Long Cai
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 8.6k 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 Sheel Shah, Michael B. Elowitz, Guo‐Cheng Yuan, Eric Lubeck and Yodai Takei and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Fields of papers citing papers by Long Cai
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Long Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Cai may publish in the future.
Countries citing papers authored by Long Cai
Since SpecializationCitations
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).
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