Baowei Peng
Impact in
- Biotechnology top 10%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Hematology top 10%
- Hemophilia Treatment and Research
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Oncology 6
- CAR-T cell therapy research 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Yuhong Xu (12 shared papers)Carol H. Miao (3 shared papers)David J. Rawlings (3 shared papers)Hans D. Ochs (3 shared papers)Peiqing Ye (2 shared papers)Lingyun Xu (1 shared paper)Shunai Che (1 shared paper)Fang Guo (2 shared papers)
- Journals
- Blood (3 papers)Biochemical and Biophysical Research Communications (2 papers)International Journal of Pharmaceutics (2 papers)Pharmaceutical Research (2 papers)Vaccine (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Baowei Peng
25 papers receiving 559 citations
Peers
Comparison fields: 5 of 80
- Biotechnology 70
- Hematology 72
- Immunology 110
- Oncology 122
- Cancer Research 64
Countries citing papers authored by Baowei Peng
This map shows the geographic impact of Baowei Peng'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 Baowei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baowei Peng more than expected).
Fields of papers citing papers by Baowei Peng
This network shows the impact of papers produced by Baowei Peng. 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 Baowei Peng. The network helps show where Baowei Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Baowei Peng, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2013 | 59 | |
| 3 | 2009 | 55 | |
| 4 | 2011 | 49 | |
| 5 | 2008 | 45 | |
| 6 | 2006 | 44 | |
| 7 | 2009 | 41 | |
| 8 | 2005 | 36 | |
| 9 | 2005 | 36 | |
| 10 | 2021 | 27 | |
| 11 | 2023 | 17 | |
| 12 | 2024 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2013 | 8 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Baowei Peng
Baowei Peng is a scholar working on Molecular Biology, Oncology, Genetics, Biotechnology and Immunology, having authored 27 papers that have together received 564 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (4 papers), Virus-based gene therapy research (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Advancements in Transdermal Drug Delivery (3 papers), Transgenic Plants and Applications (3 papers), CAR-T cell therapy research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Biotechnology (70 citations), Hematology (72 citations), Immunology (110 citations), Oncology (122 citations) and Cancer Research (64 citations). Baowei Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuhong Xu, Carol H. Miao, David J. Rawlings, Hans D. Ochs, Peiqing Ye, Lingyun Xu, Shunai Che, Fang Guo, Haoquan Zheng and Chuanbo Gao. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, International Journal of Pharmaceutics, Pharmaceutical Research and Vaccine.
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.