Yaying Yang

427 total citations
23 papers, 196 citations indexed

About

Yaying Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Yaying Yang has authored 23 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Yaying Yang's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Epigenetics and DNA Methylation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yaying Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Epigenetics and DNA Methylation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yaying Yang collaborates with scholars based in China, United States and India. Yaying Yang's co-authors include Maher Albitar, Eugene Goldwasser, Hui‐Kuan Lin, Sándor Spisák, Pranshu Sahgal, Paloma Cejas, Yi Tang, Y. Zhang, Henry W. Long and Yan Wang and has published in prestigious journals such as Blood, Gastroenterology and Cancer Research.

In The Last Decade

Yaying Yang

21 papers receiving 194 citations

Peers

Yaying Yang
Comparison fields: 5 of 64
  • Molecular Biology 97
  • Cancer Research 57
  • Hematology 42
  • Oncology 40
  • Immunology 23
Replace Chaozeng Si with:
Chaozeng Si China
Ya-Ching Hsieh United Kingdom
Christian Reimann Germany
Laëtitia Largeaud France
Honggang Jiang China
Johanna Zierow Germany
Sebastian A. Wohlfeil Germany
Dongzhi Hu China
Teresa Laguna Spain
Chaozeng Si China View profile →
Citations per field, relative to Yaying Yang
Yaying Yang · 1×
Citations per year, relative to Yaying Yang
Yaying Yang · 1×

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-authorship network of co-authors of Yaying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaying Yang. A scholar is included among the top collaborators of Yaying Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaying Yang. Yaying Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 6
5 2
6 7
7 45
8 2
9 17
10 9
11 3
12 18
13 5
14
[Correlation between life events, coping styles and depression of adolescents in Haikou City in 2015].
5
15 0
16 2
17 1
18
The expressions of GMII, E-cadherin and α-catenin in ovarian epithelial tumor tissues and ovarian cancer cells with different abilities of metastasis
2
19 2
20 55

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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