Hui Ling

8.2k citations
125 papers · 5.0k indexed · 1 hit paper · h-index 36

Hui Ling

121 papers receiving 4.9k citations

Hit Papers

MicroRNAs and other non-coding RNAs as targets for antica...1.2k20132026201720214008001.2k

Peers

Hui Ling
Comparison fields: 5 of 135
  • Cancer Research 2.6k
  • Molecular Biology 3.4k
  • Pharmacology 233
  • Oncology 717
  • Immunology 316
Replace Yin Xiong with:
Yin Xiong United States
Juan Lü China
Chiao‐Wen Lin Taiwan
Manoj Garg India
Chunhong Yan United States
Yuichiro Tanaka United States
Jichun Zhou China
Alexandru Irimie Romania
Naihan Xu China
Daniela Trisciuoglio Italy
Hui Ling relative to Yin Xiong United States Yin Xiong's profile →
Citations per field
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Yin Xiong · 1×
Citations per year

Countries citing papers authored by Hui Ling

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Ling. 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 Hui Ling. The network helps show where Hui Ling may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20240
4 20232
5 20231
6 20219
7 202012
8 201844
9 201738
10 201661
11 201653
12 201519
13 20159
14 201468
15 2014165
16 201420
17 201121
18 200826
19 20059
20
Inhibitory effect of diallyl disulfide on human gastric cancer cell line MGC803 in vitro
20033

About Hui Ling

Hui Ling is a scholar working on Cancer Research, Molecular Biology, Pharmacology, Oncology and Genetics, having authored 125 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (27 papers), MicroRNA in disease regulation (22 papers), Circular RNAs in diseases (15 papers), RNA modifications and cancer (13 papers), Garlic and Onion Studies (12 papers), Plant-derived Lignans Synthesis and Bioactivity (11 papers), Synthetic Organic Chemistry Methods (6 papers) and Phytochemical compounds biological activities (6 papers). The work is most often cited by research in Cancer Research (2.6k citations), Molecular Biology (3.4k citations), Pharmacology (233 citations), Oncology (717 citations) and Immunology (316 citations). Hui Ling has collaborated with scholars based in China, United States and Austria. Frequent co-authors include George A. Călin, Muller Fabbri, Martin Pichler, Masahisa Ohtsuka, Shi‐Wu Chen, Ioana Berindan‐Neagoe, Riccardo Fodde, Yaochun Zhang, Frank J. Slack and Ken R. Vincent. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences, Oncotarget, European Journal of Medicinal Chemistry and Clinica Chimica Acta.

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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