Feng-Yi Ke

About

Feng-Yi Ke is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Feng-Yi Ke has authored 7 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Feng-Yi Ke’s work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 detection and testing (2 papers). Feng-Yi Ke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 detection and testing (2 papers). Feng-Yi Ke collaborates with scholars based in Taiwan. Feng-Yi Ke's co-authors include Han‐Chung Wu, Kang-Hao Liang, Shih-Chieh Su, Shih-Han Ko, Ruei‐Min Lu, Yi‐Ping Wang, Chia-Ching Lin, Hsuan‐Yu Chen, Pan‐Chyr Yang and Hsin‐Jung Li and has published in prestigious journals such as Cancer Research, Cancer Letters and Journal of Biomedical Science.

In The Last Decade

Co-authorship network of co-authors of Feng-Yi Ke i

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Fields of papers citing papers by Feng-Yi Ke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng-Yi Ke

Since Specialization

Citations

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