Microbial Cellulose: Fermentative Production and Applications
Impact in
- Biomaterials 393
Classified as
- Journal
- University of Zagreb University Computing Centre (SRCE)
In The Last Decade
doi.org/w287918 →Countries where authors are citing Microbial Cellulose: Fermentative Production and Applications
This map shows the geographic impact of Microbial Cellulose: Fermentative Production and Applications. 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 Microbial Cellulose: Fermentative Production and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microbial Cellulose: Fermentative Production and Applications more than expected).
Fields of papers citing Microbial Cellulose: Fermentative Production and Applications
This network shows the impact of Microbial Cellulose: Fermentative Production and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Microbial Cellulose: Fermentative Production and Applications.
About Microbial Cellulose: Fermentative Production and Applications
This paper, published in 2009, received 522 indexed citations . Written by Ishwar B. Bajaj, Shrikant A. Survase and Rekha S. Singhal covering the research area of Plant Science, Biomedical Engineering and Biomaterials. It is primarily cited by scholars working on Biomaterials (393 citations), Biomedical Engineering (198 citations), Plant Science (180 citations), Biotechnology (83 citations) and Food Science (65 citations). Published in University of Zagreb University Computing Centre (SRCE).
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/w287918.