Liting Wang

138 papers receiving 2.8k citations

Liting Wang's Hit Papers

Exosome-liposome hybrid nanoparticle codelivery of TP and miR497 conspicuously overcomes chemoresistant ovarian cancer 2022 · 171 citations
1710+1+2Years since publication50100150

Peers

Liting Wang
Comparison fields: 5 of 160
  • Cancer Research 235
  • Biomaterials 221
  • Molecular Biology 880
  • Biomedical Engineering 548
  • Immunology 230
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Qiwen Wang China
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Liting Wang relative to Qiwen Wang China Qiwen Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007241
2
Exosome-liposome hybrid nanoparticle codelivery of TP and miR497 conspicuously overcomes chemoresistant ovarian cancer
Hit paper breakdown →
2022171
3 2020137
4 201395
5 202293
6 201982
7 202376
8 201475
9 202163
10 201058
11 201358
12 202057
13 201856
14 201655
15 201947
16 202245
17 201940
18 202140
19 201637
20 202336

About Liting Wang

Liting Wang is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Immunology and Electrical and Electronic Engineering, having authored 147 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Conducting polymers and applications (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Immunotherapy and Immune Responses (5 papers), Autophagy in Disease and Therapy (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Advanced Photocatalysis Techniques (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cancer Research (235 citations), Biomaterials (221 citations), Molecular Biology (880 citations), Biomedical Engineering (548 citations) and Immunology (230 citations). Liting Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yourong Duan, Hiroaki Kasai, Fwu‐Ling Lee, Feifei Yu, Xiaotong Li, Qianqian Guo, Chuanrong Chen, Zhihua Wu, Jiali Zhang and Chih‐Kang Chiang. Their work appears in journals such as Advances in Therapy, Biomaterials, PLoS ONE, International Journal of Molecular Sciences and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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