World's Best Scientists 2026 revealed!
Frontiers in Genetics
H-index 58

Frontiers in Genetics

1664-8021

Published by: Frontiers Media S.A.

https://www.frontiersin.org/journals/genetics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 18 620 786 37

Additional Metrics

Number of Best Scientists*: 2927
Documents by Best Scientists*: 2880
Top 100 Ranked Scientists*: 97
SCIMAGO H-index: 135
SCIMAGO SJR: 0.863
Impact Factor: 2.8

Overview

Top Research Topics at Frontiers in Genetics?

The discussions in the journal mainly cover the fields of Genetics, Gene, Computational biology, Genome and Cell biology. Frontiers in Genetics focuses on different Genetics studies like Single-nucleotide polymorphism, Genome-wide association study, Candidate gene, Epigenetics and Allele. Frontiers in Genetics is focused mainly on Single-nucleotide polymorphism, particularly SNP.

Genome-wide association study study tackled is connected to the field of Genetic association. Gene expression, Transcriptome, microRNA, Phenotype and KEGG are all topics related to Gene research discussed. The microRNA study featured in Frontiers in Genetics draws connections with the study of Cancer research.

While it focused on Computational biology, it was also able to explore topics like RNA, Cancer, Disease and DNA sequencing. Frontiers in Genetics focuses on Genome as well as the interrelated topic of Evolutionary biology.

  • Genetics (25.99%)
  • Gene (25.56%)
  • Computational biology (16.63%)

What are the most cited papers published in the journal?

  • Human polymorphism at microRNAs and microRNA target sites. (1325 citations)
  • Cytoplasmic 5 -3 exonuclease Xrn1p is also a genome-wide transcription factor in yeast (722 citations)
  • miR-34 - a microRNA replacement therapy is headed to the clinic. (550 citations)

Research areas of the most cited articles at Frontiers in Genetics:

The most cited articles investigate studies in Genetics, Computational biology, Bioinformatics, Gene and microRNA. Genetics research in the published articles connects with the study of Cell biology. In addition to Bioinformatics research, the most cited articles aim to explore topics under Cancer and Disease.

What topics the last edition of the journal is best known for?

  • Gene
  • Internal medicine
  • Enzyme

The previous edition focused in particular on these issues:

The topics of Gene, Genetics, Computational biology, Internal medicine and Cancer research are the focal point of discussions in the journal. Transcriptome, Gene expression, Genome, KEGG and Candidate gene are all areas of Gene tackled in Frontiers in Genetics. Most of the Genome studies addressed also intersect with Evolutionary biology.

Single-nucleotide polymorphism, Exome sequencing, Quantitative trait locus, Missense mutation and Allele are all aspects of Genetics research featured in Frontiers in Genetics. It explores research in Computational biology alongside concepts in microRNA and other areas of study in Competing endogenous RNA. Studies on Internal medicine discussed in the journal link to the field of Oncology.

The most cited articles from the last journal are:

  • Use of Multivariable Mendelian Randomization to Address Biases Due to Competing Risk Before Recruitment. (16 citations)
  • Telomere Length as a Marker of Biological Age: State-of-the-Art, Open Issues, and Future Perspectives. (13 citations)
  • Identification of Protein Subcellular Localization With Network and Functional Embeddings. (13 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Frontiers in Genetics (based on the number of publications) are:

  • Jialiang Yang (17 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Frank Emmert-Streib (17 papers) published 1 paper at the last edition,
  • Tad S. Sonstegard (16 papers) absent at the last edition,
  • William C. Cho (16 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Shaojun Liu (14 papers) published 5 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Frontiers in Genetics (based on the number of publications) are:

  • Chinese Academy of Sciences (191 papers) published 58 papers at the last edition, 1 less than at the previous edition,
  • Shanghai Jiao Tong University (158 papers) published 62 papers at the last edition, 12 more than at the previous edition,
  • Sun Yat-sen University (120 papers) published 50 papers at the last edition, 11 more than at the previous edition,
  • Central South University (119 papers) published 45 papers at the last edition, 4 more than at the previous edition,
  • National Institutes of Health (108 papers) published 17 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.23% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.87% of all publications and 55.24% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Homoeologous Exchanges, Segmental Allopolyploidy, and Polyploid Genome Evolution.

    Annaliese S. Mason;Jonathan F. Wendel

    (2020)
    177 Citations
  • Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci.

    Hannah L Nicholls;Christopher R John;David S Watson;David S Watson;Patricia B Munroe

    (2020)
    126 Citations
  • Genomics of evolutionary novelty in hybrids and polyploids

    Gonzalo Nieto Feliner;Josep M. Casacuberta;Jonathan F. Wendel

    (2020)
    124 Citations
  • Gene Size Matters: An Analysis of Gene Length in the Human Genome.

    Inês Lopes;Gulam Altab;Priyanka Raina;João Pedro de Magalhães

    (2021)
    112 Citations
  • Management of Genetic Diversity in the Era of Genomics

    Theo H. E. Meuwissen;Anna K. Sonesson;Gebreyohans Gebregiwergis;John Arthur Woolliams

    (2020)
    106 Citations
  • MeCP2: The Genetic Driver of Rett Syndrome Epigenetics

    Katrina V. Good;John B. Vincent;Juan Ausió

    (2021)
    92 Citations
  • Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project.

    Diego Jarquin;Natalia de Leon;Cinta Romay;Martin Bohn

    (2021)
    87 Citations
  • Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data

    (2022)
    86 Citations
  • Methodologies for Transcript Profiling Using Long-Read Technologies.

    Spyros Oikonomopoulos;Anthony Bayega;Somayyeh Fahiminiya;Haig Djambazian

    (2020)
    85 Citations
  • A Review of Integrative Imputation for Multi-Omics Datasets

    Meng Song;Jonathan Greenbaum;Joseph Luttrell;Weihua Zhou

    (2020)
    82 Citations

Related Online Degrees & Career Pathways

Pursuing a degree in Biology or Biochemistry opens doors to diverse career pathways, many of which can be further enhanced through specialized online programs. For those considering flexible learning options, an online bachelor's degree in biology offers an efficient way to gain comprehensive knowledge while balancing other life commitments.

Beyond traditional biology roles, careers in health and wellness, such as exercise physiology, are becoming increasingly popular. An online exercise physiology degree complements biological studies by focusing on physical health and performance, expanding potential job opportunities.

For students interested in the administrative side of healthcare, understanding degree costs and options is crucial. Exploring affordable options, such as those highlighted in the healthcare administration degree cost guide, can help manage expenses while pursuing a meaningful career.

Overall, the field offers numerous lucrative options, many detailed in biology careers. Whether your interest lies in research, healthcare, or applied sciences, exploring these pathways through related online degrees can greatly enhance your professional prospects.

Best Scientists Contributing to This Journal