Chaolan Pan

609 citations
38 papers · 397 · 1 hit paper · h-index 9

Impact in

Papers in

    • Skin and Cellular Biology Research 9
    • Virus-based gene therapy research 5
    • Genetic and rare skin diseases. 3

Chaolan Pan

35 papers receiving 392 citations

Chaolan Pan's Hit Papers

Emerging non-viral vectors for gene delivery 2023 · 194 citations
1940+1+2Years since publication50100150

Peers

Chaolan Pan
Comparison fields: 5 of 72
  • Molecular Biology 233
  • Molecular Medicine 16
  • Genetics 80
  • Cell Biology 38
  • Biomaterials 26
Replace Rima Kandil with:
Rima Kandil Germany
Michael P. Lockhart‐Cairns United Kingdom
Haritha Dhammika Samaranayake Finland
Madeline Y. Wong United States
Shuntao Luo China
Peter Karle Germany
Hajime Yurugi Germany
Jugal P. Dhandhukia United States
Arlette Duchesnay France
Xunming Zhang China
Chaolan Pan relative to Rima Kandil Germany Rima Kandil's profile →
Citations per field
00.5×2×4×6.6×
Rima Kandil · 1×
Citations per year

Countries citing papers authored by Chaolan Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chaolan Pan Line = papers co-authored together Chaolan Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging non-viral vectors for gene delivery
Hit paper breakdown →
2023194
2 202336
3 202224
4 202315
5 202315
6 202413
7 202212
8 202110
9 20239
10 20238
11 20227
12 20237
13 20246
14 20194
15 20253
16 20233
17 20253
18 20243
19 20242
20 20222

About Chaolan Pan

Chaolan Pan is a scholar working on Cell Biology, Genetics, Dermatology, Molecular Biology and Pathology and Forensic Medicine, having authored 38 papers that have together received 397 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (9 papers), RNA Interference and Gene Delivery (8 papers), RNA regulation and disease (5 papers), Virus-based gene therapy research (5 papers), Autoimmune Bullous Skin Diseases (3 papers), Dermatology and Skin Diseases (3 papers), Genetic and rare skin diseases. (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Molecular Biology (233 citations), Molecular Medicine (16 citations), Genetics (80 citations), Cell Biology (38 citations) and Biomaterials (26 citations). Chaolan Pan has collaborated with scholars based in China and United States. Frequent co-authors include Ming Li, Yitong Zhao, Haiyang Yong, Feifei Wang, Chenfei Wang, Wei He, Tao Bo, Bin Ma, Xiao‐Jiang Hao and Jue Yang. Their work appears in journals such as Journal of Controlled Release, Journal of Nanobiotechnology, British Journal of Dermatology, Dermatitis and The Journal of Dermatology.

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.

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