Deying Yang

1.6k total citations
66 papers, 1.1k citations indexed

About

Deying Yang is a scholar working on Molecular Biology, Aging and Cancer Research. According to data from OpenAlex, Deying Yang has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Aging and 12 papers in Cancer Research. Recurrent topics in Deying Yang's work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Cancer-related molecular mechanisms research (10 papers) and Reproductive biology and impacts on aquatic species (8 papers). Deying Yang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (12 papers), Cancer-related molecular mechanisms research (10 papers) and Reproductive biology and impacts on aquatic species (8 papers). Deying Yang collaborates with scholars based in China, United States and Australia. Deying Yang's co-authors include Mingyao Yang, Xiaolan Fan, Mingwang Zhang, Diyan Li, Uma Gaur, Zhi He, Bo Zeng, Ting Lian, Tiantian Huang and Yan Li and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Deying Yang

64 papers receiving 1.1k citations

Peers

Deying Yang
Comparison fields: 5 of 112
  • Molecular Biology 537
  • Cancer Research 187
  • Physiology 153
  • Aging 130
  • Genetics 129
Replace Xiaolan Fan with:
Xiaolan Fan China
Takehito Kuwayama Japan
Ping Kang China
Yaping Jin China
Maroun Bou Sleiman Switzerland
Pramod C. Rath India
Yhong‐Hee Shim South Korea
Lili Tian China
Zhongxian Xu China
Hisataka Iwata Japan
Xiaolan Fan China View profile →
Citations per field, relative to Deying Yang
Deying Yang · 1×
Citations per year, relative to Deying Yang
Deying Yang · 1×

Countries citing papers authored by Deying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Deying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Deying Yang. A scholar is included among the top collaborators of Deying 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 Deying Yang. Deying 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 1
2 6
3 13
4 2
5 1
6 3
7 1
8 10
9 9
10 17
11 16
12 3
13
Evaluation of Saliva as an Alternative Sample Type for SARS-CoV-2 Detection Using the Hologic Panther Aptima EUA Assay
1
14 61
15 10
16 10
17 5
18 21
19 21
20 13

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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