Nature Reviews Molecular Cell Biology

Top Research Topics at Nature Reviews Molecular Cell Biology?

The journal mainly deals with areas of study such as Cell biology, Genetics, Computational biology, Biochemistry and Signal transduction. Cell biology research featured in Nature Reviews Molecular Cell Biology incorporates concerns from various other topics such as Chromatin and Cell, Cytoskeleton.

• Cell biology (50.53%)
• Genetics (11.58%)
• Computational biology (8.69%)

What are the most cited papers published in the journal?

• Untangling the ErbB signalling network (5541 citations)
• Table S2: Trans-factors and trinucleotide repeat instability Trans-factor (5368 citations)
• Lipid rafts and signal transduction (5292 citations)

Research areas of the most cited articles at Nature Reviews Molecular Cell Biology:

The main points discussed in the most cited papers deal with Cell biology, Signal transduction, Genetics, Biochemistry and Computational biology. The journal publications facilitate discussions on Cell biology that incorporate concepts from other fields like Autophagy, Regulation of gene expression and Programmed cell death. Receptor, Cell, Endocytosis and Signalling are some topics wherein Signal transduction research discussed in the most cited articles has an impact.

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

• Gene
• Enzyme
• DNA

The previous edition focused in particular on these issues:

Nature Reviews Molecular Cell Biology primarily tackles Cell biology, Computational biology, RNA, Function (biology) and Translation (biology). The majority of Cell biology studies are focused on the issues of Stem cell. The presented research on Computational biology deals specifically with Chromatin but it also addresses topics in Regulation of gene expression, Genomic organization and Histone.

The work on RNA tackled in it brings together disciplines like Cell and Compartmentalization (psychology). It explores topics in Function (biology) which can be helpful for research in disciplines like Context (language use) and Biophysics. The overlapping concepts between Gene expression and Protein biosynthesis are the key highlights of Translation (biology) study.

The most cited articles from the last journal are:

• Gene regulation by long non-coding RNAs and its biological functions. (223 citations)
• Ferroptosis: mechanisms, biology and role in disease. (92 citations)
• A framework for understanding the functions of biomolecular condensates across scales. (74 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 Nature Reviews Molecular Cell Biology (based on the number of publications) are:

• Kim Baumann (223 papers) published 10 papers at the last edition, 3 more than at the previous edition,
• Arianne Heinrichs (181 papers) absent at the last edition,
• Eytan Zlotorynski (147 papers) published 8 papers at the last edition the same number as at the previous edition,
• Katharine H. Wrighton (125 papers) absent at the last edition,
• Paulina Strzyz (120 papers) published 9 papers at the last edition, 1 less than at the previous 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 Nature Reviews Molecular Cell Biology (based on the number of publications) are:

• Harvard University (72 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Max Planck Society (70 papers) published 2 papers at the last edition the same number as at the previous edition,
• National Institutes of Health (47 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• University of California, San Francisco (47 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Massachusetts Institute of Technology (43 papers) published 3 papers at the last edition the same number as 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, 31.40% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.87% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.51% of all publications and 38.55% 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.