Shijun Li

3.1k citations
75 papers · 1.5k indexed · h-index 21
Topics
Genetic and phenotypic traits in livestock (5 papers)MicroRNA in disease regulation (5 papers)Cancer-related molecular mechanisms research (4 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaUnited StatesEgypt

In The Last Decade

Shijun Li

68 papers receiving 1.5k citations

Peers

Shijun Li
Comparison fields: 5 of 125
  • Molecular Biology 887
  • Cancer Research 265
  • Infectious Diseases 193
  • Plant Science 185
  • Oncology 137
Replace Bei Tong with:
Bei Tong China
Klaus Lehnert New Zealand
Tomisato Miura Japan
Maria Cristina Dechecchi Italy
Hua Sun China
Xiaoming Wu China
Shyamal K. Goswami India
Scott M. Laster United States
Ruiying Wang China
Takafumi Watanabe Japan
Shijun Li relative to Bei Tong China Bei Tong's profile →
Citations per field
00.5×1.5×1.8×
Bei Tong · 1×
Citations per year

Countries citing papers authored by Shijun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shijun Li. A scholar is included among the top collaborators of Shijun Li 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 Shijun Li. Shijun Li 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 0
2 5
3 10
4 9
5 3
6 23
7 5
8 16
9 2
10 5
11 137
12 55
13 12
14 19
15 2
16
[Study on the epidemiologic characteristic of Brucella melitensis isolated in Guizhou province in 2010-2012].
1
17 1
18
The expression profile analysis of sexual dimorphism miRNAs expressed in chicken embryo at the early stages of sex differentiation.
3
19 202
20 204

About Shijun Li

Shijun Li is a scholar working on Cancer Research, Infectious Diseases and Molecular Biology, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (265 citations), Molecular Biology (887 citations) and Infectious Diseases (193 citations). Shijun Li has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Larry W. Oberley, Kun‐Liang Guan, Mingjia Tan, Manju Swaroop, Yi Sun, Jianfei Luo, Zhe Xiao, R.H. Yan, Frederick E. Domann and Garry R. Buettner. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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