Yang Ying

702 citations
40 papers · 510 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • RNA Research and Splicing 2
    • TGF-β signaling in diseases 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 3

Yang Ying

39 papers receiving 499 citations

Peers

Yang Ying
Comparison fields: 5 of 105
  • Cancer Research 149
  • Hepatology 31
  • Biomaterials 50
  • Molecular Biology 193
  • Oncology 70
Replace Chengwu Zhang with:
Chengwu Zhang China
Rui Dong China
Jiafei Xi China
Chengjie Lin China
Zhiyong Du China
Hai Jin China
Konstantina Kyriakopoulou Greece
Н. В. Хромова Russia
Yan‐Bin Ma China
Ngoc Kim Phan Vietnam
Yang Ying relative to Chengwu Zhang China Chengwu Zhang's profile →
Citations per field
00.5×
Chengwu Zhang · 1×
Citations per year

Countries citing papers authored by Yang Ying

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 201555
3 201751
4 201339
5 201333
6 201833
7 201431
8 201025
9 201818
10 201417
11 202216
12 201516
13 201715
14 202013
15 20189
16 20208
17 20198
18
PPARα mediates sunitinib resistance via NF-κB activation in clear cell renal cell carcinoma.
20188
19
[Clinical significance and diagnostic value of Golgi-protein 73 in patients with early-stage primary hepatocellular carcinoma].
20137
20
Performance analysis and experiment on granular fertilizer spreader with cone disc
20166

About Yang Ying

Yang Ying is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 510 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA Research and Splicing (2 papers), Immunotherapy and Immune Responses (2 papers), TGF-β signaling in diseases (2 papers), Ferroptosis and cancer prognosis (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cancer Research (149 citations), Hepatology (31 citations), Biomaterials (50 citations), Molecular Biology (193 citations) and Oncology (70 citations). Yang Ying has collaborated with scholars based in China and United States. Frequent co-authors include Rui Mao, Lei Xiao, Zhiyong Qian, Qiuxia Ding, Shuai Shi, Xing Wu, Feng Luo, Ge Wu, Jing Pan and Qian Cai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Oncology, Diagnostic Pathology, Science Advances and Environmental Science & Technology.

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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