Guiling Wang

1.4k citations
58 papers · 1.0k · h-index 19

Impact in

Papers in

    • RNA Research and Splicing 4
    • Advanced biosensing and bioanalysis techniques 4
    • Cancer-related gene regulation 3
    • Immunotherapy and Immune Responses 3

Guiling Wang

55 papers receiving 1.0k citations

Peers

Guiling Wang
Comparison fields: 5 of 102
  • Molecular Medicine 62
  • Biomaterials 141
  • Cancer Research 151
  • Molecular Biology 655
  • Oncology 197
Replace Thangirala Sudha with:
Thangirala Sudha United States
Chinmayee Sethy India
Yunus Akkoç Türkiye
Na Luo China
Urarika Luesakul Thailand
Biagio Pucci Italy
Lili He China
Yifang Zou China
Yong-Qiu Mao China
Guiling Wang relative to Thangirala Sudha United States Thangirala Sudha's profile →
Citations per field
00.5×1.5×2.4×
Thangirala Sudha · 1×
Citations per year

Countries citing papers authored by Guiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 2008101
3 200880
4 201764
5 201356
6 201350
7 201544
8 201541
9 201539
10 202236
11 201731
12 201029
13 201223
14 202123
15 201720
16 201919
17 201918
18 202318
19 202218
20 201917

About Guiling Wang

Guiling Wang is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Oncology and Cell Biology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Luminescence and Fluorescent Materials (5 papers), Nanoparticle-Based Drug Delivery (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Molecular Medicine (62 citations), Biomaterials (141 citations), Cancer Research (151 citations), Molecular Biology (655 citations) and Oncology (197 citations). Guiling Wang has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Feng Li, Xinze Cai, Liu Cao, Maosheng Cheng, Zhi‐Feng Miao, Ying Xie, Jian Wang, Funan Liu, Xiaodong Li and Huimian Xu. Their work appears in journals such as Chinese Chemical Letters, Oncotarget, Biomedicine & Pharmacotherapy, Cell Death and Disease and Bioactive 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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