Xiaoyan Pan
Impact in
- Hepatology top 5%
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
-
- Angiogenesis and VEGF in Cancer 14
- Protein Degradation and Inhibitors 8
-
- Click Chemistry and Applications 9
- Quinazolinone synthesis and applications 8
- Co-authors
- Ruimin Shen (3 shared papers)Minjuan Wang (3 shared papers)Jie Zhang (39 shared papers)Daniel Novák (1 shared paper)Sicen Wang (10 shared papers)Qinhua Chen (9 shared papers)Yuanyuan Shan (15 shared papers)Xiaoyu Xie (4 shared papers)
- Journals
- European Journal of Medicinal Chemistry (11 papers)Bioorganic Chemistry (6 papers)Bioorganic & Medicinal Chemistry (5 papers)Current Medicinal Chemistry (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaoyan Pan
131 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 156
- Hepatology 181
- Analytical Chemistry 152
- Epidemiology 482
- Molecular Biology 875
- Endocrinology, Diabetes and Metabolism 211
Countries citing papers authored by Xiaoyan Pan
This map shows the geographic impact of Xiaoyan 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 Xiaoyan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Pan more than expected).
Fields of papers citing papers by Xiaoyan Pan
This network shows the impact of papers produced by Xiaoyan 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 Xiaoyan Pan. The network helps show where Xiaoyan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 276 | |
| 2 | 2018 | 88 | |
| 3 | 2015 | 81 | |
| 4 | 2015 | 76 | |
| 5 | 2022 | 71 | |
| 6 | 2019 | 70 | |
| 7 | 2019 | 68 | |
| 8 | 2007 | 61 | |
| 9 | 2019 | 58 | |
| 10 | 2015 | 53 | |
| 11 | 2016 | 51 | |
| 12 | 2017 | 50 | |
| 13 | 2011 | 46 | |
| 14 | 2018 | 46 | |
| 15 | 2016 | 46 | |
| 16 | 2021 | 44 | |
| 17 | 2011 | 42 | |
| 18 | 2017 | 36 | |
| 19 | 2012 | 33 | |
| 20 | 2019 | 33 |
About Xiaoyan Pan
Xiaoyan Pan is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Oncology and Hematology, having authored 140 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Angiogenesis and VEGF in Cancer (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Click Chemistry and Applications (9 papers), Quinazolinone synthesis and applications (8 papers), Protein Degradation and Inhibitors (8 papers), Peptidase Inhibition and Analysis (8 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Hepatology (181 citations), Analytical Chemistry (152 citations), Epidemiology (482 citations), Molecular Biology (875 citations) and Endocrinology, Diabetes and Metabolism (211 citations). Xiaoyan Pan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ruimin Shen, Minjuan Wang, Jie Zhang, Daniel Novák, Sicen Wang, Qinhua Chen, Yuanyuan Shan, Xiaoyu Xie, Ming‐Hua Zheng and Chen Liang. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic Chemistry, Bioorganic & Medicinal Chemistry, Current Medicinal Chemistry and Oncotarget.
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.