Suzhen Niu

625 citations
33 papers · 406 indexed · h-index 11
Topics
Tea Polyphenols and Effects (11 papers)Genetic Mapping and Diversity in Plants and Animals (10 papers)Genetic diversity and population structure (6 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryScientific Reports
Partner nations
ChinaUnited StatesRwanda

In The Last Decade

Suzhen Niu

27 papers receiving 402 citations

Peers

Suzhen Niu
Comparison fields: 5 of 50
  • Plant Science 228
  • Genetics 134
  • Molecular Biology 116
  • Pathology and Forensic Medicine 73
  • Pollution 36
Replace Mingle Wang with:
Mingle Wang China
Matteo Buti Italy
S. M. Kamunya Kenya
Mainaak Mukhopadhyay India
S. K. Lal India
Tongjin Liu China
Senthil Kumar Thamilarasan South Korea
Björn Heinemann Germany
Sang-Nag Ahn South Korea
Suzhen Niu relative to Mingle Wang China Mingle Wang's profile →
Citations per field
00.5×7.9×
Mingle Wang · 1×
Citations per year

Countries citing papers authored by Suzhen Niu

Since Specialization
Citations

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

Fields of papers citing papers by Suzhen Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzhen Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Suzhen Niu. A scholar is included among the top collaborators of Suzhen Niu 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 Suzhen Niu. Suzhen Niu 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
1 0
2 0
3 3
4 0
5 0
6 0
7 4
8 4
9 18
10 7
11 16
12 4
13 18
14 18
15 13
16 48
17 78
18
Analysis on site soil nutrients of ancient tea trees in the Southwest State of Guizhou Province
2
19
Effect of different cutting on asexual propagation of feral tea tree.
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20 19

About Suzhen Niu

Suzhen Niu is a scholar working on Biochemistry, Pathology and Forensic Medicine and Endocrinology, having authored 33 papers that have together received 406 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Plant Science (228 citations), Endocrinology (26 citations) and Genetics (134 citations). Suzhen Niu has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Zhengwu Chen, Dahe Qiao, Degang Zhao, Yuling Li, Yongbin Dong, Boyin Qiu, Xiaojian Wu, Guoping Zhang, Hisashi Koiwa and Feibo Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

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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