Congyi Lu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 8
- Neuropeptides and Animal Physiology 6
- Neuroscience and Neural Engineering 3
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- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 4
- Single-cell and spatial transcriptomics 3
- Co-authors
- Zhanyan Fu (7 shared papers)Stefano Vicini (5 shared papers)Neville E. Sanjana (9 shared papers)Guoping Feng (3 shared papers)Isabel Trogh (1 shared paper)Gemma Walton (1 shared paper)Filip Arnaut (1 shared paper)Glenn R. Gibson (1 shared paper)
- Journals
- Oncogene (2 papers)Oncotarget (2 papers)Journal of Neurophysiology (2 papers)Journal of Biological Chemistry (2 papers)Molecular Psychiatry (1 paper)
- Partner nations
- United StatesPolandChina
In The Last Decade
Congyi Lu
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 507
- Developmental Neuroscience 81
- Cognitive Neuroscience 297
- Genetics 246
- Molecular Biology 597
Countries citing papers authored by Congyi Lu
This map shows the geographic impact of Congyi 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 Congyi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congyi Lu more than expected).
Fields of papers citing papers by Congyi Lu
This network shows the impact of papers produced by Congyi 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 Congyi Lu. The network helps show where Congyi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Congyi 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 246 | |
| 2 | 2017 | 124 | |
| 3 | 2022 | 120 | |
| 4 | 2012 | 105 | |
| 5 | 2009 | 99 | |
| 6 | 2004 | 77 | |
| 7 | 2018 | 76 | |
| 8 | 2005 | 57 | |
| 9 | 2010 | 56 | |
| 10 | 2011 | 54 | |
| 11 | 2006 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2014 | 30 | |
| 14 | 2019 | 27 | |
| 15 | 2015 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2005 | 23 | |
| 18 | 2014 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2018 | 18 |
About Congyi Lu
Congyi Lu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Oncology and Neurology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neuropeptides and Animal Physiology (6 papers), CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Neuroblastoma Research and Treatments (3 papers), Autism Spectrum Disorder Research (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (507 citations), Developmental Neuroscience (81 citations), Cognitive Neuroscience (297 citations), Genetics (246 citations) and Molecular Biology (597 citations). Congyi Lu has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Zhanyan Fu, Stefano Vicini, Neville E. Sanjana, Guoping Feng, Isabel Trogh, Gemma Walton, Filip Arnaut, Glenn R. Gibson, Joanna Kitlińska and Kentaroh Takagaki. Their work appears in journals such as Oncogene, Oncotarget, Journal of Neurophysiology, Journal of Biological Chemistry and Molecular Psychiatry.
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.