Shun-Kai Yang

12 papers receiving 973 citations

Shun-Kai Yang's Hit Papers

Terpene Derivatives as a Potential Agent against Antimicrobial Resistance (AMR) Pathogens 2019 · 321 citations
3210+2+4Years since publication100200300

Peers

Shun-Kai Yang
Comparison fields: 5 of 105
  • Food Science 477
  • Molecular Medicine 112
  • Pharmacology 129
  • Applied Microbiology and Biotechnology 18
  • Complementary and alternative medicine 62
Replace Vivyanne S. Falcão‐Silva with:
Vivyanne S. Falcão‐Silva Brazil
Andrea Sudano Roccaro Italy
Polly Soo Xi Yap Malaysia
Beow Chin Yiap Malaysia
Rosina Khan India
Zsuzsanna Schelz Hungary
Juan Guzman United Kingdom
Karine Rigon Zimmer Brazil
Ravishankar Rai Vittal India
Fabíola Fernandes Galvão Rodrigues Brazil
Shun-Kai Yang relative to Vivyanne S. Falcão‐Silva Brazil Vivyanne S. Falcão‐Silva's profile →
Citations per field
00.5×4.7×
Vivyanne S. Falcão‐Silva · 1×
Citations per year

Countries citing papers authored by Shun-Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shun-Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun-Kai Yang. 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 Shun-Kai Yang. The network helps show where Shun-Kai Yang may publish in the future.

Co-authors

The 24 scholars most cited alongside Shun-Kai Yang, 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 Shun-Kai Yang Line = papers co-authored together Shun-Kai Yang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Terpene Derivatives as a Potential Agent against Antimicrobial Resistance (AMR) Pathogens
Hit paper breakdown →
2019321
2 2020109
3 202094
4 201779
5 201979
6 202166
7 201961
8 201754
9 202041
10 202136
11 202231
12 202011

About Shun-Kai Yang

Shun-Kai Yang is a scholar working on Food Science, Molecular Medicine, Molecular Biology, Pharmacology and Pharmacology, having authored 12 papers that have together received 982 indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (9 papers), Antibiotic Resistance in Bacteria (5 papers), Piperaceae Chemical and Biological Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Food Science (477 citations), Molecular Medicine (112 citations), Pharmacology (129 citations), Applied Microbiology and Biotechnology (18 citations) and Complementary and alternative medicine (62 citations). Shun-Kai Yang has collaborated with scholars based in Malaysia, United Arab Emirates and Ireland. Frequent co-authors include Swee‐Hua Erin Lim, Kok‐Song Lai, Aisha Abushelaibi, Chou Min Chong, Khatijah Yusoff, Chun Wie Chong, Adelene Ai‐Lian Song, Warren Thomas, Mokrish Ajat and Wai-Sum Yap. Their work appears in journals such as Molecules, Scientific Reports, Nature Communications, Journal of Pharmaceutical Analysis and Antioxidants.

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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