Long Cai

53 papers and 8.8k indexed citations i.

About

Long Cai is a scholar working on Molecular Biology, Biophysics and Biomedical Engineering. According to data from OpenAlex, Long Cai has authored 53 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Biophysics and 4 papers in Biomedical Engineering. Recurrent topics in Long Cai’s work include Single-cell and spatial transcriptomics (28 papers), Cell Image Analysis Techniques (12 papers) and Gene Regulatory Network Analysis (10 papers). Long Cai is often cited by papers focused on Single-cell and spatial transcriptomics (28 papers), Cell Image Analysis Techniques (12 papers) and Gene Regulatory Network Analysis (10 papers). Long Cai collaborates with scholars based in United States, China and United Kingdom. Long Cai's co-authors include Nir Friedman, Eric Lubeck, Sheel Shah, Xiaoliang Sunney Xie, X. Sunney Xie, Michael B. Elowitz, Guo‐Cheng Yuan, Yodai Takei, Jina Yun and Chiraj K. Dalal and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Long Cai i

Fields of papers citing papers by Long Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Long Cai

Since Specialization
Citations

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).

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.

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2025