Zhenwei Yang

944 citations
35 papers · 618 · h-index 13

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • Epigenetics and DNA Methylation 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 6

Zhenwei Yang

35 papers receiving 611 citations

Peers

Zhenwei Yang
Comparison fields: 5 of 90
  • Infectious Diseases 201
  • Neurology 135
  • Cancer Research 107
  • Critical Care and Intensive Care Medicine 30
  • Hepatology 37
Replace Mengzhen Dong with:
Mengzhen Dong China
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Zhenwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020242
2 202345
3 202239
4 201837
5 202029
6 202229
7 202324
8 202219
9 202016
10 202016
11 201916
12 202415
13 202314
14 202012
15 202210
16 20216
17 20235
18
[An experimental study on effects of pingyangmycin on vessels].
20015
19 20244
20 20204

About Zhenwei Yang

Zhenwei Yang is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 618 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Infectious Diseases (201 citations), Neurology (135 citations), Cancer Research (107 citations), Critical Care and Intensive Care Medicine (30 citations) and Hepatology (37 citations). Zhenwei Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiu Zhao, Jing Liu, Jialong Liu, Yunjiao Zhou, Xixian Zhao, Hailin Zhang, Mengna Zhang, Ye Tian, Kun Han and Jing Liu. Their work appears in journals such as BMC Cancer, Frontiers in Oncology, Journal of Molecular and Cellular Cardiology, Cancer Imaging and Gastrointestinal Endoscopy.

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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