Yaping Yang

8.0k citations
37 papers · 654 · h-index 16

Impact in

    • Metabolism and Genetic Disorders
  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Mitochondrial Function and Pathology 7
    • RNA modifications and cancer 2
    • Genomics and Rare Diseases 12
    • Genomic variations and chromosomal abnormalities 6

Yaping Yang

35 papers receiving 648 citations

Peers

Yaping Yang
Comparison fields: 5 of 65
  • Clinical Biochemistry 76
  • Genetics 292
  • Molecular Biology 322
  • Pediatrics, Perinatology and Child Health 84
  • Endocrine and Autonomic Systems 25
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Yaping Yang relative to Morad Khayat Israel Morad Khayat's profile →
Citations per field
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Morad Khayat · 1×
Citations per year

Countries citing papers authored by Yaping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201374
2 201741
3 201135
4 201735
5 201535
6 202033
7 201532
8 201831
9 201730
10 201625
11 201922
12 201919
13 201718
14 202118
15 201916
16 201615
17 201515
18 201615
19 201314
20 202114

About Yaping Yang

Yaping Yang is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Neurology and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 654 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Mitochondrial Function and Pathology (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Metabolism and Genetic Disorders (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Genetic factors in colorectal cancer (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Clinical Biochemistry (76 citations), Genetics (292 citations), Molecular Biology (322 citations), Pediatrics, Perinatology and Child Health (84 citations) and Endocrine and Autonomic Systems (25 citations). Yaping Yang has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Christine M. Eng, Sarah H. Elsea, Fernando Scaglia, James R. Lupski, Christian P. Schaaf, Jill A. Rosenfeld, Matthew N. Bainbridge, Richard A. Gibbs, Magdalena Walkiewicz and Arthur L. Beaudet. Their work appears in journals such as Prenatal Diagnosis, Frontiers in Genetics, Genome Medicine, BMC Medical Genomics and Nature Genetics.

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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