Jun Ni
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
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- Plant Reproductive Biology
- CRISPR and Genetic Engineering
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 4
- CRISPR and Genetic Engineering 3
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- Microtubule and mitosis dynamics 6
- Co-authors
- Steven E. Clark (3 shared papers)Yongfeng Guo (2 shared papers)Stephen C. Ekker (3 shared papers)Huiyan Jin (1 shared paper)Karl J. Clark (2 shared papers)Xueding Wang (4 shared papers)Hao Lei (4 shared papers)Long Yu (7 shared papers)
- Journals
- Molecular Biology Reports (4 papers)Biomedical Optics Express (3 papers)PLANT PHYSIOLOGY (2 papers)BMB Reports (2 papers)Journal of Intelligent Manufacturing (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jun Ni
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Cell Biology 142
- Molecular Biology 590
- Plant Science 290
- Parasitology 41
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Jun Ni
This map shows the geographic impact of Jun Ni'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 Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ni more than expected).
Fields of papers citing papers by Jun Ni
This network shows the impact of papers produced by Jun Ni. 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 Ni. The network helps show where Jun Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ni, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 138 | |
| 2 | 2006 | 138 | |
| 3 | 2010 | 69 | |
| 4 | 2011 | 65 | |
| 5 | 2011 | 61 | |
| 6 | 2004 | 43 | |
| 7 | 2016 | 40 | |
| 8 | 2020 | 38 | |
| 9 | 2005 | 36 | |
| 10 | 2014 | 34 | |
| 11 | 2019 | 32 | |
| 12 | 2018 | 28 | |
| 13 | 2006 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2005 | 26 | |
| 16 | 2008 | 25 | |
| 17 | 2007 | 22 | |
| 18 | 2007 | 21 | |
| 19 | 2005 | 21 | |
| 20 | 1994 | 20 |
About Jun Ni
Jun Ni is a scholar working on Molecular Biology, Cell Biology, Industrial and Manufacturing Engineering, Mechanical Engineering and Plant Science, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Ubiquitin and proteasome pathways (4 papers), Industrial Vision Systems and Defect Detection (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (142 citations), Molecular Biology (590 citations), Plant Science (290 citations), Parasitology (41 citations) and Industrial and Manufacturing Engineering (40 citations). Jun Ni has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Steven E. Clark, Yongfeng Guo, Stephen C. Ekker, Huiyan Jin, Karl J. Clark, Xueding Wang, Hao Lei, Long Yu, Robert J. Denver and Xiaohong Wang. Their work appears in journals such as Molecular Biology Reports, Biomedical Optics Express, PLANT PHYSIOLOGY, BMB Reports and Journal of Intelligent Manufacturing.
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.