Wanjun Shi

15 papers receiving 451 citations

Peers

Wanjun Shi
Comparison fields: 5 of 69
  • Pollution 212
  • Soil Science 84
  • Analytical Chemistry 53
  • Plant Science 198
  • Health, Toxicology and Mutagenesis 69
Replace Vinícius Henrique De Oliveira with:
Vinícius Henrique De Oliveira Brazil
Martha Barajas-Aceves Mexico
Vincent Mercier France
Alexandre Livet France
D. Ziegenhagen Germany
R.M.C.P. Rajapaksha Sri Lanka
André Mundstock Xavier de Carvalho Brazil
Ellen L. Arthur United States
Juan Salvador Chin-Pampillo Costa Rica
Tomasz Płociniczak Poland
Wanjun Shi relative to Vinícius Henrique De Oliveira Brazil Vinícius Henrique De Oliveira's profile →
Citations per field
00.5×10×16.5×
Vinícius Henrique De Oliveira · 1×
Citations per year

Countries citing papers authored by Wanjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wanjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Wanjun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanjun Shi Line = papers co-authored together Wanjun Shi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010122
2 200998
3 201078
4 201148
5 201032
6 201624
7 201018
8 200412
9
Cloning and characterization analysis of the genes encoding precursor of mast cell degranulating peptide from 2 honeybee and 3 wasp species.
20039
10
[Cloning and comparative analysis of the venom prepromelittin genes from four wasp species].
20038
11 20135
12 20034
13
Cloning and sequencing of cDNA encoding prepromelittin in Apis cerana cerana and Apis mellifera
20033
14
Expression of the melittin gene of Polistes hebraeus fused with enhanced green fluorescent protein gene in insect cells
20061
15 20061

About Wanjun Shi

Wanjun Shi is a scholar working on Pharmacology, Insect Science, Pollution, Genetics and Plant Science, having authored 15 papers that have together received 463 indexed citations. Recurring topics across this work include Healthcare and Venom Research (7 papers), Insect and Pesticide Research (7 papers), Insect and Arachnid Ecology and Behavior (5 papers), Heavy metals in environment (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Plant Stress Responses and Tolerance (2 papers), Soil and Water Nutrient Dynamics (1 paper) and Lichen and fungal ecology (1 paper). The work is most often cited by research in Pollution (212 citations), Soil Science (84 citations), Analytical Chemistry (53 citations), Plant Science (198 citations) and Health, Toxicology and Mutagenesis (69 citations). Wanjun Shi has collaborated with scholars based in China. Frequent co-authors include Pei Zhou, Yang Gao, Liang Mao, Chiyuan Miao, Chunhua Zhang, Chuan‐Xi Zhang, Chunyan Luo, Jun Xia, Songgeng Li and Wenli Song. Their work appears in journals such as Environmental Earth Sciences, Insect Science, The Science of The Total Environment, Journal of Environmental Sciences and Journal of Analytical and Applied Pyrolysis.

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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