Jun Yong

7.7k citations
28 papers · 2.2k indexed · 1 hit paper · h-index 18

Impact in

    • Pluripotent Stem Cells Research
    • Single-cell and spatial transcriptomics
    • CRISPR and Genetic Engineering
    • Congenital heart defects research
    • Renal and related cancers
  • Hepatology top 5%

Papers in

    • Pluripotent Stem Cells Research 10
    • Single-cell and spatial transcriptomics 9
    • Renal and related cancers 6
    • CRISPR and Genetic Engineering 6
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 4
    • Congenital heart defects research 3

Jun Yong

27 papers receiving 2.1k citations

Hit Papers

Single-Cell Transcriptome Analysis Maps the Developmental Track of the Human Heart 2019 · 309 citations
3092019202620212023100200300

Peers

Jun Yong
Comparison fields: 5 of 101
  • Molecular Biology 1.8k
  • Hepatology 167
  • Developmental Neuroscience 78
  • Surgery 622
  • Cancer Research 180
Replace Lingsong Li with:
Lingsong Li China
Jan S. Tchorz Switzerland
Daniel Soong United Kingdom
Donghun Shin United States
Michelina Iacovino United States
Joy Kahn Israel
Paul H. Lerou United States
Franca Casagranda Australia
Frédéric Clotman Belgium
Anuradha Natarajan Austria
Jun Yong relative to Lingsong Li China Lingsong Li's profile →
Citations per field
00.5×3.1×
Lingsong Li · 1×
Citations per year

Countries citing papers authored by Jun Yong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202333
3 202156
4 202036
5 202090
6 202093
7 2019102
8
Single-Cell Transcriptome Analysis Maps the Developmental Track of the Human Heart
Hit paper breakdown →
2019309
9 201874
10 2018136
11 201681
12 201538
13 201541
14 201419
15 2009369
16 200814
17 2007254
18 20064
19 200516
20 200510

About Jun Yong

Jun Yong is a scholar working on Molecular Biology, Neurology, Developmental Neuroscience, Analytical Chemistry and Genetics, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Single-cell and spatial transcriptomics (9 papers), Renal and related cancers (6 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (4 papers), Reproductive Biology and Fertility (3 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Hepatology (167 citations), Developmental Neuroscience (78 citations), Surgery (622 citations) and Cancer Research (180 citations). Jun Yong has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Hongkui Deng, Fuchou Tang, Jie Qiao, Mingxiao Ding, Lu Wen, Liying Yan, Ji Dong, Xiaoying Fan, Yueli Cui and Wei Jiang. Their work appears in journals such as Cell Research, Cell Reports, Reproduction, Microchemical Journal and GigaScience.

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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