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Gene Expression
H-index 7

Gene Expression

1052-2166

Published by: Ingenta

https://www.ingentaconnect.com/content/cog/ge

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 835 8 9 4

Additional Metrics

Number of Best Scientists*: 14
Documents by Best Scientists*: 14
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 55
SCIMAGO SJR: 0.417
Impact Factor: N/A

Overview

Top Research Topics at Gene Expression?

The discussions in the journal mainly cover the fields of Cell biology, Molecular biology, Gene, Gene expression and Transcription factor. In addition to Cell biology research, it aims to explore topics under Cellular differentiation, General transcription factor, Regulation of gene expression, RNA polymerase II and Binding site. The Cellular differentiation study featured in it draws parallels with the field of Stem cell.

Gene Expression facilitates discussions on Molecular biology that incorporate concepts from other fields like Cell culture, RNA, Promoter, Messenger RNA and Transcription (biology). The work on Promoter presented in Gene Expression focuses on TATA box in particular. RNA polymerase and Regulatory sequence are among the areas of Transcription (biology) tackled.

The presentations focused mostly on Gene in an attempt to further explore topics in Genetics. Gene expression profiling is a major topic of Gene expression research presented in Gene Expression. The work on Transcription factor addressed in the journal expands to the thematically related Signal transduction.

  • Cell biology (37.80%)
  • Molecular biology (31.89%)
  • Gene (24.61%)

What are the most cited papers published in the journal?

  • The expression of a small fraction of cellular genes is changed in response to histone hyperacetylation. (634 citations)
  • ATF3 and stress responses. (513 citations)
  • Molecular characterization and chromosomal localization of a third alpha-class hypoxia inducible factor subunit, HIF3alpha. (500 citations)

Research areas of the most cited articles at Gene Expression:

The published papers primarily tackle Cell biology, Transcription factor, Molecular biology, Gene and Genetics. The journal articles explore topics in Cell biology which can be helpful for research in disciplines like Gene expression, Cell growth, RNA, Regulation of gene expression and RNA polymerase II. The most cited articles focus on Transcription factor but the discussions also offer insight into other areas such as Complementary DNA, Promoter, ATF3 and Signal transduction.

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

  • Gene
  • DNA
  • Enzyme

The previous edition focused in particular on these issues:

Gene Expression primarily focuses on research topics in Liver regeneration, Cell biology, Pharmacology, Liver injury and Acetaminophen. Liver regeneration research presented in it encompasses a variety of subjects, including Wnt signaling pathway, Catenin, Paracrine signalling and Liver transplantation. Topics in Cell biology were tackled in line with various other fields like Liver disease, Gene expression and Interferon.

The journal facilitates discussions on Pharmacology that incorporate concepts from other fields like Peroxynitrite, Non-coding RNA, Lipid peroxidation, Glutathione and Programmed cell death. Concepts in Intracellular, as well as related topics in Insulin resistance, Cell adhesion, Integrin, Hepatocellular carcinoma and Apoptosis, are covered in the Peroxynitrite research presented in it. The Liver injury works featured in it incorporate elements from Therapeutic index, Transcriptome, Nucleotide, Toxicity and Mitochondrion.

The most cited articles from the last journal are:

  • Ferroptosis and Acetaminophen Hepatotoxicity: Are We Going Down Another Rabbit Hole? (6 citations)
  • Wnt/-Catenin Signaling and Liver Regeneration: Circuit, Biology, and Opportunities. (2 citations)
  • Hepatocyte-specific Hepatocyte Nuclear Factor 4 alpha (HNF4α) deletion decreases resting energy expenditure by disrupting lipid and carbohydrate homeostasis. (1 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 Gene Expression (based on the number of publications) are:

  • Satdarshan P.S. Monga (10 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Janardan K. Reddy (10 papers) absent at the last edition,
  • Samson T. Jacob (8 papers) absent at the last edition,
  • Gianfranco Alpini (6 papers) absent at the last edition,
  • Todd Stedeford (5 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 Gene Expression (based on the number of publications) are:

  • Ohio State University (22 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Pittsburgh (19 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Northwestern University (15 papers) absent at the last edition,
  • National Institutes of Health (14 papers) absent at the last edition,
  • University of Kansas (14 papers) published 2 papers at the last edition, 1 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 83.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 16.67% 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 Further Studies in Gene Expression

After focusing on various research topics in gene expression, professionals in this field can find abundant career opportunities. They can work as molecular geneticists, genetic counselors, or biotechnologists in private or government organizations and research institutions. For individuals who are keen in pursuing extended studies or gaining competent skills in this field, taking up degrees like a master's in Genetics or Gene Expression are viable options as these programs offer advanced learning on gene interaction, bioinformatics, and gene regulation.

Along with the traditional education pathway, a growing trend of online courses and programs also enables individuals to learn at their convenience. For instance, medical students aiming to equip themselves with knowledge of gene expression can take advantage of online training programs. Aspiring medical assistants can also benefit from these virtual courses. One such program is the medical assistant training in North Carolina which offers a comprehensive curriculum, including lessons on gene expression relevant to medical field.

Beyond these, it is also crucial for professionals and students to keep updating their knowledge in gene expression. Participating in symposiums, following journals like Gene Expression, and regularly reading up on the latest research and discussions in the field are some ways to stay abreast of new findings and methodologies.

Top Publications

  • Wnt/-Catenin Signaling and Liver Regeneration: Circuit, Biology, and Opportunities.

    Shikai Hu;Satdarshan P Monga

    (2021)
    31 Citations
  • Inside-Out or Outside-In: Choosing the Right Model of Hepatocellular Cancer.

    Satdarshan P Monga

    (2020)
    10 Citations
  • Integrin Linked Kinase (ILK) and its Role in Liver Pathobiology.

    Nicole J Martucci;George K Michalopoulos;Wendy M Mars

    (2021)
    10 Citations
  • Role of Non-coding RNA in Acetaminophen-induced Liver Injury

    Vivek Chowdhary;Pipasha Biswas;Kalpana Ghoshal

    (2021)
    4 Citations
  • Fructose, Another Sweet for Cancer: A Context Acting Nutrient Hypothesis

    (2023)
    3 Citations
  • (Epi)genetic Aspects of Metabolic Syndrome Pathogenesis in Relation to Brain-derived Neurotrophic Factor Expression: A Review

    (2024)
    2 Citations
  • Loss of ARF/INK4A Promotes Liver Progenitor Cell Transformation Toward Tumorigenicity Supporting Their Role in Hepatocarcinogenesis.

    Robyn P. Strauss;Katherine M. Audsley;Adam M. Passman;Joanne H. van Vuuren

    (2020)
    2 Citations
  • Alpha Feto-protein Expression Trends for Screening Early Hepatocellular Carcinoma

    (2023)
    0 Citations
  • ERRATUM

    (2020)
    0 Citations

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Best Scientists Contributing to This Journal

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