Xinran Xu

483 total citations · 1 hit paper
4 papers, 331 citations indexed

About

Xinran Xu is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology. According to data from OpenAlex, Xinran Xu has authored 4 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 2 papers in Pharmacology and 1 paper in Molecular Biology. Recurrent topics in Xinran Xu's work include Pharmacogenetics and Drug Metabolism (2 papers), Computational Drug Discovery Methods (2 papers) and Biocrusts and Microbial Ecology (1 paper). Xinran Xu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (2 papers), Computational Drug Discovery Methods (2 papers) and Biocrusts and Microbial Ecology (1 paper). Xinran Xu collaborates with scholars based in China. Xinran Xu's co-authors include Yang Qiu, Yifan Deng, Wen Zhang, Shichao Liu, Jingbo Xia, Zhongfei Zhang, Shanfeng Zhu, Weiwei Zhang, Jin Lan and Xiangdong Chen and has published in prestigious journals such as Bioinformatics, Briefings in Bioinformatics and Journal of Basic Microbiology.

In The Last Decade

Xinran Xu

3 papers receiving 324 citations

Hit Papers

A multimodal deep learning framework for predicting drug–... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Xinran Xu
Comparison fields: 5 of 59
  • Computational Theory and Mathematics 258
  • Molecular Biology 220
  • Materials Chemistry 73
  • Artificial Intelligence 60
  • Pharmacology 59
Replace Tal Lorberbaum with:
Tal Lorberbaum United States
Yatong Liu China
Rawan S. Olayan Saudi Arabia
Wenjian Wu China
Qichang Zhao China
Aleksandar Poleksić United States
Jadson Castro Gertrudes Brazil
Tevfik Kizilören United Kingdom
Sameh K. Mohamed Ireland
Remzi Çelebi Netherlands
Tal Lorberbaum United States View profile →
Citations per field, relative to Xinran Xu
Xinran Xu · 1×
Citations per year, relative to Xinran Xu
Xinran Xu · 1×

Countries citing papers authored by Xinran Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xinran Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinran Xu. A scholar is included among the top collaborators of Xinran 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 Xinran Xu. Xinran Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 0
2 47
3
A multimodal deep learning framework for predicting drug–drug interaction events breakdown →
281
4 3

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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