W.S. Daniel Tan

1.8k citations
27 papers · 1.4k · h-index 19

Impact in

Papers in

    • Inflammasome and immune disorders 4
    • Inflammation biomarkers and pathways 3
    • Immune Cell Function and Interaction 3
    • IL-33, ST2, and ILC Pathways 3

W.S. Daniel Tan

26 papers receiving 1.3k citations

Peers

W.S. Daniel Tan
Comparison fields: 5 of 115
  • Complementary and alternative medicine 236
  • Biochemistry 109
  • Immunology 198
  • Pharmacology 78
  • Pulmonary and Respiratory Medicine 253
Replace Wupeng Liao with:
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W.S. Daniel Tan relative to Wupeng Liao Singapore Wupeng Liao's profile →
Citations per field
00.5×1.6×
Wupeng Liao · 1×
Citations per year

Countries citing papers authored by W.S. Daniel Tan

Since Specialization
Citations

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

Fields of papers citing papers by W.S. Daniel Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015266
2 2017140
3 2020136
4 2017135
5 2016111
6 201955
7 202049
8 201947
9 201847
10 201442
11 202041
12 201739
13 201738
14 201633
15 202032
16 202027
17 201624
18 202021
19 201819
20 202016

About W.S. Daniel Tan

W.S. Daniel Tan is a scholar working on Molecular Biology, Immunology, Complementary and alternative medicine, Physiology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Andrographolide Research and Applications (7 papers), Inflammasome and immune disorders (4 papers), Inflammation biomarkers and pathways (3 papers), Immune Cell Function and Interaction (3 papers), Pediatric health and respiratory diseases (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Complementary and alternative medicine (236 citations), Biochemistry (109 citations), Immunology (198 citations), Pharmacology (78 citations) and Pulmonary and Respiratory Medicine (253 citations). W.S. Daniel Tan has collaborated with scholars based in Singapore, France and United States. Frequent co-authors include W.S. Fred Wong, Wupeng Liao, Hong Yong Peh, Shuo Zhou, Dan Mei, Tze Khee Chan, Thai Tran, Han‐Ming Shen, Christina L. L. Chai and Bevin P. Engelward. Their work appears in journals such as Pharmacological Research, Current Opinion in Pharmacology, The Journal of Immunology, British Journal of Pharmacology and European Journal of Medicinal Chemistry.

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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