Guiying Wang

1.2k citations
46 papers · 747 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Ion channel regulation and function

Papers in

Guiying Wang

41 papers receiving 735 citations

Peers

Guiying Wang
Comparison fields: 5 of 97
  • Cancer Research 147
  • Molecular Biology 345
  • Biophysics 29
  • Oncology 118
  • Physiology 88
Replace Yuan Fan with:
Yuan Fan China
Pertteli Salmenperä Finland
Kibaek Choe South Korea
Tomohiro Suzuki Japan
Dongmei Gu China
Björn Koos Germany
Zhiqiang Xu China
Kai Miao China
Kritarth Singh India
Meixin Liu China
Guiying Wang relative to Yuan Fan China Yuan Fan's profile →
Citations per field
00.5×3.9×
Yuan Fan · 1×
Citations per year

Countries citing papers authored by Guiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 202166
3 202265
4 200963
5 201944
6 201540
7 201340
8 202133
9 202031
10 202226
11 201322
12 202121
13 202018
14 201818
15
[Effect of resveratrol on heart function of rats with adriamycin-induced heart failure].
200715
16 202014
17 202013
18 201612
19 201412
20 202211

About Guiying Wang

Guiying Wang is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 46 papers that have together received 747 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Immunotherapy and Immune Responses (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer-related molecular mechanisms research (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related cognitive impairment studies (2 papers), Caveolin-1 and cellular processes (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (147 citations), Molecular Biology (345 citations), Biophysics (29 citations), Oncology (118 citations) and Physiology (88 citations). Guiying Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lianmei Zhao, Chaoxi Zhou, Yang Yang, Guangjie Liu, Jiarui Yu, Jing Zhao, Xue Zhang, Yanhua Sun, Ming Li and Xuhua Hu. Their work appears in journals such as Carcinogenesis, Frontiers in Oncology, Scientific Reports, Neuroreport and Comparative Biochemistry and Physiology Part D Genomics and Proteomics.

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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