Shuai Ni

6 papers and 46 indexed citations i.

About

Shuai Ni is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Shuai Ni has authored 6 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Surgery and 1 paper in Epidemiology. Recurrent topics in Shuai Ni’s work include Animal Disease Management and Epidemiology (1 paper), Ginkgo biloba and Cashew Applications (1 paper) and Inverse Problems in Mathematical Physics and Imaging (1 paper). Shuai Ni is often cited by papers focused on Animal Disease Management and Epidemiology (1 paper), Ginkgo biloba and Cashew Applications (1 paper) and Inverse Problems in Mathematical Physics and Imaging (1 paper). Shuai Ni collaborates with scholars based in China, Germany and United States. Shuai Ni's co-authors include Francesco Raimondi, Asuka Inoue, Francois Marie Ngako Kadji, Bernd Fischer, Junken Aoki, J. Silvio Gutkind, Gurdeep Singh, Robert B. Russell, Rocı́o Sotillo and Yunxiang Hu and has published in prestigious journals such as Oncogene, Frontiers in Immunology and Virology.

In The Last Decade

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

Fields of papers citing papers by Shuai Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuai Ni

Since Specialization
Citations

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