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Trends in Genetics
H-index 52

Trends in Genetics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 15 150 157 39

Additional Metrics

Number of Best Scientists*: 368
Documents by Best Scientists*: 336
Top 100 Ranked Scientists*: 24
SCIMAGO H-index: 253
SCIMAGO SJR: 3.928
Impact Factor: 16.3

Overview

Top Research Topics at Trends in Genetics?

The aim of Trends in Genetics is to expand the discussion of research in Genetics, Gene, Cell biology, Genome and Computational biology. The journal links adjacent topics like Genetics with Evolutionary biology. The research on Gene discussed in it draws on the closely related field of Function (biology).

The work on Cell biology presented in the journal focuses on Signal transduction in particular. Genomics and Human genome are all topics related to Genome research discussed.

  • Genetics (51.93%)
  • Gene (25.60%)
  • Cell biology (14.22%)

What are the most cited papers published in the journal?

  • EMBOSS: The European Molecular Biology Open Software Suite (8030 citations)
  • The impact of next-generation sequencing technology on genetics. (1822 citations)
  • Cytosine methylation and the ecology of intragenomic parasites (1694 citations)

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

The most cited publications primarily tackle Genetics, Gene, Genome, Cell biology and Computational biology. The study of Genetics in the journal publications encompasses disciplines such as Evolutionary biology, as well as fields such as Vertebrate, all of which overlap with one another. The Genome research tackled in the most cited publications is interrelated with Phylogenetics which concerns subjects like Phylogenetic tree.

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

  • Gene
  • DNA
  • Genome

The previous edition focused in particular on these issues:

The primary areas of discussion in Trends in Genetics are Computational biology, Gene, Genome, Genetics and Cell biology. It tackles studies in Regulation of gene expression and the interrelated subject of Gene expression to gain insights into Computational biology. Some problems in Genome that were presented in Trends in Genetics overlapped with concepts under Evolutionary biology, Transcription factor, Gene duplication, DNA sequencing and DNA replication.

It facilitates discussions on Evolutionary biology that incorporate concepts from other fields like Transposable element and Genomics. The in-depth study on Genetics also explores topics in the intersecting field of Disease. While work presented in it provided substantial information on Cell biology, it also covered topics in Chromatin, Histone, DNA, Transcription (biology) and Cell fate determination.

The most cited articles from the last journal are:

  • Where Are the Disease-Associated eQTLs? (33 citations)
  • The Branched Nature of the Nonsense-Mediated mRNA Decay Pathway. (17 citations)
  • New Approaches for Inferring Phylogenies in the Presence of Paralogs. (16 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 Trends in Genetics (based on the number of publications) are:

  • Eugene V. Koonin (27 papers) absent at the last edition,
  • Laurence D. Hurst (22 papers) absent at the last edition,
  • Akhilesh Pandey (22 papers) absent at the last edition,
  • Petros Ligoxygakis (20 papers) absent at the last edition,
  • Peer Bork (17 papers) absent at the last 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 Trends in Genetics (based on the number of publications) are:

  • Harvard University (115 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • National Institutes of Health (112 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Cambridge (95 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Stanford University (80 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Centre national de la recherche scientifique (78 papers) published 4 papers at the last 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, 5.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.88% of all publications and 62.24% 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

  • Emerging concepts of miRNA therapeutics: from cells to clinic.

    (2022)
    690 Citations
  • DNA methylation: a historical perspective

    (2022)
    410 Citations
  • Opening the Black Box: Interpretable Machine Learning for Geneticists.

    Christina B. Azodi;Christina B. Azodi;Jiliang Tang;Shin-Han Shiu

    (2020)
    391 Citations
  • DNA Repair Pathway Choices in CRISPR-Cas9-Mediated Genome Editing.

    Chaoyou Xue;Eric C. Greene

    (2021)
    239 Citations
  • Where Are the Disease-Associated eQTLs?

    Benjamin D. Umans;Alexis Battle;Yoav Gilad

    (2021)
    237 Citations
  • How genomics can help biodiversity conservation.

    (2023)
    215 Citations
  • Horizontal Gene Transfer in Eukaryotes: Not if, but How Much?

    Julia Van Etten;Debashish Bhattacharya

    (2020)
    158 Citations
  • To NMD or Not To NMD: Nonsense-Mediated mRNA Decay in Cancer and Other Genetic Diseases.

    Fran Supek;Ben Lehner;Ben Lehner;Rik G.H. Lindeboom

    (2021)
    145 Citations
  • Taming transposable elements in vertebrates: from epigenetic silencing to domestication.

    (2022)
    142 Citations
  • Forkhead Transcription Factors in Health and Disease.

    (2020)
    136 Citations

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Best Scientists Contributing to This Journal