Yaying Yang

436 citations
23 papers · 204 · h-index 7

Impact in

    • Erythropoietin and Anemia Treatment
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Yaying Yang

22 papers receiving 202 citations

Peers

Yaying Yang
Comparison fields: 5 of 56
  • Hematology 41
  • Cancer Research 53
  • Genetics 16
  • Oncology 33
  • Molecular Biology 83
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Pan Chi China
Qing Lan United States
Bal M. Mishra United States
Elina Zorde‐Khvalevsky Israel
Shane G. Supple Australia
Vinitha M. Kuruvilla United States
Aparna Pallavajjalla United States
Alina Simerzin Israel
Katja Müdder Germany
Montserrat Torà Spain
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Citations per field
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Citations per year

Countries citing papers authored by Yaying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yaying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199456
2 202147
3 201918
4 201917
5 20199
6 20217
7 20227
8 20186
9
[Correlation between life events, coping styles and depression of adolescents in Haikou City in 2015].
20185
10 19945
11 20244
12
PLZF and PLZF-MAPK10 can predict the prognosis of postoperative patients with hepatocellular carcinoma.
20204
13 20194
14
The expressions of GMII, E-cadherin and α-catenin in ovarian epithelial tumor tissues and ovarian cancer cells with different abilities of metastasis
20122
15 20222
16 20132
17 20202
18 20172
19 20082
20 20231

About Yaying Yang

Yaying Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 204 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hematology (41 citations), Cancer Research (53 citations), Genetics (16 citations), Oncology (33 citations) and Molecular Biology (83 citations). Yaying Yang has collaborated with scholars based in China, United States and India. Frequent co-authors include Maher Albitar, Hui‐Kuan Lin, Eugene Goldwasser, Yan Wang, Yalan Wang, Harshabad Singh, Nilay S. Sethi, Y. Zhang, Qingshu Li and Paloma Cejas. Their work appears in journals such as Blood, Gastroenterology, Oncogene, Medicine and PeerJ.

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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