Yang Luo

8.1k citations
43 papers · 995 · h-index 18

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic and Kidney Cyst Diseases
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Yang Luo

37 papers receiving 980 citations

Peers

Yang Luo
Comparison fields: 5 of 100
  • Genetics 284
  • Immunology 169
  • Molecular Biology 456
  • Endocrinology, Diabetes and Metabolism 85
  • Neurology 42
Replace Mark E. Samuels with:
Mark E. Samuels Canada
Myung K. Shin United States
Mohammad Mardani Iran
Konstantin Yakimchuk Sweden
Akira Awaya Japan
Pascale Hilbert Belgium
M Farrall United Kingdom
Jacinthe Sirois Canada
Woon Kyu Lee South Korea
Ran Jing China
Yang Luo relative to Mark E. Samuels Canada Mark E. Samuels's profile →
Citations per field
00.5×3.8×
Mark E. Samuels · 1×
Citations per year

Countries citing papers authored by Yang Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yang Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DNA polymorphisms and conditions for SSCP analysis of the 20 exons of the ret proto-oncogene.
1994142
2 202288
3 202276
4 199374
5 202070
6 200960
7 202258
8 202157
9 202156
10 201946
11 201828
12 202123
13 200822
14 201221
15 202220
16 202318
17 202218
18 201918
19 201516
20 200613

About Yang Luo

Yang Luo is a scholar working on Molecular Biology, Genetics, Immunology, Renewable Energy, Sustainability and the Environment and Pathology and Forensic Medicine, having authored 43 papers that have together received 995 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (4 papers), Electrocatalysts for Energy Conversion (4 papers), Spinal Cord Injury Research (4 papers), Genomics and Phylogenetic Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Single-cell and spatial transcriptomics (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Genetics (284 citations), Immunology (169 citations), Molecular Biology (456 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Neurology (42 citations). Yang Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Soumya Raychaudhuri, Robert M.W. Hofstra, Renata Bocciardi, Isabella Ceccherini, Kazuyoshi Ishigaki, Tiffany Amariuta, Marco Seri, Harm Nijveen, Virginia Barone and Alessandra Bolino. Their work appears in journals such as Nature Communications, Scientific Reports, Royal Society Open Science, Nature and Journal of Alloys and Compounds.

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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