Jun Wang
Impact in
- Molecular Biology top 0.01%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Genetics top 0.01%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 130
- Epigenetics and DNA Methylation 91
- RNA modifications and cancer 88
- Gut microbiota and health 78
- RNA Research and Splicing 63
- Cancer Research 204
- Cancer-related molecular mechanisms research 95
- Co-authors
- Ruiqiang Li (13 shared papers)Yingrui Li (26 shared papers)Karsten Kristiansen (11 shared papers)Tak‐Wah Lam (4 shared papers)Chang Yu (4 shared papers)Siu Ming Yiu (2 shared papers)Gane Ka‐Shu Wong (15 shared papers)Hongkun Zheng (10 shared papers)
- Journals
- PLoS ONE (55 papers)Nature Communications (45 papers)Nature Genetics (39 papers)Scientific Reports (38 papers)Nature (31 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Jun Wang
2.2k papers receiving 204.4k citations
Jun Wang's Hit Papers
Peers
Comparison fields: 5 of 236
- Molecular Biology 103.2k
- Genetics 40.5k
- Cancer Research 13.9k
- Plant Science 37.1k
- Biological Psychiatry 2.2k
Countries citing papers authored by Jun Wang
This map shows the geographic impact of Jun Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wang more than expected).
Fields of papers citing papers by Jun Wang
This network shows the impact of papers produced by Jun Wang. 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 Wang. The network helps show where Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 2.3k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12574 |
| 2 | A human gut microbial gene catalogue established by metagenomic sequencing Hit paper breakdown → | 2010 | 9189 |
| 3 | Enterotypes of the human gut microbiome Hit paper breakdown → | 2011 | 5859 |
| 4 | A metagenome-wide association study of gut microbiota in type 2 diabetes Hit paper breakdown → | 2012 | 5447 |
| 5 | SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler Hit paper breakdown → | 2012 | 4132 |
| 6 | Richness of human gut microbiome correlates with metabolic markers Hit paper breakdown → | 2013 | 3761 |
| 7 | A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. indica ) Hit paper breakdown → | 2002 | 3555 |
| 8 | SOAP2: an improved ultrafast tool for short read alignment Hit paper breakdown → | 2009 | 3102 |
| 9 | SOAP: short oligonucleotide alignment program Hit paper breakdown → | 2008 | 2810 |
| 10 | Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life Hit paper breakdown → | 2015 | 2645 |
| 11 | The tomato genome sequence provides insights into fleshy fruit evolution Hit paper breakdown → | 2012 | 2625 |
| 12 | WEGO: a web tool for plotting GO annotations Hit paper breakdown → | 2006 | 2389 |
| 13 | Phylogenomics resolves the timing and pattern of insect evolution Hit paper breakdown → | 2014 | 2049 |
| 14 | The oyster genome reveals stress adaptation and complexity of shell formation Hit paper breakdown → | 2012 | 1861 |
| 15 | The genome of the mesopolyploid crop species Brassica rapa Hit paper breakdown → | 2011 | 1750 |
| 16 | Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota Hit paper breakdown → | 2015 | 1738 |
| 17 | Human gut microbes impact host serum metabolome and insulin sensitivity Hit paper breakdown → | 2016 | 1716 |
| 18 | An integrated catalog of reference genes in the human gut microbiome Hit paper breakdown → | 2014 | 1634 |
| 19 | Mitochondrial outer-membrane protein FUNDC1 mediates hypoxia-induced mitophagy in mammalian cells Hit paper breakdown → | 2012 | 1423 |
| 20 | The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment Hit paper breakdown → | 2015 | 1351 |
About Jun Wang
Jun Wang is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Immunology, having authored 2.3k papers that have together received 208.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (130 papers), Cancer-related molecular mechanisms research (95 papers), Epigenetics and DNA Methylation (91 papers), RNA modifications and cancer (88 papers), Gut microbiota and health (78 papers), Chromosomal and Genetic Variations (74 papers), RNA Research and Splicing (63 papers) and Aquaculture disease management and microbiota (61 papers). The work is most often cited by research in Molecular Biology (103.2k citations), Genetics (40.5k citations), Cancer Research (13.9k citations), Plant Science (37.1k citations) and Biological Psychiatry (2.2k citations). Jun Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Ruiqiang Li, Yingrui Li, Karsten Kristiansen, Tak‐Wah Lam, Chang Yu, Siu Ming Yiu, Gane Ka‐Shu Wong, Hongkun Zheng, James F. Martin and Lars Bolund. Their work appears in journals such as PLoS ONE, Nature Communications, Nature Genetics, Scientific Reports and Nature.
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.