Yahong Wang

3.7k citations
155 papers · 2.8k indexed · h-index 29

Impact in

Papers in

Yahong Wang

145 papers receiving 2.7k citations

Peers

Yahong Wang
Comparison fields: 5 of 154
  • Cancer Research 553
  • Health, Toxicology and Mutagenesis 364
  • Molecular Biology 1.1k
  • Molecular Medicine 72
  • Endocrinology 73
Replace Fei Song with:
Fei Song China
Junyi Wang China
Chao Huang China
Chen Tian China
Hongrui Guo China
Jingquan Li China
Jun Wu China
Dae‐Hee Lee South Korea
Cheng Zhang China
Ting Luo China
Yahong Wang relative to Fei Song China Fei Song's profile →
Citations per field
00.5×2.6×
Fei Song · 1×
Citations per year

Countries citing papers authored by Yahong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yahong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2015176
3 2007107
4 2018104
5 2014102
6 201178
7 201771
8 199969
9 200868
10 201761
11 201859
12 199259
13 201558
14 198958
15 201548
16 201546
17
AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells.
201545
18 201541
19 202039
20 201739

About Yahong Wang

Yahong Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Complementary and alternative medicine, having authored 155 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Traditional Chinese Medicine Analysis (6 papers), Vasculitis and related conditions (6 papers), Circular RNAs in diseases (5 papers), Aerosol Filtration and Electrostatic Precipitation (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Cancer Research (553 citations), Health, Toxicology and Mutagenesis (364 citations), Molecular Biology (1.1k citations), Molecular Medicine (72 citations) and Endocrinology (73 citations). Yahong Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gang Liu, Lawei Yang, Ziying Lin, Huijuan He, David W. Kamp, Tie Liu, Haili Huang, Honglin Luo, Jerry Wong and Xiaoning Si. Their work appears in journals such as Journal of Biological Chemistry, Evidence-based Complementary and Alternative Medicine, Clinical Rheumatology, Cancer Research and Physics of Fluids.

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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