Hong Dai

139 papers and 4.0k indexed citations i.

About

Hong Dai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Hong Dai has authored 139 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 27 papers in Oncology and 20 papers in Immunology. Recurrent topics in Hong Dai’s work include Uterine Myomas and Treatments (12 papers), Astrophysics and Cosmic Phenomena (11 papers) and Endometriosis Research and Treatment (11 papers). Hong Dai is often cited by papers focused on Uterine Myomas and Treatments (12 papers), Astrophysics and Cosmic Phenomena (11 papers) and Endometriosis Research and Treatment (11 papers). Hong Dai collaborates with scholars based in China, United States and Japan. Hong Dai's co-authors include Kexin Chen, Fengju Song, Thomas M. Wheeler, Rile Li and Gustavo E. Ayala and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Astrophysical Journal.

In The Last Decade

Fields of papers citing papers by Hong Dai

Since Specialization

EngineeringComputer 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 Hong Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hong Dai may publish in the future.

Countries citing papers authored by Hong Dai

Since Specialization

Citations

This map shows the geographic impact of Hong Dai'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 Hong Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Dai more than expected).

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