9.800

  • ISSN
  • 17444292
  • Open Access
  • Publisher
  • Wiley-Blackwell
  • Country/Region
  • United States
  • History
  • Categories
  • Agricultural and Biological Sciences (miscellaneous) (Q1), Applied Mathematics (Q1), Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1), Computational Theory and Mathematics (Q1), Immunology and Microbiology (miscellaneous) (Q1), Information Systems (Q1), Medicine (miscellaneous) (Q1)

Molecular Systems Biology - ISSN

The ISSN of Molecular Systems Biology is 17444292. 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.

Molecular Systems Biology - ISSN

Molecular Systems Biology - Open Access Journal

Molecular Systems Biology is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Much scientific and medical research is paid for with public funds. Open Access allows taxpayers to see the results of their investment.

Molecular Systems Biology - Open Access

Molecular Systems Biology - Publisher

Molecular Systems Biology is published by Wiley-Blackwell, which is located in the United States. The Publication History of Molecular Systems Biology covers 2005-ongoing.

Molecular Systems Biology - Publisher

Molecular Systems Biology - Categories

Molecular Systems Biology is a peer-reviewed scientific journal. The scope of Molecular Systems Biology covers Agricultural and Biological Sciences (miscellaneous) (Q1), Applied Mathematics (Q1), Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1), Computational Theory and Mathematics (Q1), Immunology and Microbiology (miscellaneous) (Q1), Information Systems (Q1), Medicine (miscellaneous) (Q1).

Molecular Systems Biology - Categories

Molecular Systems Biology - Journal Metrics

It is impossible to get a true picture of impact using a single metric alone, so a basket of metrics is needed to support informed decisions. In addition to Abbreviation, Acceptance Rate, Review Speed, Research Hotspot and Template, several advanced Journal Metrics including Citescore, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper) can provide you comprehensive insights into the Molecular Systems Biology.

Molecular Systems Biology - Journal Metrics

Impact Factor 2018

Updated in 2019

9.800 15.29%

People also search for: Physics of Life Reviews, Biological Reviews, Studies in Mycology, Current Biology, PLoS Biology, more.

Molecular Systems Biology - Impact Factor

The Impact Factor 2018 of Molecular Systems Biology is 9.800, which is just updated in 2019. Compared with historical Impact Factor data, the Impact Factor 2018 of Molecular Systems Biology grew by 15.29% . The Impact Factor Quartile of Molecular Systems Biology is Q1. The Impact Factor (IF) or Journal Impact Factor (JIF) of an academic journal is a scientometric index that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. 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). Note that 2018 impact factors are reported in 2019; they cannot be calculated until all of the 2018 publications have been processed by the indexing agency. Besides, 90% scientific research articles published by Molecular Systems 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 Molecular Systems Biology.

 Impact Factor 2018-19


Molecular Systems 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.

Molecular Systems Biology Impact Factor Trend Forecasting System
 Real-Time Impact Factor Prediction & 2017 2018 2019 IF Impact Factor Trend - Academic Accelerator
Molecular Systems Biology Impact Factor Trend. The chart clearly shows an uptrend of Impact Factor in 2018.
  • Impact Factor 2017 8.500
  • Impact Factor 2016 9.750
  • Impact Factor 2015 10.581

54


  • Article Volume 2017 55
  • Article Volume 2016 30
  • Article Volume 2015 64

Journal Ranking