Nucleic Acids Research

Top Research Topics at Nucleic Acids Research?

Nucleic Acids Research is organized to address concerns in the fields of Genetics, Molecular biology, DNA, Biochemistry and Gene. The subject of Computational biology, which is connected to the field of Bioinformatics, serves as the foundation of the Genetics research featured in it. In Nucleic Acids Research, Gene expression, RNA, Complementary DNA, Cell biology and Transcription (biology) are investigated in conjunction with one another to address concerns in Molecular biology research.

The RNA works featured in Nucleic Acids Research incorporate elements from Ribosomal RNA and Messenger RNA. Research in Chromatin and the interrelating topic of Histone were among the subjects of interest in the Cell biology studies discussed in Nucleic Acids Research. In addition to DNA research, it aims to explore topics under Biophysics and Binding site.

The work on Biochemistry addressed in the journal expands to the thematically related Stereochemistry. The study of Intron encompasses disciplines such as RNA splicing, as well as fields such as Exon, all of which overlap with one another. While the journal focused on Nucleic acid sequence, it was also able to explore topics like Molecular cloning and Peptide sequence.

• Genetics (34.96%)
• Molecular biology (33.83%)
• DNA (25.15%)

What are the most cited papers published in the journal?

• Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. (64634 citations)
• CLUSTAL W: IMPROVING THE SENSITIVITY OF PROGRESSIVE MULTIPLE SEQUENCE ALIGNMENT THROUGH SEQUENCE WEIGHTING, POSITION-SPECIFIC GAP PENALTIES AND WEIGHT MATRIX CHOICE (57242 citations)
• The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. (35513 citations)

Research areas of the most cited articles at Nucleic Acids Research:

The journal articles investigate areas of study like Genetics, Molecular biology, Gene, DNA and Biochemistry. The study of Genetics in the most cited articles encompasses disciplines such as Computational biology, as well as fields such as Bioinformatics, all of which overlap with one another. In addition to DNA research, the journal papers aim to explore topics under Biophysics and Binding site.

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

• Gene
• Enzyme
• DNA

The previous edition focused in particular on these issues:

Nucleic Acids Research facilitates discussions on Computational biology, Cell biology, DNA, RNA and Gene. Nucleic Acids Research facilitates discussions on Computational biology that incorporate concepts from other fields like Annotation, Transcriptome, Genome and CRISPR. It explores research in Chromatin and overlapping concepts in Enhancer to expand the discourse in Cell biology.

Topics in DNA explored in the journal were investigated in conjunction with research in Mutation and Biophysics. It explores issues in RNA which can be linked to other research areas like Messenger RNA and Nucleic acid. Nucleic Acids Research explores the study of Gene to improve our understanding of the broader topic of Genetics.

The most cited articles from the last journal are:

• UniProt: the universal protein knowledgebase in 2021 (429 citations)
• KEGG: integrating viruses and cellular organisms. (343 citations)
• Pfam: The protein families database in 2021. (277 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 Nucleic Acids Research (based on the number of publications) are:

• Yusuke Nakamura (181 papers) absent at the last edition,
• Richard M. White (163 papers) absent at the last edition,
• Jean-Marc Lalouel (158 papers) absent at the last edition,
• G.M. Lathrop (147 papers) absent at the last edition,
• Mark Leppert (139 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 Nucleic Acids Research (based on the number of publications) are:

• National Institutes of Health (1281 papers) published 37 papers at the last edition, 15 less than at the previous edition,
• Centre national de la recherche scientifique (1055 papers) published 11 papers at the last edition, 5 more than at the previous edition,
• Max Planck Society (1044 papers) published 21 papers at the last edition the same number as at the previous edition,
• Harvard University (629 papers) published 28 papers at the last edition, 2 less than at the previous edition,
• French Institute of Health and Medical Research (602 papers) published 15 papers at the last edition, 5 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, 2.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.99% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.03% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.19% of all publications and 57.79% 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.