Weiwei Tan

405 citations
12 papers · 319 · 1 hit paper · h-index 8

Impact in

Papers in

Weiwei Tan

12 papers receiving 316 citations

Weiwei Tan's Hit Papers

Dual-drug loaded polysaccharide-based self-healing hydrogels with multifunctionality for promoting diabetic wound healing 2023 · 145 citations
1450+1+2Years since publication4080120

Peers

Weiwei Tan
Comparison fields: 5 of 90
  • Rehabilitation 98
  • Molecular Medicine 38
  • Biomaterials 75
  • Occupational Therapy 13
  • Cancer Research 35
Replace Dalun Lv with:
Dalun Lv China
Sanjoy Saha United States
Futing Shu China
Huijuan Liao China
Chenyan Yu China
Т. А. Астрелина Russia
Jingsi Jiang China
Jiechao Xia China
Farhad Bazgir Germany
Weiwei Tan relative to Dalun Lv China Dalun Lv's profile →
Citations per field
00.5×1.5×2.1×
Dalun Lv · 1×
Citations per year

Countries citing papers authored by Weiwei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Dual-drug loaded polysaccharide-based self-healing hydrogels with multifunctionality for promoting diabetic wound healing
Hit paper breakdown →
2023145
2 201341
3 201532
4 202223
5 202418
6 199817
7 202516
8 202211
9 20087
10 20084
11 20144
12 20241

About Weiwei Tan

Weiwei Tan is a scholar working on Molecular Biology, Information Systems and Management, Renewable Energy, Sustainability and the Environment, Communication and Pharmacology, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Algal biology and biofuel production (2 papers), Technology Adoption and User Behaviour (2 papers), Online Learning and Analytics (1 paper), Online and Blended Learning (1 paper), Knowledge Management and Sharing (1 paper), Wound Healing and Treatments (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Rehabilitation (98 citations), Molecular Medicine (38 citations), Biomaterials (75 citations), Occupational Therapy (13 citations) and Cancer Research (35 citations). Weiwei Tan has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Liming Ge, Defu Li, Lei Zhao, Changdao Mu, Zhilang Xu, Bingchen Li, Yongqiang Zhang, Yan Xu, You Zhang and You Lü. Their work appears in journals such as Advanced Materials, Carbohydrate Polymers, Journal of Pharmaceutical and Biomedical Analysis, Frontiers in Public Health and Oncotarget.

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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