Panpan Cheng
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
- Genetics top 10%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
Papers in
-
- Histone Deacetylase Inhibitors Research 3
- Bioactive Natural Diterpenoids Research 2
- Glycosylation and Glycoproteins Research 2
-
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 3
- Co-authors
- Xiaoyang Jiao (3 shared papers)Mingtai Chen (8 shared papers)Fang Jiang (2 shared papers)Jing-Hua Lin (1 shared paper)Xuehua Wang (1 shared paper)Yingmu Cai (1 shared paper)Zhongquan Qi (9 shared papers)Lulu Liu (3 shared papers)
- Journals
- Journal of Neuroimmunology (2 papers)Diabetes (2 papers)Frontiers in Immunology (2 papers)Xenotransplantation (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Panpan Cheng
40 papers receiving 484 citations
Peers
Comparison fields: 5 of 89
- Hematology 105
- Genetics 79
- Immunology 70
- Cancer Research 34
- Surgery 84
Countries citing papers authored by Panpan Cheng
This map shows the geographic impact of Panpan Cheng'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 Panpan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panpan Cheng more than expected).
Fields of papers citing papers by Panpan Cheng
This network shows the impact of papers produced by Panpan Cheng. 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 Panpan Cheng. The network helps show where Panpan Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Panpan Cheng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 48 | |
| 2 | 2017 | 33 | |
| 3 | The effect of hepatitis B virus infection on hepcidin expression in hepatitis B patients. | 2013 | 31 |
| 4 | 2018 | 30 | |
| 5 | 2015 | 28 | |
| 6 | 2018 | 26 | |
| 7 | 2013 | 25 | |
| 8 | 2020 | 21 | |
| 9 | 2012 | 18 | |
| 10 | 2011 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 2011 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2025 | 11 | |
| 20 | 2011 | 10 |
About Panpan Cheng
Panpan Cheng is a scholar working on Molecular Biology, Immunology, Hematology, Genetics and Surgery, having authored 42 papers that have together received 491 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Mesenchymal stem cell research (5 papers), Pancreatic function and diabetes (4 papers), T-cell and B-cell Immunology (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Bioactive Natural Diterpenoids Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Phytochemistry and Bioactivity Studies (2 papers). The work is most often cited by research in Hematology (105 citations), Genetics (79 citations), Immunology (70 citations), Cancer Research (34 citations) and Surgery (84 citations). Panpan Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoyang Jiao, Mingtai Chen, Fang Jiang, Jing-Hua Lin, Xuehua Wang, Yingmu Cai, Zhongquan Qi, Lulu Liu, Xuehua Wang and Junjie Xia. Their work appears in journals such as Journal of Neuroimmunology, Diabetes, Frontiers in Immunology, Xenotransplantation 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.