Junkui Ai
Impact in
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- Prostate Cancer Treatment and Research
Papers in
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- Ubiquitin and proteasome pathways 5
- Heat shock proteins research 3
- Cancer-related gene regulation 3
- RNA Research and Splicing 3
- Fibroblast Growth Factor Research 2
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- Prostate Cancer Treatment and Research 12
- Co-authors
- Zhou Wang (22 shared papers)Zhou Wang (3 shared papers)Javid A. Dar (7 shared papers)Joel B. Nelson (8 shared papers)Anthony J. Saporita (1 shared paper)Yujuan Wang (3 shared papers)June Liu (2 shared papers)Laura E. Pascal (11 shared papers)
- Journals
- The Prostate (6 papers)Neoplasia (3 papers)Endocrinology (2 papers)Cancer Letters (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Junkui Ai
27 papers receiving 584 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 106
- Pulmonary and Respiratory Medicine 216
- Molecular Biology 373
- Endocrinology, Diabetes and Metabolism 65
- Oncology 95
Countries citing papers authored by Junkui Ai
This map shows the geographic impact of Junkui Ai'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 Junkui Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkui Ai more than expected).
Fields of papers citing papers by Junkui Ai
This network shows the impact of papers produced by Junkui Ai. 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 Junkui Ai. The network helps show where Junkui Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junkui Ai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 106 | |
| 2 | 2007 | 65 | |
| 3 | 2013 | 46 | |
| 4 | 2007 | 33 | |
| 5 | 2012 | 30 | |
| 6 | 2009 | 30 | |
| 7 | 2005 | 26 | |
| 8 | 2016 | 24 | |
| 9 | 2011 | 24 | |
| 10 | 2011 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2011 | 21 | |
| 13 | 2015 | 21 | |
| 14 | 2017 | 16 | |
| 15 | 2010 | 15 | |
| 16 | 2013 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2014 | 12 | |
| 20 | 2013 | 10 |
About Junkui Ai
Junkui Ai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 599 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Ubiquitin and proteasome pathways (5 papers), Heat shock proteins research (3 papers), Cancer-related gene regulation (3 papers), RNA Research and Splicing (3 papers), Hormonal and reproductive studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (106 citations), Pulmonary and Respiratory Medicine (216 citations), Molecular Biology (373 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Oncology (95 citations). Junkui Ai has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Zhou Wang, Zhou Wang, Javid A. Dar, Joel B. Nelson, Anthony J. Saporita, Yujuan Wang, June Liu, Laura E. Pascal, Wuhan Xiao and Dan Wang. Their work appears in journals such as The Prostate, Neoplasia, Endocrinology, Cancer Letters and The Journal of Steroid Biochemistry and Molecular Biology.
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.