Chaolan Pan
Impact in
-
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
-
- RNA Interference and Gene Delivery 8
- RNA regulation and disease 4
- Advanced biosensing and bioanalysis techniques 3
- DNA Repair Mechanisms 2
-
- Skin and Cellular Biology Research 6
- melanin and skin pigmentation 2
- Co-authors
- Ming Li (18 shared papers)Haiyang Yong (4 shared papers)Yitong Zhao (6 shared papers)Wei He (3 shared papers)Feifei Wang (4 shared papers)Chenfei Wang (4 shared papers)Bin Ma (1 shared paper)Tao Bo (1 shared paper)
- Journals
- Journal of Nanobiotechnology (3 papers)Journal of Controlled Release (3 papers)The Journal of Dermatology (2 papers)Frontiers in Immunology (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- ChinaUnited StatesNorth Korea
In The Last Decade
Chaolan Pan
26 papers receiving 338 citations
Chaolan Pan's Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 218
- Molecular Medicine 14
- Genetics 75
- Biomaterials 26
- Cancer Research 24
Countries citing papers authored by Chaolan Pan
This map shows the geographic impact of Chaolan 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 Chaolan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaolan Pan more than expected).
Fields of papers citing papers by Chaolan Pan
This network shows the impact of papers produced by Chaolan 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 Chaolan Pan. The network helps show where Chaolan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaolan 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Emerging non-viral vectors for gene delivery Hit paper breakdown → | 2023 | 174 |
| 2 | 2023 | 34 | |
| 3 | 2022 | 22 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Chaolan Pan
Chaolan Pan is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Dermatology, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Skin and Cellular Biology Research (6 papers), Virus-based gene therapy research (5 papers), RNA regulation and disease (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), DNA Repair Mechanisms (2 papers), Dermatology and Skin Diseases (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Molecular Biology (218 citations), Molecular Medicine (14 citations), Genetics (75 citations), Biomaterials (26 citations) and Cancer Research (24 citations). Chaolan Pan has collaborated with scholars based in China, United States and North Korea. Frequent co-authors include Ming Li, Haiyang Yong, Yitong Zhao, Wei He, Feifei Wang, Chenfei Wang, Bin Ma, Tao Bo, Xiao‐Jiang Hao and Meijun Chen. Their work appears in journals such as Journal of Nanobiotechnology, Journal of Controlled Release, The Journal of Dermatology, Frontiers in Immunology and Pharmaceuticals.
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.