Ni Wang

94 papers and 1.8k indexed citations i.

About

Ni Wang is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Ni Wang has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Artificial Intelligence and 16 papers in Oncology. Recurrent topics in Ni Wang’s work include Growth Hormone and Insulin-like Growth Factors (7 papers), Machine Learning in Healthcare (6 papers) and Electrocatalysts for Energy Conversion (6 papers). Ni Wang is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Machine Learning in Healthcare (6 papers) and Electrocatalysts for Energy Conversion (6 papers). Ni Wang collaborates with scholars based in China, Canada and United States. Ni Wang's co-authors include Pnina Brodt, Rui Cao, Patrick Auguste, Lucia Fallavollita, Wei Zhang, Zongyao Zhang, Julia V. Burnier, Haitao Lei, Jianfeng Li and Andréas Bikfalvi and has published in prestigious journals such as The Lancet, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Ni Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ni Wang

Since Specialization
Citations

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