Ying‐Jin Lu
Impact in
-
- Nerve injury and regeneration
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Neuropeptides and Animal Physiology 6
- Nerve injury and regeneration 4
- Neuroscience and Neuropharmacology Research 3
- Neurobiology and Insect Physiology Research 3
- Physiology 14
- Pain Mechanisms and Treatments 13
- Co-authors
- Lan Bao (20 shared papers)Huasheng Xiao (6 shared papers)Fang‐Xiong Zhang (5 shared papers)Dan Wu (6 shared papers)Kaicheng Li (6 shared papers)Yanqing Zhong (5 shared papers)Xu Zhang (5 shared papers)Xiping Cheng (1 shared paper)
- Journals
- Cell Research (6 papers)Journal of Neuroscience (4 papers)Molecular Pain (2 papers)Neuron (2 papers)European Journal of Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying‐Jin Lu
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 656
- Sensory Systems 151
- Physiology 737
- Developmental Neuroscience 87
- Neurology 111
Countries citing papers authored by Ying‐Jin Lu
This map shows the geographic impact of Ying‐Jin 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 Ying‐Jin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Jin Lu more than expected).
Fields of papers citing papers by Ying‐Jin Lu
This network shows the impact of papers produced by Ying‐Jin 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 Ying‐Jin Lu. The network helps show where Ying‐Jin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying‐Jin 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 437 | |
| 2 | 2015 | 349 | |
| 3 | 2021 | 127 | |
| 4 | 2002 | 93 | |
| 5 | 2003 | 92 | |
| 6 | 2011 | 70 | |
| 7 | 2010 | 64 | |
| 8 | 2017 | 60 | |
| 9 | 2011 | 42 | |
| 10 | 2015 | 35 | |
| 11 | 2000 | 33 | |
| 12 | 2002 | 29 | |
| 13 | 2012 | 27 | |
| 14 | 2019 | 23 | |
| 15 | 2022 | 15 | |
| 16 | 2018 | 12 | |
| 17 | 2023 | 8 | |
| 18 | 2007 | 8 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 3 |
About Ying‐Jin Lu
Ying‐Jin Lu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Sensory Systems and Rehabilitation, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Ion channel regulation and function (6 papers), Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Ion Channels and Receptors (3 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (656 citations), Sensory Systems (151 citations), Physiology (737 citations), Developmental Neuroscience (87 citations) and Neurology (111 citations). Ying‐Jin Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lan Bao, Huasheng Xiao, Fang‐Xiong Zhang, Dan Wu, Kaicheng Li, Yanqing Zhong, Xu Zhang, Xiping Cheng, Gang Fu and Ze‐Guang Han. Their work appears in journals such as Cell Research, Journal of Neuroscience, Molecular Pain, Neuron and European Journal of Neuroscience.
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.