This map shows the geographic impact of research published in Rice Science. 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 papers published in Rice Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rice Science more than expected).
This network shows the impact of papers published in Rice Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Rice Science.
About Rice Science
The 928 papers published in Rice Science in the last decades have received a total of 18.5k indexed citations . Papers published in Rice Science usually cover Plant Science (811 papers), Genetics (224 papers), Soil Science (48 papers), Nutrition and Dietetics (64 papers) and Molecular Biology (204 papers) specifically the topics of Rice Cultivation and Yield Improvement (349 papers), GABA and Rice Research (277 papers), Genetic Mapping and Diversity in Plants and Animals (219 papers), Plant Stress Responses and Tolerance (130 papers), Plant responses to water stress (115 papers), Plant Molecular Biology Research (78 papers), Plant Disease Resistance and Genetics (77 papers) and Plant-Microbe Interactions and Immunity (73 papers). The most active scholars publishing in Rice Science are Longping Yuan, Alok Shukla, Veena Pandey, Debabrata Panda, Swati S. Mishra, Prem Prakash Srivastav, Deepak Kumar Verma, Jingfeng Huang, D. Jini and Baby Joseph.
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.