Congyi Lu
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Developmental Neuroscience top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 7
- Neuropeptides and Animal Physiology 2
- Genetics 7
- Genetics and Neurodevelopmental Disorders 4
- Virus-based gene therapy research 3
- Co-authors
- Zhanyan Fu (7 shared papers)Stefano Vicini (5 shared papers)Neville E. Sanjana (9 shared papers)Guoping Feng (3 shared papers)Dongqing Wang (2 shared papers)Feng Zhang (4 shared papers)Joanna B. Kitlinska (7 shared papers)Jen Q. Pan (5 shared papers)
- Journals
- Oncogene (3 papers)Nature Communications (2 papers)Oncotarget (2 papers)Journal of Neurophysiology (2 papers)Nature (2 papers)
- Partner nations
- United StatesPolandChina
In The Last Decade
Congyi Lu
29 papers receiving 1.7k citations
Congyi Lu's Hit Papers
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 527
- Developmental Neuroscience 52
- Cognitive Neuroscience 300
- Genetics 356
- Oncology 134
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A viral strategy for targeting and manipulating interneurons across vertebrate species Hit paper breakdown → | 2016 | 381 |
| 2 | 2015 | 265 | |
| 3 | 2022 | 139 | |
| 4 | 2017 | 132 | |
| 5 | 2009 | 99 | |
| 6 | 2018 | 80 | |
| 7 | 2004 | 78 | |
| 8 | 2010 | 59 | |
| 9 | 2005 | 58 | |
| 10 | 2011 | 56 | |
| 11 | 2006 | 38 | |
| 12 | 2013 | 37 | |
| 13 | 2022 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2019 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 28 | |
| 18 | 2005 | 24 | |
| 19 | 2014 | 23 | |
| 20 | 2018 | 22 |
About Congyi Lu
Congyi Lu is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Neurology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Pluripotent Stem Cells Research (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Genetics and Neurodevelopmental Disorders (4 papers), Virus-based gene therapy research (3 papers), Neuropeptides and Animal Physiology (2 papers), Neuroblastoma Research and Treatments (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (527 citations), Developmental Neuroscience (52 citations), Cognitive Neuroscience (300 citations), Genetics (356 citations) and Oncology (134 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, Dongqing Wang, Feng Zhang, Joanna B. Kitlinska, Jen Q. Pan, Jason Ulip Tilan and Kentaroh Takagaki. Their work appears in journals such as Oncogene, Nature Communications, Oncotarget, Journal of Neurophysiology and Nature.
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.