Yahong Wang

3.8k citations
161 papers · 2.9k · h-index 30

Impact in

Papers in

Yahong Wang

149 papers receiving 2.9k citations

Peers

Yahong Wang
Comparison fields: 5 of 149
  • Cancer Research 483
  • Health, Toxicology and Mutagenesis 347
  • Molecular Medicine 76
  • Molecular Biology 1.1k
  • Endocrinology 73
Replace Fei Song with:
Fei Song China
Jacek Nikliński Poland
Junyi Wang China
Chao Huang China
Hongrui Guo China
Kazunori Hashimoto Japan
Chang Zhang China
Ting Luo China
Yuanlin Song China
Yahong Wang relative to Fei Song China Fei Song's profile →
Citations per field
00.5×2.7×
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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018195
2 2015184
3 2007115
4 2018110
5 2014106
6 201178
7 201773
8 199972
9 200872
10 201864
11 199263
12 201762
13 198959
14 201558
15 201550
16 201548
17
AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells.
201545
18 201541
19 201541
20 201741

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 161 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Cancer-related molecular mechanisms research (8 papers), Traditional Chinese Medicine Analysis (6 papers), Vasculitis and related conditions (5 papers), Autophagy in Disease and Therapy (5 papers), Aerosol Filtration and Electrostatic Precipitation (5 papers) and Occupational and environmental lung diseases (5 papers). The work is most often cited by research in Cancer Research (483 citations), Health, Toxicology and Mutagenesis (347 citations), Molecular Medicine (76 citations), Molecular Biology (1.1k 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, Xiaoning Si, Honglin Luo and Jerry Wong. Their work appears in journals such as Journal of Biological Chemistry, Evidence-based Complementary and Alternative Medicine, Scientific Reports, Clinical Rheumatology and Journal of Ultrasound in Medicine.

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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