Xiaoling Lu
Impact in
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
- Olfactory and Sensory Function Studies
- Neurology top 10%
- Vestibular and auditory disorders
Papers in
-
- Hearing, Cochlea, Tinnitus, Genetics 13
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- Wnt/β-catenin signaling in development and cancer 3
- Co-authors
- Renjie Chai (7 shared papers)Huawei Li (6 shared papers)Shan Sun (10 shared papers)Yanping Zhang (5 shared papers)Luo Guo (8 shared papers)Yan Chen (5 shared papers)Wenyan Li (5 shared papers)Mingliang Tang (3 shared papers)
- Journals
- Frontiers in Molecular Neuroscience (3 papers)Frontiers in Cellular Neuroscience (2 papers)Neural Plasticity (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Stem Cells (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoling Lu
27 papers receiving 478 citations
Peers
Comparison fields: 5 of 82
- Sensory Systems 300
- Neurology 102
- Otorhinolaryngology 28
- Cognitive Neuroscience 101
- Cancer Research 69
Countries citing papers authored by Xiaoling Lu
This map shows the geographic impact of Xiaoling Lu'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 Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Lu more than expected).
Fields of papers citing papers by Xiaoling Lu
This network shows the impact of papers produced by Xiaoling Lu. 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 Lu. The network helps show where Xiaoling Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Lu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | 2019 | 65 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 44 | |
| 5 | 2018 | 34 | |
| 6 | 2020 | 33 | |
| 7 | 2018 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2024 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Xiaoling Lu
Xiaoling Lu is a scholar working on Sensory Systems, Molecular Biology, Neurology, Cognitive Neuroscience and Cancer Research, having authored 29 papers that have together received 482 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (13 papers), Hearing Loss and Rehabilitation (5 papers), Cancer-related molecular mechanisms research (5 papers), Vestibular and auditory disorders (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Ear Surgery and Otitis Media (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Sensory Systems (300 citations), Neurology (102 citations), Otorhinolaryngology (28 citations), Cognitive Neuroscience (101 citations) and Cancer Research (69 citations). Xiaoling Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Renjie Chai, Huawei Li, Shan Sun, Yanping Zhang, Luo Guo, Yan Chen, Wenyan Li, Mingliang Tang, Shasha Zhang and Wenli Ni. Their work appears in journals such as Frontiers in Molecular Neuroscience, Frontiers in Cellular Neuroscience, Neural Plasticity, International Journal of Machine Learning and Cybernetics and Stem 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.