Bin Ni

23 papers and 782 indexed citations i.

About

Bin Ni is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Bin Ni has authored 23 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Bin Ni’s work include COVID-19 and healthcare impacts (3 papers), MicroRNA in disease regulation (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Bin Ni is often cited by papers focused on COVID-19 and healthcare impacts (3 papers), MicroRNA in disease regulation (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Bin Ni collaborates with scholars based in United States, China and Czechia. Bin Ni's co-authors include Murugesan V. S. Rajaram, Larry S. Schlesinger, Ali Khademhosseini, William P. Lafuse, Baskar Bakthavachalu, Jordi B. Torrelles, Tracy Carlson, Daniel R. Schoenberg, Yibo Ling and Giovanni Talei Franzesi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Bin Ni i

Fields of papers citing papers by Bin Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Ni. 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 Bin Ni. The network helps show where Bin Ni may publish in the future.

Countries citing papers authored by Bin Ni

Since Specialization
Citations

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