S-L Wang

656 citations
22 papers · 535 · h-index 7

Impact in

Papers in

S-L Wang

22 papers receiving 509 citations

Peers

S-L Wang
Comparison fields: 5 of 69
  • Nephrology 95
  • Endocrinology, Diabetes and Metabolism 120
  • Pharmacology 45
  • Ophthalmology 42
  • Cardiology and Cardiovascular Medicine 52
Replace Daniel P. K. Ng with:
Daniel P. K. Ng Singapore
Hye Jin Wang South Korea
Amanda Garza United States
Megumi Kanasaki Japan
Sohel Zaedi Japan
Kiyohiko Negishi Japan
Kazumi Tayama Japan
Charlotte H. Kimber United Kingdom
Olivia Turri Italy
S-L Wang relative to Daniel P. K. Ng Singapore Daniel P. K. Ng's profile →
Citations per field
00.5×1.5×
Daniel P. K. Ng · 1×
Citations per year

Countries citing papers authored by S-L Wang

Since Specialization
Citations

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

Fields of papers citing papers by S-L Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001238
2 200172
3 201069
4 200056
5 201822
6 199216
7 20219
8 20157
9 20227
10 20136
11 20195
12 19864
13
Polyhydroxylated Steroidal Sapogenins from Tupistra wattii
20034
14 20234
15 19933
16
State of the art of research on the attribute uncertainty in GIS data
20013
17 20233
18
CabC, an EF-hand calcium-binding protein, is involved in Ca2+-mediated regulation of spore germination and aerial hypha formatio
20082
19
Arsenic and metabolic syndrome
20102
20
A hierarchical case knowledge acquisition method for troubleshooting
20031

About S-L Wang

S-L Wang is a scholar working on Pharmacology, Pharmacology, Pathology and Forensic Medicine, Issues, ethics and legal aspects and Molecular Biology, having authored 22 papers that have together received 535 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Head and Neck Cancer Studies (1 paper), Epigenetics and DNA Methylation (1 paper), Inflammatory mediators and NSAID effects (1 paper), Nursing Diagnosis and Documentation (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Nephrology (95 citations), Endocrinology, Diabetes and Metabolism (120 citations), Pharmacology (45 citations), Ophthalmology (42 citations) and Cardiology and Cardiovascular Medicine (52 citations). S-L Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lynda K. Stevens, John Fuller, Xin Liu, Helen Martina Colhoun, P. H. Bennett, HARRY KEEN, E. T. Lee, Mei–Hsuan Lee, Pinpin Lin and Anthony J. Garro. Their work appears in journals such as Diabetologia, Rhinology Journal, British Journal of Cancer, Human & Experimental Toxicology and Drug Metabolism and Disposition.

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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