Xiaoling Li
Impact in
- Modeling and Simulation top 10%
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 8
-
- Mathematical Biology Tumor Growth 3
- Co-authors
- Helle Peegel (2 shared papers)Zhongwei Gu (6 shared papers)Kui Luo (6 shared papers)Qiyong Gong (6 shared papers)Hu Zhang (6 shared papers)Zhenyu Duan (6 shared papers)Lei Gu (5 shared papers)Hongyan Zhu (5 shared papers)
- Journals
- Advanced Materials (3 papers)The Pediatric Infectious Disease Journal (2 papers)International Journal of Biomathematics (2 papers)Endocrinology (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoling Li
35 papers receiving 725 citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 46
- Biomaterials 100
- Public Health, Environmental and Occupational Health 200
- Reproductive Medicine 51
- Virology 25
Countries citing papers authored by Xiaoling Li
This map shows the geographic impact of Xiaoling 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 Xiaoling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Li more than expected).
Fields of papers citing papers by Xiaoling Li
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Li. The network helps show where Xiaoling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2002 | 72 | |
| 3 | 2023 | 65 | |
| 4 | 2021 | 61 | |
| 5 | 1998 | 58 | |
| 6 | 2012 | 56 | |
| 7 | 2022 | 54 | |
| 8 | 2015 | 40 | |
| 9 | 1995 | 36 | |
| 10 | 2022 | 33 | |
| 11 | 1996 | 21 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2012 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 9 |
About Xiaoling Li
Xiaoling Li is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Biomaterials and Computer Networks and Communications, having authored 36 papers that have together received 750 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Evolution and Genetic Dynamics (5 papers), Nanoplatforms for cancer theranostics (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Mathematical Biology Tumor Growth (3 papers), HIV/AIDS drug development and treatment (2 papers) and Nonlinear Differential Equations Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (46 citations), Biomaterials (100 citations), Public Health, Environmental and Occupational Health (200 citations), Reproductive Medicine (51 citations) and Virology (25 citations). Xiaoling Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Helle Peegel, Zhongwei Gu, Kui Luo, Qiyong Gong, Hu Zhang, Zhenyu Duan, Lei Gu, Hongyan Zhu, K.M.J. Menon and Qiang Luo. Their work appears in journals such as Advanced Materials, The Pediatric Infectious Disease Journal, International Journal of Biomathematics, Endocrinology and Medicine.
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.