Feng Ni

165 papers and 3.2k indexed citations i.

About

Feng Ni is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Feng Ni has authored 165 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 22 papers in Oncology and 22 papers in Organic Chemistry. Recurrent topics in Feng Ni’s work include Protein Structure and Dynamics (22 papers), Chemical Synthesis and Analysis (19 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Feng Ni is often cited by papers focused on Protein Structure and Dynamics (22 papers), Chemical Synthesis and Analysis (19 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Feng Ni collaborates with scholars based in China, Canada and United States. Feng Ni's co-authors include Harold A. Scheraga, Ping Xu, Yasuo Konishi, Dmitri Tolkatchev, Ping Xu, Jianxing Song, Harold A. Scheraga, Daniel R. Ripoll, John DiMaio and George C. Levy and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Feng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Ni

Since Specialization
Citations

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