Yun‐Bi Ni

53 papers and 1.3k indexed citations i.

About

Yun‐Bi Ni is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Yun‐Bi Ni has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 20 papers in Cancer Research and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Yun‐Bi Ni’s work include Breast Lesions and Carcinomas (17 papers), Breast Cancer Treatment Studies (13 papers) and Cancer and Skin Lesions (11 papers). Yun‐Bi Ni is often cited by papers focused on Breast Lesions and Carcinomas (17 papers), Breast Cancer Treatment Studies (13 papers) and Cancer and Skin Lesions (11 papers). Yun‐Bi Ni collaborates with scholars based in Hong Kong, China and Singapore. Yun‐Bi Ni's co-authors include Gary M. Tse, Julia Y. Tsang, Siu‐Ki Chan, Mumin Shao, Ka‐Fai To, Sai‐Yin Cheung, Jintao Hu, Puay Hoon Tan, Yuhua Huang and Siu Ki Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Gut.

In The Last Decade

Co-authorship network of co-authors of Yun‐Bi Ni i

Fields of papers citing papers by Yun‐Bi Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun‐Bi Ni

Since Specialization
Citations

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