Jinlu Cai
Impact in
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- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Congenital heart defects research 2
- CRISPR and Genetic Engineering 2
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Bernice E. Morrow (3 shared papers)Brett S. Abrahams (2 shared papers)Joy Samanich (2 shared papers)Susan E. Maloney (1 shared paper)Michael A. Rieger (1 shared paper)Saima Riazuddin (1 shared paper)David F. Wozniak (1 shared paper)Lisa I. Sonnenblick (1 shared paper)
- Journals
- PLoS ONE (2 papers)G3 Genes Genomes Genetics (1 paper)Journal of Neuroscience (1 paper)RSC Advances (1 paper)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jinlu Cai
9 papers receiving 236 citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 21
- Sensory Systems 19
- Neurology 13
- Genetics 44
- Molecular Biology 99
Countries citing papers authored by Jinlu Cai
This map shows the geographic impact of Jinlu Cai'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 Jinlu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlu Cai more than expected).
Fields of papers citing papers by Jinlu Cai
This network shows the impact of papers produced by Jinlu Cai. 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 Jinlu Cai. The network helps show where Jinlu Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlu Cai, 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 | 2013 | 71 | |
| 2 | 2015 | 60 | |
| 3 | 2016 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2013 | 19 | |
| 6 | 2015 | 17 | |
| 7 | 2015 | 14 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 2 |
About Jinlu Cai
Jinlu Cai is a scholar working on Molecular Biology, Genetics, Plant Science, Otorhinolaryngology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers), Congenital heart defects research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), CRISPR and Genetic Engineering (2 papers), Autism Spectrum Disorder Research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (21 citations), Sensory Systems (19 citations), Neurology (13 citations), Genetics (44 citations) and Molecular Biology (99 citations). Jinlu Cai has collaborated with scholars based in United States and China. Frequent co-authors include Bernice E. Morrow, Brett S. Abrahams, Joy Samanich, Susan E. Maloney, Michael A. Rieger, Saima Riazuddin, David F. Wozniak, Lisa I. Sonnenblick, Arnaud P. J. Giese and Zubair M. Ahmed. Their work appears in journals such as PLoS ONE, G3 Genes Genomes Genetics, Journal of Neuroscience, RSC Advances and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.
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.