Shanshan Zhai

902 citations
42 papers · 610 indexed · h-index 13
Topics
CRISPR and Genetic Engineering (13 papers)Genetically Modified Organisms Research (10 papers)Wheat and Barley Genetics and Pathology (5 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryScientific Reports
Partner nations
ChinaCanadaUnited States

In The Last Decade

Shanshan Zhai

37 papers receiving 597 citations

Peers

Shanshan Zhai
Comparison fields: 5 of 103
  • Molecular Biology 291
  • Plant Science 252
  • Obstetrics and Gynecology 57
  • Genetics 56
  • Surgery 42
Replace Christine Henke with:
Christine Henke Germany
D. Haines United States
Jennifer Meyer United States
Jeffrey C. Hoyt United States
Zhihao Xu China
Adam Ząbek Poland
Shi Shi China
Takahiro Haga Japan
Yuqian Luo China
Shanshan Zhai relative to Christine Henke Germany Christine Henke's profile →
Citations per field
00.5×4.4×
Christine Henke · 1×
Citations per year

Countries citing papers authored by Shanshan Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Zhai. A scholar is included among the top collaborators of Shanshan Zhai 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 Shanshan Zhai. Shanshan Zhai 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 6
4 3
5 3
6 6
7 4
8 2
9 3
10 0
11 1
12 1
13 3
14 12
15 1
16 33
17 114
18 16
19 11
20 103

About Shanshan Zhai

Shanshan Zhai is a scholar working on Plant Science, Obstetrics and Gynecology and Critical Care and Intensive Care Medicine, having authored 42 papers that have together received 610 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Genetically Modified Organisms Research (10 papers) and Wheat and Barley Genetics and Pathology (5 papers). The work is most often cited by research in Obstetrics and Gynecology (57 citations), Plant Science (252 citations) and Periodontics (22 citations). Shanshan Zhai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yina Wu, Li-Ping Bai, Wenjia Wang, Tao Li, Zhifu Guo, Hui Wang, Da‐Zhi Wang, Yuhua Wu, Hongfei Gao and Gang 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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