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Applications in Plant Sciences
H-index 23

Applications in Plant Sciences

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Ecology and Evolution 209 40 51 17
Plant Science and Agronomy 240 23 24 9

Additional Metrics

Number of Best Scientists*: 97
Documents by Best Scientists*: 93
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 45
SCIMAGO SJR: 0.803
Impact Factor: 2.4

Overview

Top Research Topics at Applications in Plant Sciences?

The journal primarily focuses on research topics in Microsatellite, Genetics, Locus (genetics), Genetic diversity and Evolutionary biology. Some problems in Microsatellite that were presented in Applications in Plant Sciences overlapped with concepts under Botany, Genetic structure, Population genetics and Loss of heterozygosity. The journal primarily discusses Genetics topics, particularly Genetic marker, DNA sequencing, Genome, Pyrosequencing and Expressed sequence tag.

The concepts on Locus (genetics) presented in the journal can also apply to other research fields, including Zoology and Gene flow. The work on Genetic diversity tackled in Applications in Plant Sciences brings together disciplines like Polymorphic Microsatellite Marker, Fabaceae, Endangered species, Conservation genetics and Genetic variation. Taxon, Phylogeography, Phylogenetic tree and Genus are some topics wherein Evolutionary biology research discussed in Applications in Plant Sciences have an impact.

The journal focuses on Phylogenetic tree but the discussions also offer insight into other areas such as Phylogenetics and Computational biology.

  • Microsatellite (54.58%)
  • Genetics (36.26%)
  • Locus (genetics) (32.85%)

What are the most cited papers published in the journal?

  • Plann: A Command-Line Application for Annotating Plastome Sequences (280 citations)
  • Hyb-Seq: Combining Target Enrichment and Genome Skimming for Plant Phylogenomics (233 citations)
  • HybPiper: Extracting coding sequence and introns for phylogenetics from high-throughput sequencing reads using target enrichment. (210 citations)

Research areas of the most cited articles at Applications in Plant Sciences:

Genetics, Computational biology, Phylogenetic tree, DNA sequencing and Genome are the main subjects of interest in the published papers. The studies on Genetics discussed at the most cited publications can also contribute to research in the domains of Evolutionary biology, Taxonomic rank and Genetic diversity. The published articles with studies in Microsatellite featured incorporate elements of Eucalyptus gomphocephala, Botany, Shotgun sequencing and Locus (genetics).

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

  • Botany
  • Ecology
  • Genus

The previous edition focused in particular on these issues:

Applications in Plant Sciences tackles a plethora of topics, such as Computational biology, Phylogenetic tree, Evolutionary biology, Phylogenomics and Set (abstract data type). The journal facilitates discussions on Computational biology that incorporate concepts from other fields like genomic DNA, Gene, DNA sequencing, Genome size and Random forest. The journal explores topics in Evolutionary biology which can be helpful for research in disciplines like Plant community, Genome, Herbarium and Biome.

Topics in Phylogenomics were tackled in line with various other fields like Flowering plant, Flagellate, Botany, Lineage specific and Nuclear gene. It focuses on Set (abstract data type) but sometimes tackles the closely related topic of Target enrichment which is concerned with Locus (genetics). The presented research on Genotyping deals specifically with Cultivar but it also addresses topics in Genetics.

The most cited articles from the last journal are:

  • New targets acquired: Improving locus recovery from the Angiosperms353 probe set (10 citations)
  • On the potential of Angiosperms353 for population genomic studies. (9 citations)
  • A target enrichment probe set for resolving the flagellate land plant tree of life. (9 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 Applications in Plant Sciences (based on the number of publications) are:

  • Pamela S. Soltis (16 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Yuji Isagi (11 papers) absent at the last edition,
  • Theresa M. Culley (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Douglas E. Soltis (11 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Wenbo Liao (9 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 Applications in Plant Sciences (based on the number of publications) are:

  • Chinese Academy of Sciences (52 papers) absent at the last edition,
  • University of Florida (36 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Sun Yat-sen University (23 papers) absent at the last edition,
  • Florida Museum of Natural History (22 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Royal Botanic Gardens (22 papers) published 5 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, 3.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.71% of all publications and 39.29% 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

  • HybPhaser: A workflow for the detection and phasing of hybrids in target capture data sets

    Lars Nauheimer;Nicholas Weigner;Elizabeth Joyce;Darren Crayn

    (2021)
    68 Citations
  • New targets acquired: Improving locus recovery from the Angiosperms353 probe set

    Todd G. B. McLay;Todd G. B. McLay;Todd G. B. McLay;Joanne L. Birch;Bee F. Gunn;Bee F. Gunn;Weixuan Ning

    (2021)
    66 Citations
  • A target enrichment probe set for resolving the flagellate land plant tree of life.

    Jesse W Breinholt;Sarah B Carey;George P Tiley;George P Tiley;E Christine Davis

    (2021)
    60 Citations
  • Methods for broad-scale plant phenology assessments using citizen scientists’ photographs

    Vijay V. Barve;Laura Brenskelle;Daijiang Li;Brian J. Stucky

    (2020)
    58 Citations
  • Considerations in adapting CRISPR/Cas9 in nongenetic model plant systems.

    Shengchen Shan;Shengchen Shan;Pamela S. Soltis;Douglas E. Soltis;Bing Yang;Bing Yang

    (2020)
    58 Citations
  • High-throughput methods for efficiently building massive phylogenies from natural history collections.

    Ryan A. Folk;Heather R. Kates;Raphael LaFrance;Douglas E. Soltis

    (2021)
    44 Citations
  • PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome skimming data

    (2022)
    41 Citations
  • Plants meet machines: Prospects in machine learning for plant biology

    Pamela S. Soltis;Gil Nelson;Alina Zare;Emily K. Meineke

    (2020)
    41 Citations
  • A comparison of seed germination coefficients using functional regression.

    Renáta Talská;Jitka Machalová;Petr Smýkal;Karel Hron

    (2020)
    39 Citations
  • A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction.

    Hervé Goëau;Adán Mora-Fallas;Julien Champ;Natalie L. Rossington Love

    (2020)
    29 Citations

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