Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources
- Authors
- Alexander Weremfo
In The Last Decade
doi.org/10.1002/jsfa.12121 →Countries where authors are citing Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources
This map shows the geographic impact of Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources. 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 Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources more than expected).
Fields of papers citing Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources
This network shows the impact of Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources.
About Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources
This paper, published in 2022, received 119 indexed citations . Written by Alexander Weremfo covering the research area of Plant Science, Analytical Chemistry and Spectroscopy. It is primarily cited by scholars working on Food Science (36 citations), Biochemistry (29 citations) and Plant Science (28 citations). Published in Journal of the Science of Food and Agriculture.
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/10.1002/jsfa.12121.