Nguan Soon Tan

18.0k citations
227 papers · 13.4k indexed · 2 hit papers · h-index 62

Nguan Soon Tan

223 papers receiving 13.2k citations

Hit Papers

Hydrogel dr...1762013202620172021100200300400

Peers

Nguan Soon Tan
Comparison fields: 5 of 158
  • Cancer Research 2.3k
  • Rehabilitation 652
  • Biomaterials 1.2k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Molecular Biology 5.9k
Replace Yasufumi Kaneda with:
Yasufumi Kaneda Japan
Marina Ziche Italy
Christian Dani France
Qingbo Xu United Kingdom
Kunio Matsumoto Japan
Yihai Cao Sweden
Elaine W. Raines United States
Louis Casteilla France
Satoshi Kimura Japan
Savita Khanna United States
Nguan Soon Tan relative to Yasufumi Kaneda Japan Yasufumi Kaneda's profile →
Citations per field
00.5×2.7×
Yasufumi Kaneda · 1×
Citations per year

Countries citing papers authored by Nguan Soon Tan

Since Specialization
Citations

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

Fields of papers citing papers by Nguan Soon Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4
Hydrogel dressings with intrinsic antibiofilm and antioxidative dual functionalities accelerate infected diabetic wound healingbreakdown →
2024176
5 202422
6 202227
7 202234
8 202126
9 202113
10 20207
11 201846
12 201714
13 201748
14 201531
15 201450
16 2011222
17 2009241
18 200435
19 200239
20 199947

About Nguan Soon Tan

Nguan Soon Tan is a scholar working on Rehabilitation, Cancer Research and Biomaterials, having authored 227 papers that have together received 13.4k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (34 papers), Peroxisome Proliferator-Activated Receptors (33 papers), Wound Healing and Treatments (22 papers), NF-κB Signaling Pathways (18 papers), Electrospun Nanofibers in Biomedical Applications (14 papers), Cellular Mechanics and Interactions (13 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Cancer Research (2.3k citations), Rehabilitation (652 citations) and Biomaterials (1.2k citations). Nguan Soon Tan has collaborated with scholars based in Singapore, Switzerland and France. Frequent co-authors include Walter Wahli, Béatrice Desvergne, Sander Kersten, Jeak Ling Ding, Liliane Michalik, Pascal Escher, Zehuan Liao, Stéphane Mandard, Pengcheng Zhu and Bow Ho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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