Statistical Applications in Genetics and Molecular Biology
578 papers
receiving
28.7k citations
Peers
Statistical Applications in Genetics and Molecular Biology
Comparison fields: 5 of 218
Statistics and Probability2.8k
Molecular Biology13.9k
Cancer Research2.3k
Genetics4.2k
Aging147
Replace The R Journal with:
The R JournalUnited States
Critical Reviews in Clinical Laboratory SciencesUnited States
Wiley Interdisciplinary Reviews Computational StatisticsUnited States
Annual Review of Genomics and Human GeneticsUnited States
JNCI MonographsUnited States
WIREs Systems Biology and MedicineUnited States
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Statistical Applications in Genetics and Molecular Biologyrelative toThe R JournalUnited StatesThe R Journal's profile →
Citations per field
00.5×2×4×6×8.8×
The R Journal · 1×
×1.93k/1kSP
×4.614k/3kMB
×8.82k/261CR
×1.74k/3kGENET
×2.9147/51AGING
Citations per year
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Countries where authors publish in Statistical Applications in Genetics and Molecular Biology
Since Specialization
Citations
This map shows the geographic impact of research published in Statistical Applications in Genetics and Molecular Biology. 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 papers published in Statistical Applications in Genetics and Molecular Biology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistical Applications in Genetics and Molecular Biology more than expected).
Fields of papers published in Statistical Applications in Genetics and Molecular Biology
This network shows the impact of papers published in Statistical Applications in Genetics and Molecular Biology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Statistical Applications in Genetics and Molecular Biology.
About Statistical Applications in Genetics and Molecular Biology
The 607 papers published in Statistical Applications in Genetics and Molecular Biology in the last decades have received a total of 29.4k indexed citations . Papers published in Statistical Applications in Genetics and Molecular Biology usually cover Statistics and Probability (107 papers), Genetics (236 papers), Molecular Biology (451 papers), Management Science and Operations Research (42 papers) and Artificial Intelligence (89 papers) specifically the topics of Gene expression and cancer classification (312 papers), Genetic Mapping and Diversity in Plants and Animals (117 papers), Bioinformatics and Genomic Networks (116 papers), Genetic Associations and Epidemiology (97 papers), Genetic and phenotypic traits in livestock (75 papers), Gene Regulatory Network Analysis (58 papers), Statistical Methods and Inference (49 papers) and Bayesian Methods and Mixture Models (47 papers). The most active scholars publishing in Statistical Applications in Genetics and Molecular Biology are Gordon Smyth, Steve Horvath, Bin Zhang, Mark J. van der Laan, Korbinian Strimmer, Eric C. Polley, Juliane Schäfer, Alan Hubbard, Robert John Tibshirani and Daniela Witten.
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.