Ling Xue
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- Computational Drug Discovery Methods 25
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 8
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 10
- Antibiotics Pharmacokinetics and Efficacy 5
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 10
- Antibiotics Pharmacokinetics and Efficacy 5
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography 13
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- Chemical Synthesis and Analysis 9
- Metabolomics and Mass Spectrometry Studies 5
- Plant biochemistry and biosynthesis 5
- Co-authors
- Jürgen BajorathJeffrey W. GoddenFlorence L. StahuraLiyan MiaoYan ZhangJin WangLimei ZhaoHE Xiao-jing
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Medicinal Chemistry (2 papers)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ling Xue
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 590
- Transplantation 93
- Pharmacology 295
- Pharmacology 129
- Spectroscopy 159
Countries citing papers authored by Ling Xue
This map shows the geographic impact of Ling 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 Ling Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Xue more than expected).
Fields of papers citing papers by Ling Xue
This network shows the impact of papers produced by Ling 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 Ling Xue. The network helps show where Ling Xue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | Experimental Investigation of Proppant Transport in Flexural Fracture Systems | 2021 | 0 |
| 6 | 2021 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 39 | |
| 11 | 2017 | 11 | |
| 12 | 2014 | 13 | |
| 13 | Multimodel Bayesian Optimization of Data Collection Schemes | 2011 | 0 |
| 14 | 2011 | 12 | |
| 15 | 2011 | 94 | |
| 16 | 2010 | 5 | |
| 17 | 2010 | 1 | |
| 18 | Design of content-based video retrieval system using MPEG-7 | 2006 | 1 |
| 19 | 2004 | 14 | |
| 20 | 2001 | 15 |
About Ling Xue
Ling Xue is a scholar working on Transplantation, Computational Theory and Mathematics and Pharmacology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Analytical Chemistry and Chromatography (13 papers), Pharmacogenetics and Drug Metabolism (10 papers), Chemical Synthesis and Analysis (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Plant biochemistry and biosynthesis (5 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Computational Theory and Mathematics (590 citations), Transplantation (93 citations) and Pharmacology (295 citations). Ling Xue has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jürgen Bajorath, Jeffrey W. Godden, Florence L. Stahura, Liyan Miao, Liyan Miao, Yan Zhang, Jin Wang, Limei Zhao, HE Xiao-jing and W. G. Rudd. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry 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.