Current Biology - Research Trend & Keyword Hotspot Statistics
Current Biology - ISSN
The ISSN of Current Biology is 09609822. An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.
Current Biology - Subscription (non-OA) Journal
Current Biology is a Subscription-based (non-OA) Journal. Publishers own the rights to the articles in their journals. Anyone who wants to read the articles should pay by individual or institution to access the articles. Anyone who wants to use the articles in any way must obtain permission from the publishers.
Current Biology - Publisher
Current Biology is published by Cell Press,
which is located in the United States.
The Publication History of Current Biology covers 1991-ongoing.
Current Biology - Categories
Current Biology is a peer-reviewed scientific journal.
The scope of Current Biology covers
Agricultural and Biological Sciences (miscellaneous) (Q1), Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1).
The Impact Factor 2018 of Current Biology is
9.193, which is just updated in 2019.
The Impact Factor measures the average number of citations received in a particular year (2018) by papers published in the journal during the two preceding years (2016-2017).
Compared with historical Impact Factor, the Impact Factor 2018 of Current Biology drooped by
The Impact Factor Quartile of Current Biology is
Besides, 77% scientific research articles published by Current Biology have received at least 1 citation in 2018. In addition to the 2-year Impact Factor, the 3-year Impact Factor and 5-year Impact Factor can provide further insights into the impact of Current Biology.
Current Biology - Impact Factor Trend Prediction System
Impact Factor Trend Prediction System provides an open, transparent, and straightforward platform to help academic researchers Predict future journal impact and performance through the wisdom of crowds. Impact Factor Trend Prediction System displays the exact community-driven Data without secret algorithms, hidden factors, or systematic delay.