European Cytokine Network

Top Research Topics at European Cytokine Network?

The primary areas of discussion in the journal are Immunology, Cytokine, Internal medicine, Endocrinology and Tumor necrosis factor alpha. Immunology studies presented in it focus on topics such as Immune system, Inflammation, Pathogenesis, Antibody and Chemokine. While work presented in it provided substantial information on Cytokine, it also covered topics in Proinflammatory cytokine, Molecular biology, Receptor and Cell biology.

Discussions in European Cytokine Network are anchored in the subject of Molecular biology and the similar topic of Cell culture. Signal transduction is a key component of Cell biology research discussed in it. Specifically, studies on Interleukin 6 are prevalent in the Internal medicine works discussed.

The study on Tumor necrosis factor alpha presented in it intersects with the topics under Lipopolysaccharide.

• Immunology (44.39%)
• Cytokine (37.84%)
• Internal medicine (27.17%)

What are the most cited papers published in the journal?

• Recent advances in the relationship between obesity, inflammation, and insulin resistance. (1674 citations)
• Tumor necrosis factors: developments during the last decade. (462 citations)
• Three novel mammalian toll-like receptors: Gene structure, expression, and evolution (451 citations)

Research areas of the most cited articles at European Cytokine Network:

The main points discussed in the most cited articles deal with Immunology, Cytokine, Internal medicine, Tumor necrosis factor alpha and Receptor. The published papers explore issues in Cytokine which can be linked to other research areas like Cancer research, In vivo and Monocyte. While Internal medicine is the focus of the journal articles, it also provides insights into the studies of Gastroenterology and Endocrinology.

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

• Gene
• Internal medicine
• Immune system

The previous edition focused in particular on these issues:

Internal medicine, Cancer research, Cancer, Downregulation and upregulation and Gene knockdown are the subjects of interest in the journal. Weight loss, Lipid profile, Leptin, Ovariectomized rat and Thermogenesis are among the concentrations of Internal medicine that garnered much attention in European Cytokine Network. European Cytokine Network explores topics in Cancer research which can be helpful for research in disciplines like Cytokine, Survival rate, Lymph node, Lymph and Peripheral blood mononuclear cell.

The research on Cancer featured in it combines topics in other fields like Immunohistochemistry, Malignancy and Oncology. Downregulation and upregulation research presented in the journal encompasses a variety of subjects, including NF-κB, p38 mitogen-activated protein kinases, Phosphorylation, MAPK/ERK pathway and Proinflammatory cytokine. Gene knockdown research featured in European Cytokine Network incorporates concerns from various other topics such as Inflammation, Breast cancer and Biomarker (medicine).

The most cited articles from the last journal are:

• Serum Th17 and TNF-α distinguish between patients with occult hepatitis B infection, chronic hepatitis B infection and healthy individuals (0 citations)
• Interleukin 17 antagonist netakimab is effective and safe in the new coronavirus infection (COVID-19). (0 citations)
• GM-CSF-producing lymphocytes in tumor-draining lymph nodes of patients with bladder cancer. (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.

Top authors and change over time

The top authors publishing in European Cytokine Network (based on the number of publications) are:

• Nima Rezaei (18 papers) absent at the last edition,
• Charles A. Dinarello (18 papers) absent at the last edition,
• Peter G. Kremsner (17 papers) absent at the last edition,
• Mahmoud Huleihel (16 papers) absent at the last edition,
• Diana Boraschi (14 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in European Cytokine Network (based on the number of publications) are:

• French Institute of Health and Medical Research (96 papers) absent at the last edition,
• Tehran University of Medical Sciences (25 papers) absent at the last edition,
• Pasteur Institute (21 papers) absent at the last edition,
• Mario Negri Institute for Pharmacological Research (21 papers) absent at the last edition,
• Ben-Gurion University of the Negev (20 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, 33.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.00% 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 75.00% 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.