Dandan Wan

1.4k citations
17 papers · 970 · 1 hit paper · h-index 11

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • Extracellular vesicles in disease 3
    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 3

Dandan Wan

16 papers receiving 957 citations

Dandan Wan's Hit Papers

Cancer vaccines as promising immuno-therapeutics: platforms and current progress 2022 · 501 citations
5010+1+2Years since publication100200300400500

Peers

Dandan Wan
Comparison fields: 5 of 81
  • Immunology 437
  • Biomaterials 149
  • Oncology 273
  • Biomedical Engineering 228
  • Molecular Biology 347
Replace Elizabeth E. Sweeney with:
Elizabeth E. Sweeney United States
Eilam Yeini Israel
Roberta Carosio Italy
Félix Rueda Spain
Karthik Tiruthani United States
Matthias Van Woensel Belgium
Jonathan Wilhelm United States
Shiguo Zhu China
Marta L. Pinto Portugal
Chayanon Ngambenjawong United States
Dandan Wan relative to Elizabeth E. Sweeney United States Elizabeth E. Sweeney's profile →
Citations per field
00.5×12×
Elizabeth E. Sweeney · 1×
Citations per year

Countries citing papers authored by Dandan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Cancer vaccines as promising immuno-therapeutics: platforms and current progress
Hit paper breakdown →
2022501
2 202189
3 202173
4 201864
5 201852
6 201943
7 202138
8 201932
9 202222
10 202420
11 202013
12 20129
13 20245
14 20244
15 20254
16 20231
17 20260

About Dandan Wan

Dandan Wan is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Biomaterials, having authored 17 papers that have together received 970 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Immunotherapy and Immune Responses (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Autophagy in Disease and Therapy (3 papers), Immune Response and Inflammation (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Immunology (437 citations), Biomaterials (149 citations), Oncology (273 citations), Biomedical Engineering (228 citations) and Molecular Biology (347 citations). Dandan Wan has collaborated with scholars based in China and Canada. Frequent co-authors include Xiawei Wei, Yuquan Wei, Manni Wang, Jian Liu, Minyang Fu, Man Li, Qin He, Weiqi Hong, Haiying Que and Zhirong Zhang. Their work appears in journals such as Journal of Controlled Release, Acta Biomaterialia, Signal Transduction and Targeted Therapy, Computer Methods and Programs in Biomedicine and Acta Pharmaceutica Sinica B.

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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