Shi Shi

1.2k total citations
66 papers, 823 citations indexed

About

Shi Shi is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shi Shi has authored 66 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Plant Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shi Shi's work include Plant and Fungal Species Descriptions (7 papers), Genomics and Phylogenetic Studies (7 papers) and Ethnobotanical and Medicinal Plants Studies (6 papers). Shi Shi is often cited by papers focused on Plant and Fungal Species Descriptions (7 papers), Genomics and Phylogenetic Studies (7 papers) and Ethnobotanical and Medicinal Plants Studies (6 papers). Shi Shi collaborates with scholars based in China, Nepal and United States. Shi Shi's co-authors include Peifeng Zhang, Xinhua Zhu, Qihua Zhu, Yungen Xu, Jing Niu, Shengen Liao, Xinli Li, Qiang Fan, Iokfai Cheang and Haifeng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Chemosphere.

In The Last Decade

Shi Shi

55 papers receiving 805 citations

Peers

Shi Shi
Comparison fields: 5 of 136
  • Molecular Biology 289
  • Plant Science 113
  • Oncology 95
  • Transportation 76
  • Economics and Econometrics 65
Replace Wenjuan Yang with:
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Zhe Sun China
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Florence De Longueville Belgium
Ni Wu China
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Yifei Sun United States
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Wenjuan Yang China View profile →
Citations per field, relative to Shi Shi
Shi Shi · 1×
Citations per year, relative to Shi Shi
Shi Shi · 1×

Countries citing papers authored by Shi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Shi. A scholar is included among the top collaborators of Shi Shi 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 Shi Shi. Shi Shi 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 0
2 0
3 2
4 7
5 1
6 11
7 2
8 4
9 7
10 51
11 4
12 95
13 23
14 3
15 2
16 35
17 16
18
The East-West Zonal Distribution of Gymnosperm Floras in China and the Relationship with the Main Climatic Factors
2
19
Study on the Composing Rule of Soup of Banxia,Baishu and Tianma
1
20
OCCLUSION OF VAS DEFERENS WITH ND: YAG LASER IRRADIATION: A PRELIMINARY EXPERIMENT REPORT
1

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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