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Human Genomics
H-index 23

Human Genomics

1473-9542

Published by: Springer

https://humgenomics.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 53 108 84 19
Biology and Biochemistry 449 53 71 14

Additional Metrics

Number of Best Scientists*: 266
Documents by Best Scientists*: 183
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 73
SCIMAGO SJR: 1.381
Impact Factor: 4.3

Overview

Top Research Topics at Human Genomics?

The journal facilitates discussions on Genetics, Human genetics, Gene, Computational biology and Bioinformatics. Genetics, which encompasses Human genome, Genome, Single-nucleotide polymorphism, Allele and Exome sequencing, is the main subject of the journal. While it focused on Single-nucleotide polymorphism, it was also able to explore topics like Internal medicine and Haplotype.

The work on Internal medicine tackled in it brings together disciplines like Endocrinology and Oncology. The main emphasis of Human Genomics is the research on Exome sequencing, emphasizing the topic of Exome. The studies in Human genetics featured incorporate elements of Proteomics, Genomics, Disease, Genetic variation and DNA sequencing.

It connects research in Gene with the related topic of Gene nomenclature. Topics in Genetic association were tackled in line with various other fields like Genome-wide association study, Linkage disequilibrium and Candidate gene.

  • Genetics (44.91%)
  • Human genetics (37.96%)
  • Gene (20.99%)

What are the most cited papers published in the journal?

  • The cytochrome p450 homepage. (699 citations)
  • Human ATP-binding cassette (ABC) transporter family. (444 citations)
  • Analysis and update of the human aldehyde dehydrogenase (ALDH) gene family (270 citations)

Research areas of the most cited articles at Human Genomics:

The published articles focus largely on the fields of Genetics, Human genetics, Gene, Gene family and Computational biology. While Human genetics is the focus of the published articles, it also provides insights into the studies of Bioinformatics, Pharmacogenetics, Disease, Genetic variation and DNA sequencing. The journal publications explore research in Gene alongside concepts in Molecular biology and other areas of study in Missense mutation.

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

  • Gene
  • Mutation
  • DNA

The previous edition focused in particular on these issues:

Human genetics, Genetics, Gene, Proteomics and Disease are among the topics commonly tackled in the journal. Human Genomics addresses concerns in Human genetics which are intertwined with other disciplines, such as Genetic predisposition, Bioinformatics, Genome, Computational biology and Coronavirus. Genetics studies presented include Exome sequencing, Allele frequency, SNP, Locus (genetics) and Phenotype.

Gene study tackled is connected to the field of Inflammatory bowel disease. The journal explores topics in Proteomics which can be helpful for research in disciplines like Neuropathic pain, Oxytocin receptor, KEGG, Coronavirus disease 2019 (COVID-19) and 2019-20 coronavirus outbreak. The studies on Disease discussed can also contribute to research in the domains of Autism spectrum disorder and Intensive care medicine.

The most cited articles from the last journal are:

  • Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data. (25 citations)
  • COVID-19 one year into the pandemic: from genetics and genomics to therapy, vaccination, and policy. (10 citations)
  • ACE2 Nascence, trafficking, and SARS-CoV-2 pathogenesis: the saga continues. (7 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 Human Genomics (based on the number of publications) are:

  • Vasilis Vasiliou (36 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Daniel W. Nebert (29 papers) absent at the last edition,
  • David Neil Cooper (29 papers) absent at the last edition,
  • George P. Patrinos (21 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Juergen K. V. Reichardt (12 papers) published 4 papers at the last edition the same number as 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 Human Genomics (based on the number of publications) are:

  • University of Cincinnati (31 papers) absent at the last edition,
  • Cardiff University (30 papers) absent at the last edition,
  • Yale University (27 papers) published 8 papers at the last edition, 4 more than at the previous edition,
  • University of Colorado Denver (25 papers) absent at the last edition,
  • RMIT University (21 papers) published 3 papers at the last edition the same number as 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, 9.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.53% of all publications and 59.65% 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

  • Human genetic factors associated with susceptibility to SARS-CoV-2 infection and COVID-19 disease severity.

    Cleo Anastassopoulou;Zoi Gkizarioti;George P. Patrinos;George P. Patrinos;Athanasios Tsakris

    (2020)
    187 Citations
  • COVID-19 2022 update: transition of the pandemic to the endemic phase

    (2022)
    183 Citations
  • COVID-19 vulnerability: the potential impact of genetic susceptibility and airborne transmission.

    Krystal J. Godri Pollitt;Jordan Peccia;Albert I. Ko;Naftali Kaminski

    (2020)
    145 Citations
  • COVID-19 preclinical models: human angiotensin-converting enzyme 2 transgenic mice.

    Cathleen Lutz;Leigh Maher;Charles Lee;Wonyoung Kang

    (2020)
    113 Citations
  • Genetic variants of the human host influencing the coronavirus-associated phenotypes (SARS, MERS and COVID-19): rapid systematic review and field synopsis.

    Emilio Di Maria;Andrea Latini;Paola Borgiani;Giuseppe Novelli

    (2020)
    79 Citations
  • Expanding ACMG variant classification guidelines into a general framework

    (2022)
    77 Citations
  • Application of CRISPR/Cas9 to human-induced pluripotent stem cells: from gene editing to drug discovery.

    Claudia De Masi;Paola Spitalieri;Michela Murdocca;Giuseppe Novelli

    (2020)
    72 Citations
  • Analysis of ACE2 genetic variants in 131 Italian SARS-CoV-2-positive patients.

    Antonio Novelli;Michela Biancolella;Paola Borgiani;Dario Cocciadiferro

    (2020)
    66 Citations
  • Implementation and implications for polygenic risk scores in healthcare.

    John L. Slunecka;Matthijs D. van der Zee;Jeffrey J. Beck;Brandon N. Johnson

    (2021)
    59 Citations

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Best Scientists Contributing to This Journal