Pan Dan

932 citations
21 papers · 748 · h-index 11

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 7
    • Nanoparticle-Based Drug Delivery 3
    • Polymer crystallization and properties 5
    • Polymer Foaming and Composites 3

Pan Dan

20 papers receiving 735 citations

Peers

Pan Dan
Comparison fields: 5 of 91
  • Biomaterials 322
  • Molecular Medicine 75
  • Pharmaceutical Science 67
  • Polymers and Plastics 136
  • Rehabilitation 64
Replace Mohammad Sadegh Nourbakhsh with:
Mohammad Sadegh Nourbakhsh Iran
Ali Samadi Iran
Jeong Ok Lim South Korea
Bon Kang Gu South Korea
Krishna Burugapalli United Kingdom
Neslihan Alemdar Türkiye
Ewa Kijeńska‐Gawrońska Poland
Min Sup Kim South Korea
Tejal V. Patil South Korea
Seol‐Ha Jeong South Korea
Pan Dan relative to Mohammad Sadegh Nourbakhsh Iran Mohammad Sadegh Nourbakhsh's profile →
Citations per field
00.5×2.8×
Mohammad Sadegh Nourbakhsh · 1×
Citations per year

Countries citing papers authored by Pan Dan

Since Specialization
Citations

This map shows the geographic impact of Pan Dan'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 Pan Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Dan more than expected).

Fields of papers citing papers by Pan Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pan Dan. 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 Pan Dan. The network helps show where Pan Dan may publish in the future.

Co-authors

The 25 scholars most cited alongside Pan Dan, 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 Pan Dan Line = papers co-authored together Pan Dan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017169
2 2012130
3 201775
4 201569
5 201855
6 201952
7 202152
8 201747
9 201629
10 201612
11 201911
12 201610
13 20198
14 20187
15 20185
16 20174
17 20134
18 20203
19 20183
20 20213

About Pan Dan

Pan Dan is a scholar working on Biomaterials, Polymers and Plastics, Biomedical Engineering, Surgery and Surfaces, Coatings and Films, having authored 21 papers that have together received 748 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (7 papers), Polymer crystallization and properties (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Polymer Foaming and Composites (3 papers), Bone Tissue Engineering Materials (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Biomaterials (322 citations), Molecular Medicine (75 citations), Pharmaceutical Science (67 citations), Polymers and Plastics (136 citations) and Rehabilitation (64 citations). Pan Dan has collaborated with scholars based in China, France and Switzerland. Frequent co-authors include Patrick Menu, Robin Augustine, Didier Rouxel, Alejandro Sosnik, Zheng Wang, Ying Wan, Jie Chen, Véronique Decot, Émilie Velot and Nguyen Tran. Their work appears in journals such as Journal of Applied Polymer Science, ACS Biomaterials Science & Engineering, Macromolecular Materials and Engineering, Fibers and Polymers and International Journal of Pharmaceutics.

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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