Di Wen

6.9k citations
75 papers · 5.8k indexed · 5 hit papers · h-index 38

Impact in

    • Advancements in Transdermal Drug Delivery
    • Advanced Drug Delivery Systems
  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Advancements in Transdermal Drug Delivery 7
    • Immunotherapy and Immune Responses 8
    • Invertebrate Immune Response Mechanisms 6
    • Immune cells in cancer 6

Di Wen

74 papers receiving 5.8k citations

Hit Papers

Bioorthogonal catalytic patch 2021 · 212 citations
2122018202620202023250500750

Peers

Di Wen
Comparison fields: 5 of 135
  • Pharmaceutical Science 1.0k
  • Immunology 1.5k
  • Biomaterials 901
  • Dermatology 421
  • Biomedical Engineering 2.0k
Replace Yanqi Ye with:
Yanqi Ye United States
Wujin Sun United States
Jinqiang Wang China
Hongjun Li China
Xudong Zhang China
Li‐Hua Peng China
José L. Jorcano Spain
Chae‐Ok Yun South Korea
Zicai Liang China
Di Wen relative to Yanqi Ye United States Yanqi Ye's profile →
Citations per field
00.5×1.5×
Yanqi Ye · 1×
Citations per year

Countries citing papers authored by Di Wen

Since Specialization
Citations

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

Fields of papers citing papers by Di Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20243
3 20237
4 20239
5 202218
6 202228
7 202162
8 2020205
9 202095
10 20202
11 201814
12 201832
13 201760
14 201750
15 20176
16 2016151
17 201643
18 201341
19 201053
20
Thrombin induced MO/MA differentiation into a M2 like subset with TAM characteristics in ovarian cancer.
20091

About Di Wen

Di Wen is a scholar working on Pharmaceutical Science, Immunology, Horticulture, Genetics and Neurology, having authored 75 papers that have together received 5.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Neurobiology and Insect Physiology Research (10 papers), Amyotrophic Lateral Sclerosis Research (10 papers), Immunotherapy and Immune Responses (8 papers), Advancements in Transdermal Drug Delivery (7 papers), RNA Interference and Gene Delivery (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Pharmaceutical Science (1.0k citations), Immunology (1.5k citations), Biomaterials (901 citations), Dermatology (421 citations) and Biomedical Engineering (2.0k citations). Di Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhen Gu, Jinqiang Wang, Quanyin Hu, Guojun Chen, Gianpietro Dotti, Xudong Zhang, Chao Wang, Qian Chen, Yanqi Ye and Zejun Wang. Their work appears in journals such as Journal of Controlled Release, Insect Biochemistry and Molecular Biology, BMC Genomics, Ecotoxicology and Environmental Safety and Advanced Materials.

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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