Dandan Wan

1.4k citations
17 papers · 996 · 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 983 citations

Dandan Wan's Hit Papers

Cancer vaccines as promising immuno-therapeutics: platforms and current progress 2022 · 516 citations
5160+1+2Years since publication100200300400500

Peers

Dandan Wan
Comparison fields: 5 of 82
  • Immunology 448
  • Biomaterials 158
  • Oncology 282
  • Biomedical Engineering 236
  • Molecular Biology 358
Replace Eilam Yeini with:
Eilam Yeini Israel
Roberta Carosio Italy
Félix Rueda Spain
Karthik Tiruthani United States
Shiguo Zhu China
Jonathan Wilhelm United States
Fazel Shokri Iran
Marta L. Pinto Portugal
Chayanon Ngambenjawong United States
Feifei Yang China
Dandan Wan relative to Eilam Yeini Israel Eilam Yeini's profile →
Citations per field
00.5×1.5×1.9×
Eilam Yeini · 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 →
2022516
2 202191
3 202174
4 201866
5 201854
6 201943
7 202139
8 201933
9 202222
10 202420
11 202015
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 996 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 (448 citations), Biomaterials (158 citations), Oncology (282 citations), Biomedical Engineering (236 citations) and Molecular Biology (358 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 Yue Qiu. Their work appears in journals such as Acta Biomaterialia, Journal of Controlled Release, Signal Transduction and Targeted Therapy, Journal of Molecular Cell Biology and Cancer Communications.

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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