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The Crop Journal

The Crop Journal is a bi-monthly, international, peer-reviewed research journal covering all aspects of crop sciences, including crop genetics, breeding, agronomy, crop physiology, germplasm resources, grain chemistry, grain storage and processing, crop management practices, crop biotechnology, and biomathematics. Article types include Original Research, Reviews, and Short Communications. The readership of the journal includes crop science researchers, students of agricultural colleges and universities, and individuals with similar academic levels. Our strict peer-review procedure guarantees the academic level of publications and enhances the reputation of the journal. The Crop Journal互联网彩票最新消息2020 is indexed in international index systems such as SCIE, Scopus, DOAJ, AGRIS (FAO), CAB Abstracts, Chemical Abstracts, and Food Science and Technology Abstracts.

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Editor-in-Chief: Jianmin Wan
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Journal Metrics
Source Normalized Impact per Paper (SNIP): 1.782
Source Normalized Impact per Paper (SNIP):
2013: 1.782
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.305
SCImago Journal Rank (SJR):
2013: 1.305
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 3.179
Impact Factor:
2018: 3.179
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© Thomson Reuters Journal Citation Reports 2019
Imprint: Crop Science Society of China and Institute of Crop Sciences, CAAS
ISSN: 2214-5141
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The most downloaded articles from The Crop Journal in the last 90 days.
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The most cited articles published since 2015, extracted from .

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Special issues published in The Crop Journal.
Volume 5, Issue 2 (2017)
Volume 4, Issue 5 (2016)
Volume 3, Issue 3 (2015)
Quantitative Genetics in the Omics Era
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