John Yong

982 citations
8 papers · 579 · h-index 5

Impact in

    • Epigenetics and DNA Methylation
    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics
    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing
    • RNA modifications and cancer
  • Biophysics top 10%

Papers in

John Yong

7 papers receiving 573 citations

Peers

John Yong
Comparison fields: 5 of 85
  • Molecular Biology 492
  • Biophysics 40
  • Aging 9
  • Virology 13
  • Genetics 68
Replace Evan Geller with:
Evan Geller United States
Nicolas Dénervaud Switzerland
Marshall J. Levesque United States
Jessica L. Bonnar United States
Shane Marine United States
Bicna Song United States
Jennifer Y. Marciniak United States
Joseph G. Arthur United States
Marie-Cécile Robert France
João Paulo Tavanez Portugal
John Yong relative to Evan Geller United States Evan Geller's profile →
Citations per field
00.5×10×20×31.5×
Evan Geller · 1×
Citations per year

Countries citing papers authored by John Yong

Since Specialization
Citations

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

Fields of papers citing papers by John Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016305
2 2014214
3 201133
4 199915
5 19977
6 20233
7 20032
8 20220

About John Yong

John Yong is a scholar working on Molecular Biology, Hardware and Architecture, Organic Chemistry, Surgery and Computer Networks and Communications, having authored 8 papers that have together received 579 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Parallel Computing and Optimization Techniques (2 papers), Embedded Systems Design Techniques (2 papers), Gene Regulatory Network Analysis (2 papers), HIV Research and Treatment (1 paper), Lysosomal Storage Disorders Research (1 paper), Low-power high-performance VLSI design (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (492 citations), Biophysics (40 citations), Aging (9 citations), Virology (13 citations) and Genetics (68 citations). John Yong has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael B. Elowitz, Mitsuo Oshimura, Yasuhiro Kazuki, Narumi Uno, Yaron E. Antebi, Kayla McCue, Lacramioara Bintu, Long Cai, Alphan Altınok and M. Azim Surani. Their work appears in journals such as Science, IEEE Journal of Solid-State Circuits, Journal of Gastroenterology and Hepatology, Molecular Cell and eLife.

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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