Zaixiang Tang

1.5k citations
92 papers · 933 indexed · h-index 17
Topics
Genetic Mapping and Diversity in Plants and Animals (14 papers)Genetics and Plant Breeding (10 papers)Gene expression and cancer classification (9 papers)
Journals
SHILAP Revista de lepidopterologíaBloodBioinformatics
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Zaixiang Tang

84 papers receiving 914 citations

Peers

Zaixiang Tang
Comparison fields: 5 of 135
  • Molecular Biology 374
  • Plant Science 171
  • Cancer Research 145
  • Genetics 140
  • Pulmonary and Respiratory Medicine 115
Replace Ralf L. Schild with:
Ralf L. Schild Germany
Juan Pablo Lewinger United States
Xinyan Zhang United States
Jianping Sun China
Emily Holzinger United States
Christine Lonjou United Kingdom
Fei Chen China
Haitao Yang China
Soohyun Ahn South Korea
R. A. Elton United Kingdom
Zaixiang Tang relative to Ralf L. Schild Germany Ralf L. Schild's profile →
Citations per field
00.5×2.5×
Ralf L. Schild · 1×
Citations per year

Countries citing papers authored by Zaixiang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zaixiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaixiang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaixiang Tang. A scholar is included among the top collaborators of Zaixiang Tang 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 Zaixiang Tang. Zaixiang Tang 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
#WorkIndexed citations
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15 9
16 107
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Integrated Application of Risk Matrix and Borda Count Methods to Assessment of the Risks of Public Health Emergency Events during Regional Large-Scale Activities
1

About Zaixiang Tang

Zaixiang Tang is a scholar working on Cancer Research, Hematology and Biological Psychiatry, having authored 92 papers that have together received 933 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetics and Plant Breeding (10 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Cancer Research (145 citations), Statistics and Probability (57 citations) and Transplantation (18 citations). Zaixiang Tang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Nengjun Yi, Xinyan Zhang, Chenwu Xu, Yueping Shen, Zefeng Yang, Xuefeng Wang, Andrew K. Benson, Lei Zhang, Himel Mallick and Xiangqin Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

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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