Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep00286 →Countries where authors are citing Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport
This map shows the geographic impact of Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport. 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 Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport more than expected).
Fields of papers citing Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport
This network shows the impact of Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport.
About Characterizing the role of rice NRAMP5 in Manganese, Iron and Cadmium Transport
This paper, published in 2012, received 421 indexed citations . Written by Yasuhiro Ishimaru, Ryuichi Takahashi, Khurram Bashir, Hugo Shimo, Takeshi Senoura, Kazuhiko Sugimoto, Kazuko Ono, Masahiro Yano, Satoru Ishikawa and Tomohito Arao covering the research area of Plant Science. It is primarily cited by scholars working on Plant Science (379 citations), Pollution (154 citations) and Analytical Chemistry (28 citations). Published in Scientific Reports.
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.
This paper is also available at doi.org/10.1038/srep00286.