Lijing Xu

871 citations
28 papers · 621 indexed · h-index 14
Topics
Gene expression and cancer classification (6 papers)Bioinformatics and Genomic Networks (6 papers)Pneumocystis jirovecii pneumonia detection and treatment (3 papers)

In The Last Decade

Lijing Xu

26 papers receiving 612 citations

Peers

Lijing Xu
Comparison fields: 5 of 105
  • Molecular Biology 228
  • Infectious Diseases 187
  • Epidemiology 174
  • Biomedical Engineering 92
  • Biomaterials 65
Replace Ziqi Ye with:
Ziqi Ye China
Aparna Khanna India
Aisha Farhana Saudi Arabia
Andrea Engel Germany
Xiaohui Ma China
Yuanjun Li China
Adrian T. Press Germany
Shiow‐Yi Chen Taiwan
Usha Singh Gaharwar India
Simona Bancos United States
Lijing Xu relative to Ziqi Ye China Ziqi Ye's profile →
Citations per field
00.5×9.4×
Ziqi Ye · 1×
Citations per year

Countries citing papers authored by Lijing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lijing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Lijing Xu. A scholar is included among the top collaborators of Lijing Xu 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 Lijing Xu. Lijing Xu 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 1
2 0
3 25
4 9
5 3
6 15
7 2
8 7
9 16
10 29
11 7
12 10
13 13
14 26
15 43
16 18
17 23
18 32
19 17
20
Multiple comparisons model-based clustering and ternary pattern tree numerical display of gene response to treatment: procedure and application to the preclinical evaluation of chemopreventive agents.
7

About Lijing Xu

Lijing Xu is a scholar working on Complementary and Manual Therapy, Transplantation and Molecular Biology, having authored 28 papers that have together received 621 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (187 citations), Epidemiology (174 citations) and Biomaterials (65 citations). Lijing Xu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ramin Homayouni, Katherine S. Barker, P. David Rogers, Saheel Bhana, Nathan P. Wiederhold, Kelly E. Caudle, Daniel L. Baker, Derek D. Norman, Abby L. Parrill and Fei Ren. Their work appears in journals such as PLoS ONE, Brain Research and The Journal of Infectious Diseases.

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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