Cong Yu

672 citations
11 papers · 456 · h-index 7

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
    • Alzheimer's disease research and treatments

Papers in

    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 1
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 1

Cong Yu

8 papers receiving 453 citations

Peers

Cong Yu
Comparison fields: 5 of 63
  • Geriatrics and Gerontology 67
  • Physiology 50
  • Neurology 123
  • Neurology 68
  • Biological Psychiatry 16
Replace Dina Ivanyuk with:
Dina Ivanyuk Germany
Kelby M. Killoy United States
Vasiliki Panagiotakopoulou Germany
Ryan A. Doan United States
Soledad Matus Chile
Nicole E. Foxworth United States
John Wizeman United States
Junbing Wu China
Daniel B. Swartzlander United States
Lara Wahlster United States
Cong Yu relative to Dina Ivanyuk Germany Dina Ivanyuk's profile →
Citations per field
00.5×1.5×
Dina Ivanyuk · 1×
Citations per year

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018253
2 202095
3 202058
4 201616
5 201914
6 20258
7 20197
8 20235
9 20250
10 20250
11 20250

About Cong Yu

Cong Yu is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Oncology and Physiology, having authored 11 papers that have together received 456 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (1 paper), Circadian rhythm and melatonin (1 paper), Epigenetics and DNA Methylation (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Geriatrics and Gerontology (67 citations), Physiology (50 citations), Neurology (123 citations), Neurology (68 citations) and Biological Psychiatry (16 citations). Cong Yu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Michela Deleidi, Silvia De Cicco, Thomas Gasser, Vasiliki Panagiotakopoulou, Dina Ivanyuk, David C. Schöndorf, Pascale Baden, Alexander J. Whitworth, Sigrun Nestel and Marcus Keatinge. Their work appears in journals such as The Journal of Immunology, Neurobiology of Disease, Molecular & Cellular Proteomics, Biochemical and Biophysical Research Communications and Nature Metabolism.

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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