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Physiological Genomics
H-index 17

Physiological Genomics

1094-8341

Published by: American Physiological Society

https://journals.physiology.org/journal/physiolgenomics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 104 22 24 9
Molecular Biology 155 6 9 5
Biology and Biochemistry 533 43 39 11
Medicine 1821 55 46 14

Additional Metrics

Number of Best Scientists*: 146
Documents by Best Scientists*: 109
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 129
SCIMAGO SJR: 0.911
Impact Factor: 2.5

Overview

Top Research Topics at Physiological Genomics?

The discussions in the journal mainly cover the fields of Endocrinology, Genetics, Gene expression, Gene and Cell biology. The journal focuses on Endocrinology but the discussions also offer insight into other areas such as Receptor and Downregulation and upregulation. Many of the studies tackled connect Genetics with a similar field of study like Computational biology.

Physiological Genomics explores topics in Gene expression which can be helpful for research in disciplines like Molecular biology and Regulation of gene expression. The Cell biology works, particularly on Signal transduction are tackled in Physiological Genomics. Some problems in Gene expression profiling that were presented in Physiological Genomics overlapped with concepts under Microarray analysis techniques, Immunology and Bioinformatics.

The majority of Immunology studies presented zero in on Inflammation. The journal focuses on Quantitative trait locus research which is adjacent to topics in Congenic.

  • Endocrinology (28.86%)
  • Genetics (26.34%)
  • Gene expression (24.52%)

What are the most cited papers published in the journal?

  • Life-long reduction in MnSOD activity results in increased DNA damage and higher incidence of cancer but does not accelerate aging (620 citations)
  • GAPDH as a housekeeping gene: analysis of GAPDH mRNA expression in a panel of 72 human tissues (576 citations)
  • Altered microRNA expression in human heart disease (545 citations)

Research areas of the most cited articles at Physiological Genomics:

The most cited publications facilitate discussions on Gene expression, Endocrinology, Gene expression profiling, Genetics and Gene. Issues in Gene expression were discussed in the most cited publications, taking into consideration concepts from other disciplines like Molecular biology, Regulation of gene expression, Immunology and Cell biology. The studies on Endocrinology discussed at the published articles can also contribute to research in the domains of Inflammation and Downregulation and upregulation.

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

  • Gene
  • Enzyme
  • Gene expression

The previous edition focused in particular on these issues:

Physiological Genomics facilitates discussions on Transcriptome, Cell biology, Endocrinology, Gene and Cancer research. Physiological Genomics addresses concerns in Transcriptome which are intertwined with other disciplines, such as Progenitor, Downregulation and upregulation, Endoplasmic reticulum, Extracellular matrix and Circadian rhythm. Issues in Cell biology were discussed, taking into consideration concepts from other disciplines like Transcription (biology), Age dependent and Gene expression.

Topics in Gene expression were tackled in line with various other fields like Fructose, Food science, Sucrose, Dietary Carbohydrates and C57bl 6j. It held discussions to help close the divide between two different fields of study: Endocrinology and Context (language use). In the journal, Murine model, Anaerobic exercise, Pharmacology and Heart rate are investigated in conjunction with one another to address concerns in Gene research.

The most cited articles from the last journal are:

  • SARS-CoV-2, ACE2 expression, and systemic organ invasion. (19 citations)
  • A multimodal and integrated approach to interrogate human kidney biopsies with rigor and reproducibility: guidelines from the Kidney Precision Medicine Project. (13 citations)
  • Can cilia provide an entry gateway for SARS-CoV-2 to human ciliated cells? (2 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 Physiological Genomics (based on the number of publications) are:

  • Andrew S. Greene (27 papers) absent at the last edition,
  • Howard J. Jacob (27 papers) absent at the last edition,
  • Mingyu Liang (25 papers) absent at the last edition,
  • Bina Joe (23 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Allen W. Cowley (22 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 Physiological Genomics (based on the number of publications) are:

  • Medical College of Wisconsin (101 papers) published 1 paper at the last edition,
  • National Institutes of Health (66 papers) absent at the last edition,
  • Brigham and Women's Hospital (54 papers) absent at the last edition,
  • University of Michigan (52 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Harvard University (47 papers) published 2 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, 2.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.50% of all publications and 47.50% 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

  • Artificial intelligence and machine learning to fight COVID-19.

    Ahmad Alimadadi;Sachin Aryal;Ishan Manandhar;Patricia B. Munroe;Patricia B. Munroe

    (2020)
    564 Citations
  • Harnessing innate immunity to eliminate SARS-CoV-2 and ameliorate COVID-19 disease.

    Rachel M Golonka;Piu Saha;Beng San Yeoh;Saurabh Chattopadhyay

    (2020)
    100 Citations
  • Sleep fragmentation increases blood pressure and is associated with alterations in the gut microbiome and fecal metabolome in rats.

    Katherine A Maki;Katherine A Maki;Larisa A Burke;Michael W Calik;Miki Watanabe-Chailland

    (2020)
    67 Citations
  • A multimodal and integrated approach to interrogate human kidney biopsies with rigor and reproducibility: guidelines from the Kidney Precision Medicine Project.

    Tarek M El-Achkar;Michael T Eadon;Rajasree Menon;Blue B Lake

    (2021)
    60 Citations
  • Cell-free DNA and RNA-measurement and applications in clinical diagnostics with focus on metabolic disorders.

    Markus H Drag;Tuomas O Kilpeläinen

    (2021)
    36 Citations
  • Silencing of MYH7 ameliorates disease phenotypes in human iPSC-cardiomyocytes

    Alexandra Dainis;Kathia Zaleta-Rivera;Alexandre Ribeiro;Alexandre Ribeiro;Andrew Chia Hao Chang

    (2020)
    36 Citations

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