Molecular Therapy - Nucleic Acids

Top Research Topics at Molecular therapy. Nucleic acids?

Molecular therapy. Nucleic acids mainly deals with areas of study such as Cancer research, Cell biology, microRNA, Downregulation and upregulation and Gene silencing. Some problems in Cancer research that were presented in it overlapped with concepts under Carcinogenesis, Cancer, Metastasis, Cell growth and Gene knockdown. The studies on Cell biology discussed can also contribute to research in the domains of Gene expression, RNA, Transfection, Messenger RNA and Gene.

The Gene works featured in Molecular therapy. Nucleic acids incorporate elements from Molecular biology and Computational biology. Molecular therapy. Nucleic acids features Molecular biology research that overlaps with concepts in In vivo. The study on Computational biology presented is investigated in conjunction with research in Genome editing.

In Molecular therapy. Nucleic acids, Competing endogenous RNA and Angiogenesis are investigated in conjunction with one another to address concerns in microRNA research. Downregulation and upregulation and Apoptosis are closely related fields of research discussed in it. Molecular therapy. Nucleic acids deals with Gene silencing in conjunction with Small interfering RNA and similar fields in RNA interference.

• Cancer research (35.01%)
• Cell biology (25.33%)
• microRNA (23.63%)

What are the most cited papers published in the journal?

• Off-target Effects in CRISPR/Cas9-mediated Genome Engineering (498 citations)
• Therapeutic miRNA and siRNA: Moving from Bench to Clinic as Next Generation Medicine (428 citations)
• siRNA Versus miRNA as Therapeutics for Gene Silencing (402 citations)

Research areas of the most cited articles at Molecular therapy. Nucleic acids:

The most cited papers generally zeroe in on subjects such as Cancer research, microRNA, Cell biology, Gene silencing and Molecular biology. Aside from discussions in Cancer research, the most cited publications also deal with the subject of Gene knockdown which intersects with Long non-coding RNA disciplines. The study of Cell biology in the published articles encompasses disciplines such as RNA, as well as fields such as Messenger RNA and Computational biology, all of which overlap with one another.

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

• Gene
• DNA
• Enzyme

The previous edition focused in particular on these issues:

Molecular therapy. Nucleic acids is mainly concerned with subjects like Cancer research, Cell biology, microRNA, Downregulation and upregulation and RNA. The presented Cancer research research provided insight into the related

• Metastasis that intertwine with fields like Breast cancer,
• Gene silencing which connect with Small interfering RNA.. Molecular therapy. Nucleic acids explores topics in Cell biology which can be helpful for research in disciplines like Apoptosis, Messenger RNA, Gene, Gene knockdown and Skeletal muscle.

Topics in microRNA were tackled in line with various other fields like Competing endogenous RNA, Angiogenesis, Computational biology and Pathogenesis. The studies in Downregulation and upregulation featured incorporate elements of Protein kinase B, PI3K/AKT/mTOR pathway and Signal transduction. The work on RNA presented in Molecular therapy. Nucleic acids focuses on Circular RNA in particular.

The most cited articles from the last journal are:

• LRRK2 Antisense Oligonucleotides Ameliorate α-Synuclein Inclusion Formation in a Parkinson’s Disease Mouse Model (94 citations)
• lncRNA-Xist/miR-101-3p/KLF6/C/EBPα axis promotes TAM polarization to regulate cancer cell proliferation and migration. (16 citations)
• Nuclear-Encoded lncRNA MALAT1 Epigenetically Controls Metabolic Reprogramming in HCC Cells through the Mitophagy Pathway. (14 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 Molecular therapy. Nucleic acids (based on the number of publications) are:

• John J. Rossi (14 papers) published 1 paper at the last edition the same number as at the previous edition,
• Matthew J.A. Wood (12 papers) published 2 papers at the last edition,
• Peifeng Li (10 papers) published 5 papers at the last edition, 3 more than at the previous edition,
• Xianyong Lan (10 papers) absent at the last edition,
• Hong Chen (10 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 Molecular therapy. Nucleic acids (based on the number of publications) are:

• Shanghai Jiao Tong University (68 papers) published 21 papers at the last edition, 10 more than at the previous edition,
• Nanjing Medical University (63 papers) published 19 papers at the last edition, 1 less than at the previous edition,
• Harbin Medical University (56 papers) published 12 papers at the last edition, 6 less than at the previous edition,
• Sun Yat-sen University (53 papers) published 12 papers at the last edition, 7 less than at the previous edition,
• Huazhong University of Science and Technology (47 papers) published 14 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, 4.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.78% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.74% of all publications and 31.41% 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.