Xujun Zhang

2.8k citations
75 papers · 1.9k indexed · 1 hit paper · h-index 26
Topics
Computational Drug Discovery Methods (33 papers)Protein Structure and Dynamics (20 papers)Machine Learning in Materials Science (14 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Xujun Zhang

72 papers receiving 1.8k citations

Hit Papers

Discovery of antimicrobial peptides with notable antibact...202520262025102030

Peers

Xujun Zhang
Comparison fields: 5 of 145
  • Molecular Biology 1.0k
  • Computational Theory and Mathematics 700
  • Materials Chemistry 326
  • Cancer Research 150
  • Organic Chemistry 148
Replace Mingli Xiang with:
Mingli Xiang China
Wenjuan Zhang China
Dnyaneshwar Kalyane India
Ioannis S. Vizirianakis Greece
Salman R. Khetani United States
Senyi Deng China
Qianqian Wang China
Pengyu Yang China
Xiliang Wang China
Kevin Dzobo South Africa
Xujun Zhang relative to Mingli Xiang China Mingli Xiang's profile →
Citations per field
00.5×10.5×
Mingli Xiang · 1×
Citations per year

Countries citing papers authored by Xujun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xujun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xujun Zhang. A scholar is included among the top collaborators of Xujun Zhang 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 Xujun Zhang. Xujun Zhang 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 1
3 0
4
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation modelbreakdown →
33
5 0
6 9
7 2
8 11
9 13
10 29
11 10
12 80
13 44
14 6
15 20
16 4
17 10
18 11
19 3
20 23

About Xujun Zhang

Xujun Zhang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Immunology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Protein Structure and Dynamics (20 papers) and Machine Learning in Materials Science (14 papers). The work is most often cited by research in Computational Theory and Mathematics (700 citations), Molecular Biology (1.0k citations) and Cancer Research (150 citations). Xujun Zhang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tingjun Hou, Hongyan Diao, Chao Shen, Wenbiao Chen, Kefan Bi, Chang‐Yu Hsieh, Yu Kang, Dongsheng Cao, Lei Xu and Dejun Jiang. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Nucleic Acids Research.

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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