Sui‐Lin Mo

1.8k citations
30 papers · 1.4k · h-index 20

Impact in

Papers in

    • Bioactive natural compounds 3
    • Pharmacogenetics and Drug Metabolism 6
    • Flavonoids in Medical Research 3
    • Pharmacological Effects of Natural Compounds 3
    • Inflammatory mediators and NSAID effects 2

Sui‐Lin Mo

29 papers receiving 1.4k citations

Peers

Sui‐Lin Mo
Comparison fields: 5 of 101
  • Pharmacology 299
  • Complementary and alternative medicine 143
  • Applied Microbiology and Biotechnology 28
  • Cancer Research 197
  • Toxicology 44
Replace Shih-Lan Hsu with:
Shih-Lan Hsu Taiwan
Yujing Xia China
Javadi Monisha India
Kirti S. Prabhu Qatar
Young‐Joo Kim South Korea
Xia Gong China
Jen‐Jyh Lin Taiwan
Kazuyoshi Kawazoe Japan
Achinto Saha United States
Hyun Sun Lee South Korea
Sui‐Lin Mo relative to Shih-Lan Hsu Taiwan Shih-Lan Hsu's profile →
Citations per field
00.5×1.5×
Shih-Lan Hsu · 1×
Citations per year

Countries citing papers authored by Sui‐Lin Mo

Since Specialization
Citations

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

Fields of papers citing papers by Sui‐Lin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sui‐Lin Mo. 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 Sui‐Lin Mo. The network helps show where Sui‐Lin Mo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013203
2 2012178
3 2011139
4 2009110
5 201597
6 201266
7 201754
8 202153
9 201853
10 201648
11 201046
12 200942
13 200936
14 200934
15 201331
16 201130
17 201229
18 201024
19 201224
20 201421

About Sui‐Lin Mo

Sui‐Lin Mo is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Oncology and Cancer Research, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (3 papers), Flavonoids in Medical Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Bioactive natural compounds (3 papers), Cancer Genomics and Diagnostics (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Pharmacology (299 citations), Complementary and alternative medicine (143 citations), Applied Microbiology and Biotechnology (28 citations), Cancer Research (197 citations) and Toxicology (44 citations). Sui‐Lin Mo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhiyu Wang, Neng Wang, Yue-Yu Gu, Jianping Chen, Tjing Yung Loo, Ming Wei, Hai‐Bin Luo, Depo Yang, Hui Huang and Kamchuen Tsui. Their work appears in journals such as Current Drug Metabolism, Breast Cancer Research and Treatment, Pharmacology, Pharmacological Research and Acta Pharmaceutica Sinica B.

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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