Linghao Wang

497 citations
25 papers · 389 indexed · h-index 11

Impact in

    • Chronic Kidney Disease and Diabetes
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Inflammasome and immune disorders 4
    • Connective Tissue Growth Factor Research 2
    • Circular RNAs in diseases 2
    • Ginseng Biological Effects and Applications 2
    • TGF-β signaling in diseases 2
    • Autophagy in Disease and Therapy 2

Linghao Wang

23 papers receiving 379 citations

Peers

Linghao Wang
Comparison fields: 5 of 82
  • Nephrology 38
  • Cancer Research 71
  • Molecular Biology 217
  • Immunology 51
  • Pharmacology 21
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Citations per field
00.5×6.5×
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Citations per year

Countries citing papers authored by Linghao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linghao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 201562
3 201635
4 201734
5 201130
6 201027
7 201522
8
Fluorofenidone suppresses epithelial-mesenchymal transition and the expression of connective tissue growth factor via inhibiting TGF-beta/Smads signaling in human proximal tubular epithelial cells.
201121
9 201716
10 202410
11 201910
12 20247
13 20237
14 20146
15 20225
16 20184
17 20163
18 20212
19 20222
20 20232

About Linghao Wang

Linghao Wang is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Surgery and Computer Networks and Communications, having authored 25 papers that have together received 389 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), MicroRNA in disease regulation (3 papers), Connective Tissue Growth Factor Research (2 papers), Circular RNAs in diseases (2 papers), Ginseng Biological Effects and Applications (2 papers), Autophagy in Disease and Therapy (2 papers), TGF-β signaling in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Nephrology (38 citations), Cancer Research (71 citations), Molecular Biology (217 citations), Immunology (51 citations) and Pharmacology (21 citations). Linghao Wang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Ke Chen, Zhaohui Mo, Fang Wang, Xin-xing Wan, Zi Guo, Honghui He, Fang Wang, Gaoyun Hu, Qiongjing Yuan and Lijian Tao. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Journal of Nephrology, Cell Death Discovery, International journal of agricultural and biological engineering and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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