Kenly Wuputra

24 papers and 334 indexed citations i.

About

Kenly Wuputra is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Kenly Wuputra has authored 24 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Kenly Wuputra’s work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Cells and Metastasis (6 papers). Kenly Wuputra is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Cells and Metastasis (6 papers). Kenly Wuputra collaborates with scholars based in Taiwan, Japan and United States. Kenly Wuputra's co-authors include Kazunari K. Yokoyama, Shigeo Saito, Chia‐Chen Ku, Chang‐Shen Lin, Ying‐Chu Lin, Deng‐Chyang Wu, Kung‐Kai Kuo, Jia-Bin Pan, Yukio Nakamura and Ker-Kong Chen and has published in prestigious journals such as Scientific Reports, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Kenly Wuputra i

Fields of papers citing papers by Kenly Wuputra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kenly Wuputra

Since Specialization
Citations

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