Mingxin Song

1.3k citations
42 papers · 815 indexed · h-index 16
Topics
Parasitic Infections and Diagnostics (15 papers)Viral Infections and Vectors (10 papers)Vector-borne infectious diseases (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology

In The Last Decade

Mingxin Song

41 papers receiving 813 citations

Peers

Mingxin Song
Comparison fields: 5 of 62
  • Parasitology 710
  • Infectious Diseases 416
  • Small Animals 113
  • Animal Science and Zoology 96
  • Ecology, Evolution, Behavior and Systematics 95
Replace A. Tait with:
A. Tait United Kingdom
Mosaab A. Omar Egypt
Bijan Esmaeilnejad Iran
Lat Lat Htun Myanmar
Mohammad Mirzaei Iran
Samuel Charles United States
Fernanda Silveira Flores Vogel Brazil
Lisa C. Bowers United States
T Letonja United States
Mingxin Song relative to A. Tait United Kingdom A. Tait's profile →
Citations per field
00.5×7.7×
A. Tait · 1×
Citations per year

Countries citing papers authored by Mingxin Song

Since Specialization
Citations

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

Fields of papers citing papers by Mingxin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxin Song. A scholar is included among the top collaborators of Mingxin Song 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 Mingxin Song. Mingxin Song 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 3
2 1
3 0
4 13
5 3
6 7
7 10
8 3
9 6
10 74
11 20
12 74
13 9
14 49
15 114
16 56
17
Recombinant expression of 3-1E gene from Eimeria tenella Harbin strain and immunoprotection induced by the expressed recombinant protein
2
18 12
19 1
20
Investigation of coccidia fauna in chickens in Harbin Prefecture of Heilongjiang Province.
1

About Mingxin Song

Mingxin Song is a scholar working on Parasitology, Infectious Diseases and Animal Science and Zoology, having authored 42 papers that have together received 815 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (15 papers), Viral Infections and Vectors (10 papers) and Vector-borne infectious diseases (9 papers). The work is most often cited by research in Parasitology (710 citations), Infectious Diseases (416 citations) and Small Animals (113 citations). Mingxin Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Li, Yixin Lu, Yijing Li, Lihua Xiao, Jinping Yang, Qiang Wan, Wei Tao, Yanxue Jiang, Quan Liu and Hang Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

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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