Dayue Tong

454 total citations
22 papers, 307 citations indexed

About

Dayue Tong is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dayue Tong has authored 22 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Dayue Tong's work include Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (7 papers) and Cancer Mechanisms and Therapy (3 papers). Dayue Tong is often cited by papers focused on Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (7 papers) and Cancer Mechanisms and Therapy (3 papers). Dayue Tong collaborates with scholars based in China, United Kingdom and United States. Dayue Tong's co-authors include Yi Jin, Xueling Ou, Hongyu Sun, Yuhang Pan, Qingcong Kong, Jianning Chen, Chuchu Zhang, Yongji Zhang, Ying Wang and Ran Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Tumor Biology.

In The Last Decade

Dayue Tong

21 papers receiving 301 citations

Peers

Dayue Tong
Comparison fields: 5 of 55
  • Molecular Biology 226
  • Genetics 157
  • Cancer Research 82
  • Oncology 32
  • Rheumatology 24
Replace Marilena Carmela Di Giacomo with:
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Juanliang Cai United States
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Rafael Blanco Chile
Katinka A. Vigh‐Conrad United States
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Anna Sowińska‐Seidler Poland
Marilena Carmela Di Giacomo Italy View profile →
Citations per field, relative to Dayue Tong
Dayue Tong · 1×
Citations per year, relative to Dayue Tong
Dayue Tong · 1×

Countries citing papers authored by Dayue Tong

Since Specialization
Citations

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

Fields of papers citing papers by Dayue Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayue Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Dayue Tong. A scholar is included among the top collaborators of Dayue Tong 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 Dayue Tong. Dayue Tong 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 62
2 7
3
Development of New mRNA Markers for the Identification of Menstrual Blood.
6
4 5
5 60
6 13
7 2
8 6
9 17
10 0
11 21
12 28
13 27
14 28
15 7
16 4
17
Closely linked polymorphic marker: successful application in preimplantation genetic diagnosis for beta-thalassemia.
1
18
Mutations of 15 short tandem repeat loci in Chinese population.
4
19
[A linkage analysis of quantitative trait loci for familial schizophrenia on chromosome 1].
1
20
[Linkage analysis of susceptibility genes for familial schizophrenia on chromosome 1 in Chinese population].
6

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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