Yang Pan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- Genomics, phytochemicals, and oxidative stress
- RNA Research and Splicing
- Glutathione Transferases and Polymorphisms
Papers in
-
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
- Heat shock proteins research 3
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Tao Li (1 shared paper)Gang Su (1 shared paper)Xiaorong Li (1 shared paper)Hongjie Wang (1 shared paper)Zhimin Du (5 shared papers)Pengzhou Hang (5 shared papers)Jingjing Du (3 shared papers)Lihui Zhao (3 shared papers)
- Journals
- Molecular Informatics (2 papers)Scientific Reports (1 paper)OncoTargets and Therapy (1 paper)Free Radical Biology and Medicine (1 paper)BMC Immunology (1 paper)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Yang Pan
34 papers receiving 719 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 261
- Molecular Biology 498
- Neurology 39
- Sensory Systems 22
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Yang Pan
This map shows the geographic impact of Yang Pan'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 Yang Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Pan more than expected).
Fields of papers citing papers by Yang Pan
This network shows the impact of papers produced by Yang Pan. 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 Yang Pan. The network helps show where Yang Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Pan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2019 | 63 | |
| 3 | 2013 | 54 | |
| 4 | 2019 | 46 | |
| 5 | 2018 | 42 | |
| 6 | 2015 | 39 | |
| 7 | 2014 | 35 | |
| 8 | 2014 | 33 | |
| 9 | 2021 | 28 | |
| 10 | 2014 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2015 | 23 | |
| 14 | 2011 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2016 | 10 |
About Yang Pan
Yang Pan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 35 papers that have together received 729 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Computational Drug Discovery Methods (3 papers), Heat shock proteins research (3 papers), Protein Degradation and Inhibitors (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (261 citations), Molecular Biology (498 citations), Neurology (39 citations), Sensory Systems (22 citations) and Cardiology and Cardiovascular Medicine (88 citations). Yang Pan has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Tao Li, Gang Su, Xiaorong Li, Hongjie Wang, Zhimin Du, Pengzhou Hang, Jingjing Du, Lihui Zhao, Yuyang Zheng and Haopeng Sun. Their work appears in journals such as Molecular Informatics, Scientific Reports, OncoTargets and Therapy, Free Radical Biology and Medicine and BMC Immunology.
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.