Pan Du
Impact in
- Biotechnology top 5%
- Cancer Research and Treatments
- Nephrology top 10%
- Acute Kidney Injury Research
Papers in
-
- Cell death mechanisms and regulation 5
- Pluripotent Stem Cells Research 3
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Bingya Yang (10 shared papers)Zi‐Chun Hua (5 shared papers)Zichun Hua (7 shared papers)Yaohe Wang (6 shared papers)Wenhui Jiang (5 shared papers)Jianxiang Chen (4 shared papers)Lin Cao (1 shared paper)Jing Wei (3 shared papers)
- Journals
- PLoS ONE (2 papers)Molecular & Cellular Proteomics (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Biological Chemistry (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pan Du
36 papers receiving 666 citations
Peers
Comparison fields: 5 of 83
- Biotechnology 128
- Nephrology 39
- Cancer Research 66
- Molecular Biology 321
- Genetics 128
Countries citing papers authored by Pan Du
This map shows the geographic impact of Pan Du'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 Pan Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Du more than expected).
Fields of papers citing papers by Pan Du
This network shows the impact of papers produced by Pan Du. 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 Pan Du. The network helps show where Pan Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Du, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2017 | 61 | |
| 3 | 2008 | 60 | |
| 4 | 2012 | 56 | |
| 5 | 2011 | 51 | |
| 6 | 2017 | 38 | |
| 7 | 2013 | 37 | |
| 8 | 2011 | 29 | |
| 9 | 2022 | 27 | |
| 10 | 2016 | 25 | |
| 11 | 2012 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2006 | 18 | |
| 14 | 2015 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2009 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2014 | 8 |
About Pan Du
Pan Du is a scholar working on Molecular Biology, Cancer Research, Immunology, Biomedical Engineering and Surgery, having authored 37 papers that have together received 667 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Pluripotent Stem Cells Research (3 papers), Cancer Research and Treatments (3 papers), Phagocytosis and Immune Regulation (3 papers), Nanoplatforms for cancer theranostics (3 papers), Virus-based gene therapy research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biotechnology (128 citations), Nephrology (39 citations), Cancer Research (66 citations), Molecular Biology (321 citations) and Genetics (128 citations). Pan Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bingya Yang, Zi‐Chun Hua, Zichun Hua, Yaohe Wang, Wenhui Jiang, Jianxiang Chen, Lin Cao, Jing Wei, Anna Żuk and Bo Tang. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Gene.
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.