Qi Pan
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- Circular RNAs in diseases
- Genomics and Chromatin Dynamics
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related molecular mechanisms research 17
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- Diabetes Treatment and Management 19
- Co-authors
- Lixin Guo (33 shared papers)Weihao Wang (26 shared papers)Gang Li (10 shared papers)Honglei Chen (4 shared papers)Fuchun Chen (3 shared papers)Wen-Tao Wang (12 shared papers)Xue Zhang (1 shared paper)Yuyang Zeng (1 shared paper)
In The Last Decade
Qi Pan
296 papers receiving 10.9k citations
Qi Pan's Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 4.1k
- Cancer Research 741
- Molecular Medicine 253
- Genetics 947
- Oncology 698
Countries citing papers authored by Qi Pan
This map shows the geographic impact of Qi 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 Qi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Pan more than expected).
Fields of papers citing papers by Qi Pan
This network shows the impact of papers produced by Qi 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 Qi Pan. The network helps show where Qi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 312 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler Hit paper breakdown → | 2012 | 4169 |
| 2 | 2018 | 327 | |
| 3 | 2019 | 181 | |
| 4 | 2018 | 163 | |
| 5 | 2021 | 152 | |
| 6 | 2021 | 148 | |
| 7 | 2022 | 146 | |
| 8 | The Antidepressant Effects of GLP-1 Receptor Agonists: A Systematic Review and Meta-Analysis Hit paper breakdown → | 2023 | 129 |
| 9 | 2016 | 128 | |
| 10 | 2011 | 126 | |
| 11 | 2018 | 124 | |
| 12 | 2019 | 117 | |
| 13 | 2020 | 109 | |
| 14 | 2019 | 103 | |
| 15 | 2021 | 103 | |
| 16 | 2019 | 101 | |
| 17 | 2022 | 99 | |
| 18 | 2021 | 97 | |
| 19 | 2020 | 93 | |
| 20 | 2020 | 92 |
About Qi Pan
Qi Pan is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology, Hepatology and Physiology, having authored 312 papers that have together received 11k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Cancer-related molecular mechanisms research (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Pain Mechanisms and Treatments (10 papers), Genomics and Chromatin Dynamics (9 papers), Bone fractures and treatments (9 papers), Ferroptosis and cancer prognosis (9 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Cancer Research (741 citations), Molecular Medicine (253 citations), Genetics (947 citations) and Oncology (698 citations). Qi Pan has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Lixin Guo, Weihao Wang, Gang Li, Honglei Chen, Fuchun Chen, Wen-Tao Wang, Xue Zhang, Yuyang Zeng, Long Long and Yumeng Sun. Their work appears in journals such as Frontiers in Endocrinology, Nucleic Acids Research, Nature Communications, Frontiers in Genetics and Scientific Reports.
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.