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OMICS A Journal of Integrative Biology
H-index 13

OMICS A Journal of Integrative Biology

1536-2310

Published by: Mary Ann Liebert, Inc. Publishers

https://home.liebertpub.com/publications/omics-a-journal-of-integrative-biology/43

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 575 18 61 10

Additional Metrics

Number of Best Scientists*: 51
Documents by Best Scientists*: 93
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 73
SCIMAGO SJR: 0.435
Impact Factor: 1.6

Overview

Top Research Topics at Omics A Journal of Integrative Biology?

Omics A Journal of Integrative Biology generally zeroes in on subjects such as Computational biology, Genetics, Bioinformatics, Gene and Proteomics. Topics in Computational biology were tackled in line with various other fields like Context (language use) and Genomics. More specifically, the research on Genetics in the journal is related to Genome.

In addition to Bioinformatics research, the journal aims to explore topics under Precision medicine and Disease. Gene expression, Gene expression profiling, Regulation of gene expression and Transcriptome are all aspects of Gene research featured in it. The journal focuses on Proteomics as well as the interrelated topic of Proteome.

  • Computational biology (15.88%)
  • Genetics (14.01%)
  • Bioinformatics (13.44%)

What are the most cited papers published in the journal?

  • clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters (7276 citations)
  • Toward an online repository of Standard Operating Procedures (SOPs) for (meta)genomic annotation. (523 citations)
  • Nontargeted metabolome analysis by use of Fourier Transform Ion Cyclotron Mass Spectrometry (381 citations)

Research areas of the most cited articles at Omics A Journal of Integrative Biology:

The most cited articles investigate studies in Computational biology, Biochemistry, Gene, Bioinformatics and Genetics. In the Gene research discussed in the most cited articles, Gene expression and Gene expression profiling are all tackled. Aside from discussions in Bioinformatics, the published articles also deal with the subject of Proteomics which intersects with Tandem mass spectrometry disciplines.

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

  • Gene
  • Enzyme
  • Internal medicine

The previous edition focused in particular on these issues:

The primary areas of discussion in the journal are Personalized medicine, Cancer, Cancer research, Computational biology and Context (language use). The concepts on Personalized medicine presented in it can also apply to other research fields, including Pharmacogenomics, Digital transformation, Health care, Medical education and Interactome. Bioinformatics, Tobacco exposure, Transcriptome and Glycome, Glycan are some topics wherein Cancer research discussed in it have an impact.

Drug discovery is a focus of the presented Bioinformatics works and it dives deep in Drug discovery. The studies on Cancer research discussed can also contribute to research in the domains of Wnt signaling pathway, Tumor microenvironment, Carcinogenesis, Text mining and Metastasis. The work on Computational biology tackled in it brings together disciplines like Glycosylation, Proteomics, Gene, Genome and Identification (biology).

The most cited articles from the last journal are:

  • COVID-19 Pandemic and Africa: From the Situation in Zimbabwe to a Case for Precision Herbal Medicine. (13 citations)
  • Digital Health in Physicians' and Pharmacists' Office: A Comparative Study of e-Prescription Systems' Architecture and Digital Security in Eight Countries. (7 citations)
  • Coronavirus Disease-2019 Treatment Strategies Targeting Interleukin-6 Signaling and Herbal Medicine. (5 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 Omics A Journal of Integrative Biology (based on the number of publications) are:

  • Vural Özdemir (57 papers) published 8 papers at the last edition, 7 less than at the previous edition,
  • Collet Dandara (44 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Eugene Kolker (42 papers) absent at the last edition,
  • Wei Wang (31 papers) published 2 papers at the last edition the same number as at the previous edition,
  • George P. Patrinos (25 papers) published 5 papers at the last edition, 2 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 Omics A Journal of Integrative Biology (based on the number of publications) are:

  • University of Cape Town (70 papers) published 11 papers at the last edition, 1 more than at the previous edition,
  • University of Washington (41 papers) absent at the last edition,
  • Manipal University (38 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Marmara University (38 papers) published 6 papers at the last edition the same number as at the previous edition,
  • Yenepoya University (35 papers) published 8 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, 10.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 55.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.75% of all publications and 21.31% 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.

Career Opportunities and Progression in Related Field

Besides understanding the specifics of the research topics, it's also crucial to explore potential career advancements in relevant fields. One such directly connected occupation is working as a nutritionist, which incorporates knowledge from some of the topics you've been researching, like Computational Biology, Genetics, and Bioinformatics. You might be thinking, "How can I benefit from this knowledge and how can I apply it in a practical way?" Luckily, we have already provided a comprehensive guide on [how to become a certified nutritionist in Mississippi](https://research.com/careers/how-to-become-a-nutritionist-in-mississippi) which answers this question thoroughly. This guide explores the pathway to becoming a nutritionist, including required education, certifications, and potential job opportunities in Mississippi, and more generally in the US. Progressing in this career would allow you to integrate all the learning from the domains of this journal to improve health outcomes and contribute to scientific advancements in personalized medicine. If you are aspiring for a career where you can apply your knowledge practically and make a significant impact, a career in nutrition might be the perfect choice for you.

Top Publications

  • A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver

    (2020)
    46 Citations
  • Assembly and Annotation of the Nuclear and Organellar Genomes of a Dwarf Coconut (Chowghat Green Dwarf) Possessing Enhanced Disease Resistance

    Rajesh Krishna Muliyar;Pallem Chowdappa;Santosh Kumar Behera;Sandeep Kasaragod

    (2020)
    29 Citations
  • Digging deeper into precision/personalized medicine: Cracking the sugar code, the third alphabet of life, and sociomateriality of the cell

    Vural Özdemir;K Yalçın Arga;Ramy K Aziz;Mustafa Bayram

    (2020)
    23 Citations
  • Intracranial Aneurysm Biomarker Candidates Identified by a Proteome-Wide Study

    Tanavi Sharma;Keshava K. Datta;Munish Kumar;Gourav Dey

    (2020)
    20 Citations
  • Choosing proper normalization is essential for discovery of sparse glycan biomarkers

    H.-W. Uh;L. Klarić;I. Ugrina;G. Lauc

    (2020)
    18 Citations
  • What Do Students in Pharmacy and Medicine Think About Pharmacogenomics and Personalized Medicine Education? Awareness, Attitudes, and Perceptions in Malaysian Health Sciences.

    Stavroula Siamoglou;Maria Koromina;Foong-Ming Moy;Christina Mitropoulou

    (2021)
    15 Citations
  • What Makes Cornea Immunologically Unique and Privileged? Mechanistic Clues from a High-Resolution Proteomic Landscape of the Human Cornea

    Yashwanth Subbannayya;Sneha M. Pinto;Varshasnata Mohanty;Shobha Dagamajalu

    (2020)
    14 Citations
  • Traces of SARS-CoV-2 RNA in Peripheral Blood Cells of Patients with COVID-19.

    Ahmed Moustafa;Rana Salah Khalel;Ramy K Aziz

    (2021)
    13 Citations
  • MS2Compound: A User-Friendly Compound Identification Tool for LC-MS/MS-Based Metabolomics Data.

    Santosh Kumar Behera;Sandeep Kasaragod;Gayathree Karthikkeyan;Chinmaya Narayana Kotimoole

    (2021)
    13 Citations
  • Plant Omics: Metabolomics and Network Pharmacology of Liquorice, Indian Ayurvedic Medicine Yashtimadhu

    Gayathree Karthikkeyan;Ravishankar Pervaje;Yashwanth Subbannayya;Arun H Patil

    (2020)
    12 Citations

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Best Scientists Contributing to This Journal

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