Jun Wu
Impact in
- Aging top 1%
- Molecular Biology top 0.5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
Papers in
-
- Pluripotent Stem Cells Research 79
- CRISPR and Genetic Engineering 59
- Renal and related cancers 23
- Mitochondrial Function and Pathology 12
-
- Genetic Neurodegenerative Diseases 12
- Co-authors
- Juan Carlos Izpisúa Belmonte (26 shared papers)Ilya B. Bezprozvanny (13 shared papers)Ling Wang (1 shared paper)Jian Chu (1 shared paper)Masahiro Sakurai (13 shared papers)Leqian Yu (13 shared papers)Yulei Wei (9 shared papers)Pablo J. Ross (9 shared papers)
- Journals
- Cell (15 papers)Nature (13 papers)Cell stem cell (9 papers)Cell Research (7 papers)Protein & Cell (6 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Jun Wu
148 papers receiving 10.3k citations
Jun Wu's Hit Papers
Peers
Comparison fields: 5 of 185
- Aging 292
- Molecular Biology 7.7k
- Cellular and Molecular Neuroscience 949
- Business and International Management 105
- Genetics 1.4k
Countries citing papers authored by Jun Wu
This map shows the geographic impact of Jun Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu more than expected).
Fields of papers citing papers by Jun Wu
This network shows the impact of papers produced by Jun Wu. 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 Wu. The network helps show where Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wu, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration Hit paper breakdown → | 2016 | 937 |
| 2 | Derivation of Pluripotent Stem Cells with In Vivo Embryonic and Extraembryonic Potency Hit paper breakdown → | 2017 | 407 |
| 3 | 2006 | 386 | |
| 4 | 2017 | 381 | |
| 5 | Blastocyst-like structures generated from human pluripotent stem cells Hit paper breakdown → | 2021 | 380 |
| 6 | 2016 | 290 | |
| 7 | 2016 | 263 | |
| 8 | 2014 | 261 | |
| 9 | 2015 | 250 | |
| 10 | 2018 | 236 | |
| 11 | 2019 | 231 | |
| 12 | 2015 | 219 | |
| 13 | 2009 | 218 | |
| 14 | 2009 | 210 | |
| 15 | 2019 | 207 | |
| 16 | 2015 | 206 | |
| 17 | 2015 | 161 | |
| 18 | 2020 | 155 | |
| 19 | 2016 | 154 | |
| 20 | 2019 | 146 |
About Jun Wu
Jun Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Aging and Physiology, having authored 153 papers that have together received 10.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (79 papers), CRISPR and Genetic Engineering (59 papers), Renal and related cancers (23 papers), Animal Genetics and Reproduction (13 papers), Mitochondrial Function and Pathology (12 papers), Genetic Neurodegenerative Diseases (12 papers), Tissue Engineering and Regenerative Medicine (11 papers) and 3D Printing in Biomedical Research (9 papers). The work is most often cited by research in Aging (292 citations), Molecular Biology (7.7k citations), Cellular and Molecular Neuroscience (949 citations), Business and International Management (105 citations) and Genetics (1.4k citations). Jun Wu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Juan Carlos Izpisúa Belmonte, Ilya B. Bezprozvanny, Ling Wang, Jian Chu, Masahiro Sakurai, Leqian Yu, Yulei Wei, Pablo J. Ross, Daniel A. Schmitz and Min Xie. Their work appears in journals such as Cell, Nature, Cell stem cell, Cell Research and Protein & Cell.
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.