Jun Yan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 7
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- Prostate Cancer Treatment and Research 13
- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Binghe Wang (7 shared papers)Greg Springsteen (2 shared papers)Ruimin Huang (26 shared papers)Ming‐Jer Tsai (7 shared papers)Hao Fang (4 shared papers)Anton M. Jetten (6 shared papers)Bing Shen (12 shared papers)Hongqian Guo (9 shared papers)
- Journals
- Cancer Research (6 papers)Journal of Forensic Sciences (5 papers)The Journal of Organic Chemistry (4 papers)Journal of Biological Chemistry (4 papers)Oncogene (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Yan
158 papers receiving 6.2k citations
Jun Yan's Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 944
- Molecular Biology 1.8k
- Oncology 602
- Organic Chemistry 827
- Molecular Medicine 158
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun Yan. 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 Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yan, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The relationship among pKa, pH, and binding constants in the interactions between boronic acids and diols—it is not as simple as it appears Hit paper breakdown → | 2004 | 672 |
| 2 | 2015 | 225 | |
| 3 | 2005 | 203 | |
| 4 | 2011 | 202 | |
| 5 | 2005 | 163 | |
| 6 | 2007 | 143 | |
| 7 | 2014 | 136 | |
| 8 | 2013 | 133 | |
| 9 | 2017 | 133 | |
| 10 | 2015 | 128 | |
| 11 | 2023 | 118 | |
| 12 | 2009 | 115 | |
| 13 | 2014 | 107 | |
| 14 | 2017 | 103 | |
| 15 | 2006 | 99 | |
| 16 | 2018 | 98 | |
| 17 | 2008 | 94 | |
| 18 | 2017 | 94 | |
| 19 | 2012 | 88 | |
| 20 | 2015 | 85 |
About Jun Yan
Jun Yan is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Organic Chemistry and Oncology, having authored 165 papers that have together received 6.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Forensic and Genetic Research (9 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers), Glycosylation and Glycoproteins Research (7 papers), Bladder and Urothelial Cancer Treatments (7 papers), Asymmetric Synthesis and Catalysis (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (944 citations), Molecular Biology (1.8k citations), Oncology (602 citations), Organic Chemistry (827 citations) and Molecular Medicine (158 citations). Jun Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Binghe Wang, Greg Springsteen, Ruimin Huang, Ming‐Jer Tsai, Hao Fang, Anton M. Jetten, Bing Shen, Hongqian Guo, Xiaojing Huang and Junlong Zhuang. Their work appears in journals such as Cancer Research, Journal of Forensic Sciences, The Journal of Organic Chemistry, Journal of Biological Chemistry and Oncogene.
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.