Xiaoxu Li

1.4k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 7

Xiaoxu Li

14 papers receiving 1.0k citations

Hit Papers

Therapeutic target database 2020: enriched resource for f...6512019202620212023200400600

Peers

Xiaoxu Li
Comparison fields: 5 of 108
  • Pharmacology 188
  • Computational Theory and Mathematics 329
  • Complementary and alternative medicine 91
  • Molecular Biology 707
  • Biological Psychiatry 23
Replace Gao Tu with:
Gao Tu China
Danfeng Shi China
Xichen Lian China
Sisheng Ouyang China
Calvin Yu‐Chian Chen Taiwan
Qiu Sun China
Lili Chen China
Angelo Pugliese United States
Matthias Wirth Germany
Kun‐Yi Hsin Japan
Xiaoxu Li relative to Gao Tu China Gao Tu's profile →
Citations per field
00.5×1.5×1.8×
Gao Tu · 1×
Citations per year

Countries citing papers authored by Xiaoxu Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaoxu Li, 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 Xiaoxu Li Line = papers co-authored together Xiaoxu Li links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20253
2 20250
3 20251
4 20252
5 20251
6 20246
7 20243
8 20231
9 20217
10
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeuticsbreakdown →
2019651
11 2019127
12 201869
13 2018133
14 201816
15 201631
16 20140
17
Generalization of Reduction in Rough Sets Based on the Views of Pansystems.
20080

About Xiaoxu Li

Xiaoxu Li is a scholar working on Computational Theory and Mathematics, Clinical Biochemistry and Pharmacology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Glycation End Products research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Acute Myeloid Leukemia Research (1 paper), Protein Structure and Dynamics (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Pharmacology (188 citations), Computational Theory and Mathematics (329 citations) and Complementary and alternative medicine (91 citations). Xiaoxu Li has collaborated with scholars based in China, Singapore and Czechia. Frequent co-authors include Feng Zhu, Yu Chen, Fengcheng Li, Ying Zhou, Yunxia Wang, Yinghong Li, Runyuan Zhang, Ying Tan, Ying Zhang and Yuxiang Ren. Their work appears in journals such as Nucleic Acids Research, Physical Chemistry Chemical Physics and Frontiers in Immunology.

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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