Weiwei Xue

7.0k citations
177 papers · 5.7k indexed · h-index 41

Impact in

Papers in

Weiwei Xue

165 papers receiving 5.6k citations

Peers

Weiwei Xue
Comparison fields: 5 of 159
  • Computational Theory and Mathematics 1.0k
  • Molecular Biology 3.3k
  • Infectious Diseases 740
  • Developmental Neuroscience 148
  • Cellular and Molecular Neuroscience 644
Replace Kenji Mizuguchi with:
Kenji Mizuguchi Japan
Thomas D.Y. Chung United States
Irina Kufareva United States
Krister Wennerberg Finland
Xun Li China
Patrick A. Eyers United Kingdom
Elmar Krieger Netherlands
Ji-Hu Zhang United States
Kevin R. Oldenburg United States
Tao Xu United States
Weiwei Xue relative to Kenji Mizuguchi Japan Kenji Mizuguchi's profile →
Citations per field
00.5×3.9×
Kenji Mizuguchi · 1×
Citations per year

Countries citing papers authored by Weiwei Xue

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Weiwei Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weiwei Xue Line = papers co-authored together Weiwei Xue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20245
4 20242
5 20241
6 20244
7 20248
8 20249
9 202420
10 20242
11 20241
12 202312
13 20236
14 202316
15 202217
16 201829
17 201723
18 201751
19 201314
20 201223

About Weiwei Xue

Weiwei Xue is a scholar working on Developmental Neuroscience, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Virology and Molecular Biology, having authored 177 papers that have together received 5.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Receptor Mechanisms and Signaling (16 papers), Protein Structure and Dynamics (14 papers), Nerve injury and regeneration (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Spinal Cord Injury Research (12 papers), HIV/AIDS drug development and treatment (11 papers) and Neurogenesis and neuroplasticity mechanisms (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (3.3k citations), Infectious Diseases (740 citations), Developmental Neuroscience (148 citations) and Cellular and Molecular Neuroscience (644 citations). Weiwei Xue has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Feng Zhu, Xiaojun Yao, Yu Chen, Bo Li, Qingxia Yang, Jing Tang, Fengyuan Yang, Guoxun Zheng, Yinghong Li and Huanxiang Liu. Their work appears in journals such as Briefings in Bioinformatics, Journal of Chemical Information and Modeling, ACS Chemical Neuroscience, Physical Chemistry Chemical Physics 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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