This map shows the geographic impact of research published in Sugar Tech. 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 Sugar Tech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sugar Tech more than expected).
This network shows the impact of papers published in Sugar Tech. 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 Sugar Tech.
About Sugar Tech
The 2.0k papers published in Sugar Tech in the last decades have received a total of 21.4k indexed citations . Papers published in Sugar Tech usually cover Horticulture (57 papers), Plant Science (1.5k papers), Soil Science (192 papers), Agronomy and Crop Science (123 papers) and Biotechnology (91 papers) specifically the topics of Sugarcane Cultivation and Processing (1.0k papers), Biofuel production and bioconversion (393 papers), Natural Products and Biological Research (343 papers), Rice Cultivation and Yield Improvement (279 papers), Plant tissue culture and regeneration (136 papers), Plant Pathogenic Bacteria Studies (99 papers), Plant nutrient uptake and metabolism (96 papers) and Genetics and Plant Breeding (82 papers). The most active scholars publishing in Sugar Tech are S. Solomon, R. Viswanathan, Yang‐Rui Li, G. P. Rao, Li‐Tao Yang, Yong‐Bao Pan, S. K. Uppal, P. Malathi, Kingsley O. Iwuozor and Paulo César Sentelhas.
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.