Yuan-Ling Xia

1.7k citations
12 papers · 1.2k indexed · 1 hit paper · h-index 6
Topics
Protein Structure and Dynamics (7 papers)Computational Drug Discovery Methods (5 papers)vaccines and immunoinformatics approaches (4 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Yuan-Ling Xia

12 papers receiving 1.2k citations

Hit Papers

Insights into Protein–Ligand Interactions: Mechanisms, Mo...201620262019202220162505007501000

Peers

Yuan-Ling Xia
Comparison fields: 5 of 120
  • Molecular Biology 683
  • Computational Theory and Mathematics 300
  • Organic Chemistry 171
  • Infectious Diseases 109
  • Materials Chemistry 102
Replace Xinglai Ji with:
Xinglai Ji China
Kunqian Yu China
Delaram Ghoreishi United States
Kellon Belfon United States
Lauren Raguette United States
John D. Bickel United States
H. Steuber Germany
Colin G. Ferguson United States
Kevin A. Lobb South Africa
Sarah Naomi Bolz Germany
Yuan-Ling Xia relative to Xinglai Ji China Xinglai Ji's profile →
Citations per field
00.5×1.5×
Xinglai Ji · 1×
Citations per year

Countries citing papers authored by Yuan-Ling Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Ling Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Ling Xia. 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 Yuan-Ling Xia. The network helps show where Yuan-Ling Xia may publish in the future.

Co-authorship network of co-authors of Yuan-Ling Xia

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

All Works

12 of 12 papers shown
#WorkIndexed citations
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Insights into Protein–Ligand Interactions: Mechanisms, Models, and Methodsbreakdown →
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About Yuan-Ling Xia

Yuan-Ling Xia is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Virology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Computational Theory and Mathematics (300 citations), Molecular Biology (683 citations) and Physical and Theoretical Chemistry (62 citations). Yuan-Ling Xia has collaborated with scholars based in China, United States and India. Frequent co-authors include Shu-Qun Liu, Xinglai Ji, Yi Li, Jing Liang, Peng Sang, Xing Du, Yun‐Xin Fu, Weihua Li, Yongping Li and Jianxin Shen. Their work appears in journals such as International Journal of Molecular Sciences, Physical Chemistry Chemical Physics and Cells.

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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