Lingling Yang

198 papers receiving 5.5k citations

Peers

Lingling Yang
Comparison fields: 5 of 139
  • Geriatrics and Gerontology 260
  • Health, Toxicology and Mutagenesis 419
  • Computational Theory and Mathematics 433
  • Complementary and alternative medicine 227
  • Biochemistry 152
Replace Mohammad S. Mubarak with:
Mohammad S. Mubarak Jordan
Jing Zhang China
Xiaochi Ma China
Kexin Liu China
Ying‐Jan Wang Taiwan
Tsutomu Shimada Japan
Zdeněk Dvořák Czechia
Carmela Saturnino Italy
Keiji Wakabayashi Japan
Prokopios Magiatis Greece
Lingling Yang relative to Mohammad S. Mubarak Jordan Mohammad S. Mubarak's profile →
Citations per field
00.5×1.7×
Mohammad S. Mubarak · 1×
Citations per year

Countries citing papers authored by Lingling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007345
2 2002211
3 2014200
4 2019185
5 2013156
6 2021139
7 2020131
8 2003112
9
Effects of 6-gingerol, an antioxidant from ginger, on inducing apoptosis in human leukemic HL-60 cells.
200486
10 201380
11 200178
12 199775
13 200172
14 201071
15 200070
16 200370
17 202270
18 200567
19 201365
20 201665

About Lingling Yang

Lingling Yang is a scholar working on Geriatrics and Gerontology, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Pharmacology and Complementary and alternative medicine, having authored 208 papers that have together received 5.7k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (16 papers), Computational Drug Discovery Methods (16 papers), Synthesis and biological activity (11 papers), Heavy Metal Exposure and Toxicity (9 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Traditional Chinese Medicine Analysis (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Gold and Silver Nanoparticles Synthesis and Applications (7 papers). The work is most often cited by research in Geriatrics and Gerontology (260 citations), Health, Toxicology and Mutagenesis (419 citations), Computational Theory and Mathematics (433 citations), Complementary and alternative medicine (227 citations) and Biochemistry (152 citations). Lingling Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ching‐Chiung Wang, Lih-Geeng Chen, Guo‐Bo Li, Derong Cao, Lingyun WuRui Wang, Yan‐Yan Song, Zhida Gao, Shengyong Yang, Kun–Ying Yen and Linli Li. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Sensors and Actuators B Chemical and Molecules.

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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