Long Cai
- Biophysics top 0.05%
- Cell Image Analysis Techniques 13
- Advanced Fluorescence Microscopy Techniques 8
- Molecular Biology top 0.5%
- Single-cell and spatial transcriptomics 29
- Gene Regulatory Network Analysis 11
- RNA Research and Splicing 9
- Genomics and Chromatin Dynamics 6
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Cancer Research top 2%
- Structural Biology top 5%
- Aging top 5%
- Co-authors
- Nir FriedmanEric LubeckSheel ShahXiaoliang Sunney XieMichael B. ElowitzX. Sunney XieGuo‐Cheng YuanYodai Takei
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Long Cai
53 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biophysics 1.8k
- Molecular Biology 7.7k
- Cancer Research 740
- Structural Biology 66
- Aging 78
Countries citing papers authored by Long Cai
This map shows the geographic impact of Long 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 Long Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Cai more than expected).
Fields of papers citing papers by Long Cai
This network shows the impact of papers produced by Long 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 Long Cai. The network helps show where Long Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Long 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 | 2024 | 25 | |
| 2 | Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolutionbreakdown → | 2021 | 184 |
| 3 | 2021 | 80 | |
| 4 | 2021 | 83 | |
| 5 | Integrated spatial genomics reveals global architecture of single nucleibreakdown → | 2021 | 249 |
| 6 | Giotto: a toolbox for integrative analysis and visualization of spatial expression databreakdown → | 2021 | 510 |
| 7 | 2021 | 29 | |
| 8 | 2019 | 166 | |
| 9 | The adult human testis transcriptional cell atlasbreakdown → | 2018 | 422 |
| 10 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleusbreakdown → | 2018 | 568 |
| 11 | 2018 | 151 | |
| 12 | 2018 | 216 | |
| 13 | In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampusbreakdown → | 2016 | 471 |
| 14 | 2016 | 295 | |
| 15 | 2015 | 196 | |
| 16 | 2012 | 7 | |
| 17 | A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell | 2009 | 0 |
| 18 | 2008 | 329 | |
| 19 | 2006 | 491 | |
| 20 | 2001 | 140 |
About Long Cai
Long Cai is a scholar working on Biophysics, Structural Biology and Molecular Biology, having authored 55 papers that have together received 9.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (29 papers), Cell Image Analysis Techniques (13 papers), Gene Regulatory Network Analysis (11 papers), RNA Research and Splicing (9 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Biophysics (1.8k citations), Molecular Biology (7.7k citations) and Cancer Research (740 citations). Long Cai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nir Friedman, Eric Lubeck, Sheel Shah, Xiaoliang Sunney Xie, Michael B. Elowitz, X. Sunney Xie, Guo‐Cheng Yuan, Yodai Takei, Jina Yun and Wen Zhou. Their work appears in journals such as Nature, Cell, Science, Nature Biotechnology and Nature Methods.
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.