Lisha Kuang
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 8
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research 5
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- RNA Research and Splicing 6
- Natural product bioactivities and synthesis 3
- Cancer-related gene regulation 2
- Glycosylation and Glycoproteins Research 1
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- Amyotrophic Lateral Sclerosis Research 8
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- Phytochemistry and Biological Activities 2
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- Bioactive Compounds and Antitumor Agents 1
- Co-authors
- Haining ZhuJing ChenEdward J. KasarskisJózsef GálHuan JinMin QianKelly R. BarnettJianjun Zhai
- Cited by
- NeurologyGeneticsMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Neurochemistry (1 paper)Human Molecular Genetics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lisha Kuang
18 papers receiving 656 citations
Peers
Comparison fields: 5 of 83
- Neurology 236
- Genetics 153
- Molecular Biology 479
- Neurology 40
- Cell Biology 48
Countries citing papers authored by Lisha Kuang
This map shows the geographic impact of Lisha Kuang'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 Lisha Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Kuang more than expected).
Fields of papers citing papers by Lisha Kuang
This network shows the impact of papers produced by Lisha Kuang. 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 Lisha Kuang. The network helps show where Lisha Kuang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisha Kuang, 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 | 2023 | 0 | |
| 2 | 2022 | 42 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 128 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 100 | |
| 10 | 2016 | 88 | |
| 11 | The proliferative and migratory effects of physical injury and stromal cell-derived factor-1α on rat cardiomyocytes and fibroblasts. | 2015 | 9 |
| 12 | 2013 | 21 | |
| 13 | 2012 | 32 | |
| 14 | 2011 | 16 | |
| 15 | 2010 | 65 | |
| 16 | 2009 | 26 | |
| 17 | 2009 | 18 | |
| 18 | 2007 | 15 | |
| 19 | 2007 | 3 |
About Lisha Kuang
Lisha Kuang is a scholar working on Neurology, Genetics and Toxicology, having authored 19 papers that have together received 664 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), RNA Research and Splicing (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Natural product bioactivities and synthesis (3 papers), Phytochemistry and Biological Activities (2 papers), Cancer-related gene regulation (2 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Neurology (236 citations), Genetics (153 citations) and Molecular Biology (479 citations). Lisha Kuang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haining Zhu, Jing Chen, Edward J. Kasarskis, József Gál, Huan Jin, Min Qian, Kelly R. Barnett, Jianjun Zhai, Bing Du and Lawrence J. Hayward. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neurochemistry and Human Molecular Genetics.
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.