Journal of Molecular Diagnostics

Top Research Topics at The Journal of Molecular Diagnostics?

The journal investigates areas of study like Molecular biology, Genetics, Gene, Polymerase chain reaction and Computational biology. Some problems in Molecular biology that were presented in the journal overlapped with concepts under Multiplex, RNA, Real-time polymerase chain reaction, DNA and Fluorescence in situ hybridization. It focused on Real-time polymerase chain reaction research but expanded to cover Virology.

The Journal of Molecular Diagnostics concentrated on Genetics research, specifically Allele, DNA sequencing, Mutation, Genotype and Exon. The journal is mostly focused on DNA sequencing, specifically Sanger sequencing. Genotyping is part of Genotype studies tackled in it.

The presented Gene research focuses mostly on Cancer research and, on occasion, topics in Cancer. In particular, the Polymerase chain reaction works presented emphasize discussions on Amplicon. The Journal of Molecular Diagnostics connects research in Computational biology with the related topic of Bioinformatics.

• Molecular biology (29.41%)
• Genetics (25.82%)
• Gene (17.02%)

What are the most cited papers published in the journal?

• RNAscope: A Novel in Situ RNA Analysis Platform for Formalin-Fixed, Paraffin-Embedded Tissues (1306 citations)
• Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology (1004 citations)
• Analysis of Microarray Data Using Z Score Transformation (690 citations)

Research areas of the most cited articles at The Journal of Molecular Diagnostics:

Molecular biology, Genetics, Polymerase chain reaction, Bioinformatics and Cancer research are the main subjects of interest in the most cited publications. The published papers facilitate discussions on Molecular biology that incorporate concepts from other fields like Gene expression, Gene expression profiling, Mutation, Real-time polymerase chain reaction and DNA. The Polymerase chain reaction research presented in the most cited articles focuses mostly on Multiplex and, on occasion, topics in Multiplex polymerase chain reaction.

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

• Gene
• Cancer
• Internal medicine

The previous edition focused in particular on these issues:

The concepts of Computational biology, Gene, Internal medicine, DNA sequencing and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are tackled in the journal. The Gene study featured in the journal draws connections with the study of DNA. While Internal medicine is the focus of the journal, it also provided insights into the studies of Gastroenterology and Oncology.

Issues in Real-time polymerase chain reaction were discussed, taking into consideration concepts from other disciplines like Molecular biology and Digital polymerase chain reaction. The in-depth study on Molecular biology also explores topics in the intersecting field of Fusion gene. Genotype is the primary subject of Genetics works presented in the journal.

The most cited articles from the last journal are:

• Performance of Severe Acute Respiratory Syndrome Coronavirus 2 Real-Time RT-PCR Tests on Oral Rinses and Saliva Samples. (19 citations)
• Comparison of 12 Molecular Detection Assays for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). (12 citations)
• Dynamics of Blood Viral Load Is Strongly Associated with Clinical Outcomes in Coronavirus Disease 2019 (COVID-19) Patients: A Prospective Cohort Study. (9 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 The Journal of Molecular Diagnostics (based on the number of publications) are:

• Iris Schrijver (25 papers) published 1 paper at the last edition,
• James R. Eshleman (23 papers) absent at the last edition,
• Elaine Lyon (22 papers) absent at the last edition,
• Marc Ladanyi (21 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Rajyalakshmi Luthra (19 papers) published 1 paper 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 The Journal of Molecular Diagnostics (based on the number of publications) are:

• University of Utah (80 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Stanford University (66 papers) published 4 papers at the last edition, 3 less than at the previous edition,
• Mayo Clinic (66 papers) published 5 papers at the last edition, 1 more than at the previous edition,
• Harvard University (66 papers) published 5 papers at the last edition the same number as at the previous edition,
• Memorial Sloan Kettering Cancer Center (57 papers) published 10 papers at the last edition, 4 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, 3.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.88% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.54% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.61% of all publications and 50.98% 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.