Sun Ming

1.3k citations
10 papers · 130 · h-index 4

Impact in

Papers in

Sun Ming

9 papers receiving 129 citations

Peers

Sun Ming
Comparison fields: 5 of 16
  • Animal Science and Zoology 117
  • Infectious Diseases 97
  • Genetics 63
  • Cardiology and Cardiovascular Medicine 24
  • Microbiology 4
Replace Young‐Jo Song with:
Young‐Jo Song South Korea
Wannarat Yim‐Im United States
Phoebe Stevenson-Leggett United Kingdom
Kelly L. Klinge United States
Guobiao Ji China
Takumi Motoya Japan
Pengju Guo China
G. Zhang China
Christina Quigley United States
E. H. J. Wissink Netherlands
Sun Ming relative to Young‐Jo Song South Korea Young‐Jo Song's profile →
Citations per field
00.5×1.5×2.4×
Young‐Jo Song · 1×
Citations per year

Countries citing papers authored by Sun Ming

Since Specialization
Citations

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

Fields of papers citing papers by Sun Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Sun Ming, 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 Sun Ming Line = papers co-authored together Sun Ming links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201763
2 201835
3 201719
4 20194
5
Effect of Bacillus thuringiensis with crystal negative strain on safety of mice and chickens
20073
6
Establishment of Single PCR for JEV,PPV,PRRSV and PRV
20012
7
Expression of Bacillus thuringiensis cry1Ac10 and cry1C genes under the nonsporulation-dependent promoter
20002
8
Primer design of multiple PCR for detection of Japanese encephalitis virus (JEV), porcine parvovirus (PPV), porcine reproductive and respiratory syndrome virus (PRRSV) and Aujeszky virus (PRV).
20001
9
[The plasmid harboring cry26Aa may contribute to the phenomenon of spore-crystal connection in Bacillus thuringiensis subsp. finitimus].
20071
10 20250

About Sun Ming

Sun Ming is a scholar working on Infectious Diseases, Animal Science and Zoology, Molecular Biology, Genetics and Plant Science, having authored 10 papers that have together received 130 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Virus-based gene therapy research (3 papers), Insect Resistance and Genetics (2 papers), Insect and Pesticide Research (1 paper), Mosquito-borne diseases and control (1 paper), Legume Nitrogen Fixing Symbiosis (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Animal Science and Zoology (117 citations), Infectious Diseases (97 citations), Genetics (63 citations), Cardiology and Cardiovascular Medicine (24 citations) and Microbiology (4 citations). Sun Ming has collaborated with scholars based in China. Frequent co-authors include Xiaoyu Deng, Nanhua Chen, Xizhao Chen, Mingming Qiao, Kegong Tian, Xiangdong Li, Lan Wu, Ziduo Liu, Yu Ziniu and Fang Ji. Their work appears in journals such as Emerging infectious diseases, Journal of drug targeting, Infection Genetics and Evolution, Applied Mechanics and Materials and PubMed.

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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