Immune Network

Top Research Topics at Immune Network?

Immune Network tackles a plethora of topics, such as Immunology, Immune system, Cell biology, Molecular biology and T cell. The overlapping concepts between Cytotoxic T cell and CD8 are the key highlights of Immunology study. Some problems in Immune system that were presented in it overlapped with concepts under Cancer research and Virology.

Most of the Cancer research studies addressed also intersect with Immunotherapy. The work on Virology presented in the journal focuses on Vaccination in particular. It explores issues in Cell biology which can be linked to other research areas like Cell and Receptor.

Molecular biology research presented in Immune Network encompasses a variety of subjects, including Antibody and Monoclonal antibody. The journal centers on topics in Inflammation, with a focus on Proinflammatory cytokine. Immune Network links adjacent topics like Cytokine with Tumor necrosis factor alpha.

• Immunology (52.35%)
• Immune system (30.69%)
• Cell biology (19.80%)

What are the most cited papers published in the journal?

• Gut Microbiota-Derived Short-Chain Fatty Acids, T Cells, and Inflammation (278 citations)
• Damage-Associated Molecular Patterns in Inflammatory Diseases. (269 citations)
• MicroRNAs in Human Diseases: From Cancer to Cardiovascular Disease (238 citations)

Research areas of the most cited articles at Immune Network:

The journal papers mainly tackle studies in Immunology, Immune system, Cell biology, Innate immune system and Inflammation. The journal publications deal with Immune system in conjunction with Bioinformatics and similar fields in microRNA. The most cited articles explore research in Cell biology alongside concepts in Receptor and other areas of study in Downregulation and upregulation.

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

• Gene
• Immune system
• Internal medicine

The previous edition focused in particular on these issues:

Immune Network primarily focuses on research topics in Immunology, Immune system, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Virology. The Immunology research dealing mostly with Vaccination is the focus of it. The journal focuses on Immune system but the discussions also offer insight into other areas such as Cancer research, Protein kinase A and Coronavirus.

The journal investigates Coronavirus disease 2019 (COVID-19) in the context of the closely related subject of areas like

• 2019-20 coronavirus outbreak which connect with Drug repositioning, Experimental Animal Models, Coronavirus Infections, Emerging infectious disease and Transgene,
• Clinical trial which is related to area like Human coronavirus, Outbreak, Antigen and Review article.. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) research in the journal involves the investigation of Pandemic studies, all of which are linked to disciplines such as Preclinical stage, Polio vaccine and Host (biology). Immune Network explores research in Virology alongside concepts in Pathogen and other areas of study in Viral replication, Novel virus, Mortality rate, Viral entry and Sputum.

The most cited articles from the last journal are:

• SARS-CoV-2 Infection of Airway Epithelial Cells (8 citations)
• Ongoing Clinical Trials of Vaccines to Fight against COVID-19 Pandemic (6 citations)
• Current Status of COVID-19 Vaccine Development: Focusing on Antigen Design and Clinical Trials on Later Stages (5 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 Immune Network (based on the number of publications) are:

• Chong-Kil Lee (26 papers) absent at the last edition,
• Eui-Cheol Shin (19 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• Kyungjae Kim (18 papers) published 1 paper at the last edition,
• Wang Jae Lee (16 papers) absent at the last edition,
• Eun Young Choi (12 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 Immune Network (based on the number of publications) are:

• Catholic University of Korea (67 papers) absent at the last edition,
• New Generation University College (67 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Yonsei University (55 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Chonbuk National University (53 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Seoul National University (45 papers) published 5 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, 3.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 64.52% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.68% of all publications and 6.45% 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.