Daniel Kita

10 papers and 1.8k indexed citations i.

About

Daniel Kita is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Daniel Kita has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Daniel Kita’s work include Plant Reproductive Biology (7 papers), Plant Molecular Biology Research (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Kita is often cited by papers focused on Plant Reproductive Biology (7 papers), Plant Molecular Biology Research (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Kita collaborates with scholars based in United States, China and Taiwan. Daniel Kita's co-authors include Alice Y. Cheung, Qiaohong Duan, Hen‐Ming Wu, Chao Li, Ming‐Che Liu, Eric A. Johnson, Ina Schmitz-Thom, José R. Dinneny, Wei Feng and Jörg Kudla and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Daniel Kita i

Fields of papers citing papers by Daniel Kita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Kita

Since Specialization
Citations

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