Chun Pu
Impact in
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- Metal-Organic Frameworks: Synthesis and Applications
Papers in ⓘ
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- Renal and related cancers 3
- Epigenetics and DNA Methylation 3
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- Covalent Organic Framework Applications 5
- Co-authors
- Gang Feng (14 shared papers)Jialin Gao (7 shared papers)Ganggang Chang (11 shared papers)Yao Zhang (4 shared papers)Xiaoyu Yang (8 shared papers)Kexin Huang (5 shared papers)Guorong Li (3 shared papers)Shan‐Chao Ke (3 shared papers)
- Journals
- Disease Markers (4 papers)Chemical Engineering Journal (2 papers)Lipids in Health and Disease (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Chun Pu
35 papers receiving 479 citations
Peers
Comparison fields: 5 of 97
- Process Chemistry and Technology 18
- Inorganic Chemistry 82
- Cancer Research 77
- Endocrinology, Diabetes and Metabolism 52
- Nephrology 22
Countries citing papers authored by Chun Pu
This map shows the geographic impact of Chun Pu'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 Chun Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Pu more than expected).
Fields of papers citing papers by Chun Pu
This network shows the impact of papers produced by Chun Pu. 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 Chun Pu. The network helps show where Chun Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Pu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2021 | 41 | |
| 3 | 2017 | 36 | |
| 4 | 2017 | 34 | |
| 5 | 2013 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2008 | 26 | |
| 8 | 2012 | 23 | |
| 9 | 2019 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 12 | |
| 17 | A Cladistic Analysis of Quercus (Fagaceae)in China Based on Leaf Epidermis and Architecture | 2002 | 12 |
| 18 | 2013 | 10 | |
| 19 | 2017 | 8 | |
| 20 | 2013 | 8 |
About Chun Pu
Chun Pu is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Inorganic Chemistry and Cancer Research, having authored 38 papers that have together received 481 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Covalent Organic Framework Applications (5 papers), Renal cell carcinoma treatment (4 papers), Pancreatitis Pathology and Treatment (3 papers), Nanomaterials for catalytic reactions (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Renal and related cancers (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Process Chemistry and Technology (18 citations), Inorganic Chemistry (82 citations), Cancer Research (77 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Nephrology (22 citations). Chun Pu has collaborated with scholars based in China, United States and France. Frequent co-authors include Gang Feng, Jialin Gao, Ganggang Chang, Yao Zhang, Xiaoyu Yang, Kexin Huang, Guorong Li, Shan‐Chao Ke, Ge Tian and Long Cheng. Their work appears in journals such as Disease Markers, Chemical Engineering Journal, Lipids in Health and Disease, Analytical and Bioanalytical Chemistry 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.