Expert Review of Molecular Diagnostics

Top Research Topics at Expert Review of Molecular Diagnostics?

The journal investigates areas of study like Bioinformatics, Internal medicine, Disease, Cancer and Oncology. Topics in Bioinformatics explored in Expert Review of Molecular Diagnostics were investigated in conjunction with research in microRNA, Computational biology and Biomarker discovery. Expert Review of Molecular Diagnostics holds forums on Computational biology that merges themes from other disciplines such as Genetics and DNA sequencing.

The research on Internal medicine featured in Expert Review of Molecular Diagnostics combines topics in other fields like Gastroenterology and Pathology. Issues in Disease were discussed, taking into consideration concepts from other disciplines like Immunology and Intensive care medicine. Immunology works presented in Expert Review of Molecular Diagnostics have a specific focus on Antigen.

The journal links adjacent topics like Cancer with Cancer research. The studies tackled, which mainly focus on Oncology, apply to Circulating tumor cell as well.

• Bioinformatics (21.99%)
• Internal medicine (17.68%)
• Disease (13.67%)

What are the most cited papers published in the journal?

• Current advances in research and clinical applications of PLGA-based nanotechnology (558 citations)
• Metabolomics-based methods for early disease diagnostics. (422 citations)
• Real-time RT-PCR in COVID-19 detection: issues affecting the results. (421 citations)

Research areas of the most cited articles at Expert Review of Molecular Diagnostics:

The journal papers focus largely on the fields of Bioinformatics, Cancer, Computational biology, Biomarker (medicine) and Internal medicine. In addition to Bioinformatics research, the journal papers aim to explore topics under Proteomics, Disease and microRNA. The journal papers explore topics in Internal medicine which can be helpful for research in disciplines like Oncology and Cardiology.

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

• Internal medicine
• Cancer
• Gene

The previous edition focused in particular on these issues:

Expert Review of Molecular Diagnostics was organized to reinforce research efforts on Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Coronavirus disease 2019 (COVID-19), Internal medicine, Oncology and Biomarker (medicine). While Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the focus of the journal, it also provided insights into the studies of Virology, Real-time polymerase chain reaction, Molecular diagnostics, Coronavirus and 2019-20 coronavirus outbreak. The Coronavirus research presented in Expert Review of Molecular Diagnostics explores the relationship between Computational biology and the closely related topic of Digital polymerase chain reaction.

Topics in Oncology were tackled in line with various other fields like Liquid biopsy and Web of science. While the primary focus in Expert Review of Molecular Diagnostics is Biomarker (medicine), it also dissects topics surrounding Intensive care medicine and Predictive biomarker, Sepsis and Metagenomics as a whole. The journal focuses on Cancer but the discussions also offer insight into other areas such as Cell-free fetal DNA, Cancer research and Bioinformatics.

The most cited articles from the last journal are:

• LAMP Diagnostics at the Point-of-Care: Emerging Trends and Perspectives for the Developer Community. (9 citations)
• Diagnosis for COVID-19: current status and future prospects. (7 citations)
• The importance of genomic analysis in cracking the coronavirus pandemic. (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 Expert Review of Molecular Diagnostics (based on the number of publications) are:

• William C. Cho (19 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Dimitrios H Roukos (19 papers) absent at the last edition,
• Liang Cheng (13 papers) published 1 paper at the last edition, 6 less than at the previous edition,
• Adam E Frampton (12 papers) absent at the last edition,
• Rodolfo Montironi (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 Expert Review of Molecular Diagnostics (based on the number of publications) are:

• Harvard University (23 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• National Institutes of Health (20 papers) absent at the last edition,
• Mayo Clinic (19 papers) absent at the last edition,
• Baylor College of Medicine (17 papers) published 1 paper at the last edition the same number as at the previous edition,
• University of California, Los Angeles (17 papers) published 1 paper 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, 13.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.27% of all publications and 72.45% 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.

Collaborations and Partnerships

The Expert Review of Molecular Diagnostics often collaborates with academic institutions, focusing on medical and research areas. Such collaborations often result in the publication of research studies co-authored by scholars and practitioners from leading universities and institutions.

One of the most notable collaborations has been with various medical schools, particularly those offering distinguished medical assistant programs in Oklahoma. These collaborations are integral to the journal's mission, enabling it to disseminate the latest findings and insights in Molecular Diagnostics to a broader audience, particularly students and professionals in the field.

These collaborations are typically in the form of research partnerships, where scholars from these universities contribute to studies published in the Expert Review of Molecular Diagnostics. The mutual exchange of research findings and methodologies contributes significantly to the advancement of Molecular Diagnostics as a discipline.