Bing Ni

254 papers and 5.1k indexed citations i.

About

Bing Ni is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Bing Ni has authored 254 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 99 papers in Immunology and 38 papers in Cancer Research. Recurrent topics in Bing Ni’s work include Immunotherapy and Immune Responses (42 papers), Immune Cell Function and Interaction (40 papers) and T-cell and B-cell Immunology (27 papers). Bing Ni is often cited by papers focused on Immunotherapy and Immune Responses (42 papers), Immune Cell Function and Interaction (40 papers) and T-cell and B-cell Immunology (27 papers). Bing Ni collaborates with scholars based in China, United States and Hong Kong. Bing Ni's co-authors include Zhiqiang Tian, Yi Tian, Zhengcai Jia, Jun Tang and Huaizhi Wang and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Nucleic Acids Research.

In The Last Decade

Fields of papers citing papers by Bing Ni

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

Countries citing papers authored by Bing Ni

Since Specialization
Citations

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

Rankless by CCL
2025