In Silico Biology

6.1k citations
356 papers · · active since 1950

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis
    • Protein Structure and Dynamics
    • Microbial Metabolic Engineering and Bioproduction
    • vaccines and immunoinformatics approaches

Papers in

    • RNA and protein synthesis mechanisms 81
    • Genomics and Phylogenetic Studies 75
    • Machine Learning in Bioinformatics 58
    • Bioinformatics and Genomic Networks 54
    • Gene expression and cancer classification 36
    • Gene Regulatory Network Analysis 35
    • Protein Structure and Dynamics 30

In Silico Biology

333 papers receiving 5.7k citations

Peers

In Silico Biology
Comparison fields: 5 of 166
  • Molecular Biology 4.3k
  • Microbiology 169
  • Endocrinology 130
  • Genetics 627
  • Computational Theory and Mathematics 397
Replace Journal of Structural and Functional Genomics with:
Journal of Structural and Functional Genomics United States
Bioinformatics and Biology Insights United States
Theoretical Biology and Medical Modelling United States
Comparative and Functional Genomics United States
Methods of biochemical analysis United States
Current Protocols in Protein Science United States
BioData Mining United States
Emerging Topics in Life Sciences United Kingdom
BioMolecular Concepts United States
Recent Patents on Biotechnology India
In Silico Biology relative to Journal of Structural and Functional Genomics United States Journal of Structural and Functional Genomics's profile →
Citations per field
00.5×1.5×
Journal of Structural and Functional Genomics · 1×
Citations per year

Countries where authors publish in In Silico Biology

Since Specialization
Citations

This map shows the geographic impact of research published in In Silico 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 In Silico Biology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In Silico Biology more than expected).

Fields of papers published in In Silico Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in In Silico 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 In Silico Biology.

About In Silico Biology

The 356 papers published in In Silico Biology in the last decades have received a total of 6.1k indexed citations . Papers published in In Silico Biology usually cover Molecular Biology (287 papers), Virology (6 papers), Genetics (37 papers), Computational Theory and Mathematics (22 papers) and Endocrinology (6 papers) specifically the topics of RNA and protein synthesis mechanisms (81 papers), Genomics and Phylogenetic Studies (75 papers), Machine Learning in Bioinformatics (58 papers), Bioinformatics and Genomic Networks (54 papers), Gene expression and cancer classification (36 papers), Gene Regulatory Network Analysis (35 papers), Protein Structure and Dynamics (30 papers) and Bacteriophages and microbial interactions (26 papers). The most active scholars publishing in In Silico Biology are Meena Kishore Sakharkar, Vincent Chow, Gajendra P. S. Raghava, Pandjassarame Kangueane, Alexandre G. de Brevern, Kishore R. Sakharkar, Michael Y. Galperin, Eugene V. Koonin, L. Aravind and Ralf Hofestädt.

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.

Explore journals with similar magnitude of impact