephan Lobitz Germany
Yale Rabinowitz United States
Steven C. Mohos United States
Trevor H. Stenson Canada
Françoise Horand France
Dingyuan Ma relative to Claudia Scotti Italy Claudia Scotti's profile →
Citations per field
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Claudia Scotti · 1×
Citations per year

Countries citing papers authored by Dingyuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dingyuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 201758
3 200556
4 201840
5 200639
6 201438
7 202030
8 200628
9 201722
10 201417
11 201217
12 201517
13 200715
14 201314
15 201913
16 201613
17 201912
18 201512
19 201811
20 202110

About Dingyuan Ma

Dingyuan Ma is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Immunology, having authored 56 papers that have together received 798 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Sexual Differentiation and Disorders (6 papers), Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Congenital heart defects research (4 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (128 citations), Clinical Biochemistry (43 citations), Molecular Biology (439 citations), Nephrology (39 citations) and Biotechnology (48 citations). Dingyuan Ma has collaborated with scholars based in China, Germany and Sri Lanka. Frequent co-authors include Zhengfeng Xu, Ping Hu, Xiaowei Zhang, Weiwei Tang, Ping Zhang, Liying Peng, Ningyuan Sun, Jun Chen, Lin An and Zichun Hua. Their work appears in journals such as Frontiers in Genetics, Gene, Molecular Cytogenetics, Clinica Chimica Acta and Acta Pharmaceutica Sinica B.

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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