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Critical Reviews in Eukaryotic Gene Expression
H-index 7

Critical Reviews in Eukaryotic Gene Expression

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 824 10 17 4

Additional Metrics

Number of Best Scientists*: 38
Documents by Best Scientists*: 40
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 70
SCIMAGO SJR: 0.414
Impact Factor: 1.6

Overview

Top Research Topics at Critical Reviews in Eukaryotic Gene Expression?

The discussions in the journal mainly cover the fields of Cell biology, Cancer research, Regulation of gene expression, Internal medicine and Gene. The Cell biology works featured in it incorporate elements from Chromatin, Transcription factor, Gene expression and Cellular differentiation. The Chromatin study tackling the subject of Nuclear matrix is the focus of the journal.

It addresses concerns in Cancer research which are intertwined with other disciplines, such as Cancer cell, Cancer, Metastasis, Cell growth and microRNA. The studies in Regulation of gene expression featured incorporate elements of Promoter and Transcription (biology), Transcriptional regulation. Critical Reviews in Eukaryotic Gene Expression facilitates discussions on Internal medicine that incorporate concepts from other fields like Endocrinology and Oncology.

Research on Gene presented in the journal concerns the broader topic of Genetics. Odds ratio and Confidence interval are closely related fields of research discussed in the journal.

  • Cell biology (32.50%)
  • Cancer research (16.45%)
  • Regulation of gene expression (12.76%)

What are the most cited papers published in the journal?

  • Tumor Necrosis Factor-α Signaling in Macrophages (742 citations)
  • The Aryl Hydrocarbon Receptor Complex and the Control of Gene Expression (548 citations)
  • Regulatory controls for osteoblast growth and differentiation: role of Runx/Cbfa/AML factors (394 citations)

Research areas of the most cited articles at Critical Reviews in Eukaryotic Gene Expression:

The journal papers cover a variety of subjects, including Cell biology, Regulation of gene expression, Transcription factor, Internal medicine and Signal transduction. The journal publications explore topics in Cell biology which can be helpful for research in disciplines like Chromatin, Receptor, Transcription (biology) and Cellular differentiation. The most cited articles focus on Internal medicine but the discussions also offer insight into other areas such as Endocrinology, Downregulation and upregulation and Cancer research.

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

  • Gene
  • Enzyme
  • DNA

The previous edition focused in particular on these issues:

Critical Reviews in Eukaryotic Gene Expression was organized to reinforce research efforts on Cancer research, Cancer, Cell growth, Apoptosis and Downregulation and upregulation. Cancer research research presented in the journal encompasses a variety of subjects, including Cancer cell, Tumor progression, microRNA and Metastasis. The concepts on Cancer presented in the journal can also apply to other research fields, including Physiology, Survival analysis, Immune system and EPH receptor B4.

The research on Apoptosis tackled can also make contributions to studies in the areas of Cell culture, Transfection, Cell and Tissue culture. Aside from discussions in Hepatocellular carcinoma, the journal also deals with the subject of Gene which intersects with Tumor therapy and Sarcoma disciplines. It connects research in Real-time polymerase chain reaction with the related topic of Transcription factor.

The most cited articles from the last journal are:

  • Pathogenesis of Diabetic Cardiomyopathy and Role of miRNA. (1 citations)
  • Knockdown of KNTC1 Inhibits the Proliferation, Migration and Tumorigenesis of Human Bladder Cancer Cells and Induces Apoptosis. (1 citations)
  • LncRNA DSCAM-AS1 negatively interacts with miR-124 to promote hepatocellular carcinoma proliferation (0 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 Critical Reviews in Eukaryotic Gene Expression (based on the number of publications) are:

  • Muhammad Imran Qadir (22 papers) absent at the last edition,
  • Jianping Xie (17 papers) absent at the last edition,
  • Muhammad Sajid Hamid Akash (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Kanwal Rehman (13 papers) published 1 paper at the last edition,
  • Usman Ali Ashfaq (10 papers) published 2 papers at the last edition, 1 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 Critical Reviews in Eukaryotic Gene Expression (based on the number of publications) are:

  • Government College University, Faisalabad (35 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Bahauddin Zakariya University (26 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Southwest University (25 papers) absent at the last edition,
  • University of Agriculture, Faisalabad (18 papers) published 1 paper at the last edition,
  • University of Massachusetts Medical School (17 papers) absent 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, 44.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.41% of all publications and 35.29% 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.

Researchers and scholars who are contributing to Critical Reviews in Eukaryotic Gene Expression are often found in fields like cell biology, gene expression regulation, cancer research and internal medicine. Their research not only advances academic knowledge but also opens up a variety of career opportunities in the healthcare industry.

One potential career path for contributors to this journal is medical billing and coding. This profession involves interpreting and coding healthcare and treatment data for purposes like insurance claims. Specialists in this field need a solid understanding of biological, genetic, and medical terminology which should be familiar territory to any contributor to Critical Reviews in Eukaryotic Gene Expression. Also critical understanding of gene expression and its role in diseases, like cancer can provide essential insights in the pathological reports that often needs coding.

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While our focus here is on medical billing and coding, it is just one example. The knowledge and skills gained from conducting research in fields covered by Critical Reviews in Eukaryotic Gene Expression can potentially open doors to many different careers, ranging from clinical practice to biomedical research.

Top Publications

  • The Prognostic Value of Small Noncoding microRNA-21 Expression in the Survival of Cancer Patients: A Meta-Analysis

    Maryam Moradi Binabaj;Afsane Bahrami;Majid Khazaei;Amir Avan

    (2020)
    11 Citations
  • PPAR-α Agonist Fenofibrate Ameliorates Oxidative Stress in Testicular Tissue of Diabetic Rats.

    Habib Yaribeygi;Mohammad Taghi Mohammadi;Tannaz Jamialahmadi;Amirhossein Sahebkar

    (2020)
    10 Citations
  • Wnt network: A brief review of pathways and multifunctional components

    Fereshte Abdolmaleki;Hossein Ahmadpour-Yazdi;Seyed Mohammad Gheibi Hayat;Nematollah Gheibi

    (2020)
    10 Citations
  • Labor Analgesia: A systematic review and meta-analysis of non-pharmacological complementary and alternative approaches to pain during first stage of labor

    Antonio Melillo;Patrizia Maiorano;Sarah Rachedi;Giuseppe Caggianese

    (2021)
    8 Citations
  • PD-L1 overexpression in lung of subjects died for COVID-19. On the way to understand the immune system exhaustion induced by SARS-CoV-2?

    Andrea Ronchi;Federica Zito Marino;Emma Carraturo;Elvira La Mantia

    (2021)
    7 Citations
  • Differential Expression in Endometriosis Tissue versus Endometrium of the Uterine Adenogenesis Factors PRL-R, GH, IGF1, and IGF2.

    (2023)
    6 Citations
  • Bioactivity-Guided Isolation and Identification of Anti-adipogenic Constituents from the n -Butanol Fraction of Cissus quadrangularis

    Rabail Hassan Toor;Zainab Nasir Khan;Maira Tariq;Raazia Tassaduq

    (2020)
    5 Citations
  • LncRNA GAS8-AS1 is a Novel Prognostic and Diagnostic Biomarker for Pancreatic Cancer

    (2022)
    4 Citations
  • Adenogenesis Factors FGF7, FGF10, FGF23, IFN-τ and HGF in Endometriosis Tissue Respect to Eutopic Endometrium: An Immunohistochemical Study.

    (2023)
    4 Citations

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