Huawei Yang

1.3k citations
44 papers · 811 · h-index 15

Impact in

    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
    • Gut microbiota and health
    • Epigenetics and DNA Methylation
    • Melanoma and MAPK Pathways

Papers in

    • Melanoma and MAPK Pathways 6
    • RNA Interference and Gene Delivery 2
    • Mechanisms of cancer metastasis 2
    • FOXO transcription factor regulation 2
    • Breast Cancer Treatment Studies 6

Huawei Yang

41 papers receiving 794 citations

Peers

Huawei Yang
Comparison fields: 5 of 116
  • Cancer Research 109
  • Molecular Biology 418
  • Oncology 133
  • Pathology and Forensic Medicine 47
  • Pulmonary and Respiratory Medicine 81
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Hanping Wang China
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Huawei Yang relative to Xinghan Liu China Xinghan Liu's profile →
Citations per field
00.5×1.5×
Xinghan Liu · 1×
Citations per year

Countries citing papers authored by Huawei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018287
2 201784
3 200545
4 201630
5 201726
6 202025
7 201824
8 201723
9 201520
10 201519
11 201719
12 202017
13 201316
14 201716
15 201016
16 202113
17 201712
18 201211
19 201911
20 202111

About Huawei Yang

Huawei Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 44 papers that have together received 811 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Melanoma and MAPK Pathways (6 papers), Cancer Cells and Metastasis (4 papers), Cancer Mechanisms and Therapy (3 papers), RNA Interference and Gene Delivery (2 papers), HER2/EGFR in Cancer Research (2 papers), Mechanisms of cancer metastasis (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Cancer Research (109 citations), Molecular Biology (418 citations), Oncology (133 citations), Pathology and Forensic Medicine (47 citations) and Pulmonary and Respiratory Medicine (81 citations). Huawei Yang has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Jianlun Liu, Qiuyun Li, Yinan Ji, Xiaoyu Li, Tao Jing, Hongbo Wang, Xinyu Zhang, Xiujuan Zhu, Ziting Yao and Wei Wei. Their work appears in journals such as OncoTargets and Therapy, The Journal of Biochemistry, BioMed Research International, BMC Genetics and PLoS ONE.

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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