Wenjun Song

537 citations
11 papers · 343 indexed · 1 hit paper · h-index 6
Topics
Microbial Metabolic Engineering and Bioproduction (2 papers)Fungal Biology and Applications (2 papers)Advanced Chemical Sensor Technologies (2 papers)
Partner nations
ChinaCanadaPortugal

In The Last Decade

Wenjun Song

10 papers receiving 341 citations

Hit Papers

Types of nuclear localization signals and mechanisms of p...2021202620222024202150100150200250

Peers

Wenjun Song
Comparison fields: 5 of 86
  • Molecular Biology 228
  • Plant Science 47
  • Genetics 44
  • Biomedical Engineering 26
  • Pharmacology 23
Replace Yoshiyuki Tsujimoto with:
Yoshiyuki Tsujimoto Japan
Sayan Paul India
Douglas Law Malaysia
Youwei Zhang China
Sebastiana Angelaccio Italy
Masaki Kinehara Japan
Qinyu Zhang China
Dong‐Seung Seen South Korea
Wenjun Song relative to Yoshiyuki Tsujimoto Japan Yoshiyuki Tsujimoto's profile →
Citations per field
00.5×10×20×29.3×
Yoshiyuki Tsujimoto · 1×
Citations per year

Countries citing papers authored by Wenjun Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Song. A scholar is included among the top collaborators of Wenjun 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 Wenjun Song. Wenjun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 9
4 4
5 20
6
Types of nuclear localization signals and mechanisms of protein import into the nucleusbreakdown →
258
7 7
8 1
9 21
10 19
11
Rapid Isolation of Phenol Degrading Bacteria by Fourier Transform Infrared (FTIR) Spectroscopy.
3

About Wenjun Song

Wenjun Song is a scholar working on Biophysics, Clinical Biochemistry and Complementary and alternative medicine, having authored 11 papers that have together received 343 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), Fungal Biology and Applications (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Molecular Biology (228 citations), Aging (5 citations) and Genetics (44 citations). Wenjun Song has collaborated with scholars based in China, Canada and Portugal. Frequent co-authors include Haihua Ruan, Tao Wu, Jianjun Qiao, Biao Zhang, Li Fei, Ji-Ping Wei, Changwen Li, Xiaoli Bai, Xueqing Wang and Jingjing Su. Their work appears in journals such as Food Chemistry, Biochemical and Biophysical Research Communications and Frontiers in 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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