Journal of Molecular Cell Biology

Top Research Topics at Journal of Molecular Cell Biology?

The main research concerns discussed in the journal are Cell biology, Cancer research, Signal transduction, Molecular biology and Genetics. Cell biology works presented in Journal of Molecular Cell Biology have a specific focus on Stem cell. Cancer research and Cancer are closely related fields of research discussed in the journal.

The Genetics research dealing mostly with Gene is the focus of the journal.

• Cell biology (36.53%)
• Cancer research (10.79%)
• Signal transduction (10.79%)

What are the most cited papers published in the journal?

• The lysosome: from waste bag to potential therapeutic target (492 citations)
• MicroRNAs in NF-κB signaling (445 citations)
• Ribosomal proteins: functions beyond the ribosome (339 citations)

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

The journal papers facilitate discussions on Cell biology, Signal transduction, Cancer research, Immunology and Molecular biology. The most cited articles explore topics in Cell biology which can be helpful for research in disciplines like Endocrinology, Ubiquitin, Cellular differentiation, Transcription factor and Internal medicine. While work presented in the most cited papers provide substantial information on Signal transduction, it also covers topics in microRNA, Stem cell and Bioinformatics.

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

• Gene
• Enzyme
• DNA

The previous edition focused in particular on these issues:

Journal of Molecular Cell Biology generally zeroes in on subjects such as Cell biology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Coronavirus disease 2019 (COVID-19), Cancer research and Computational biology. In addition to Cell biology research, it aims to explore topics under Embryonic stem cell and Gene. The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) works featured in it incorporate elements from Virology, Inflammation, Intensive care medicine, Lung and Infectivity.

Virology research presented in it encompasses a variety of subjects, including Pandemic, Antibody and Immune system. The studies in Cancer research featured incorporate elements of Autophagy, Cancer, Metastasis, Pancreatic cancer and Cell growth. Research in Genome and the interrelating topic of RNA were among the subjects of interest in the Computational biology studies discussed in the journal.

The most cited articles from the last journal are:

• SARS-CoV-2 Spike protein binds to bacterial lipopolysaccharide and boosts proinflammatory activity. (28 citations)
• Proteome-wide Data Analysis Reveals Tissue-specific Network Associated with SARS-CoV-2 Infection. (13 citations)
• Modern deep learning in bioinformatics. (13 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 Journal of Molecular Cell Biology (based on the number of publications) are:

• Jiarui Wu (49 papers) published 1 paper at the last edition the same number as at the previous edition,
• Xuebiao Yao (15 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Xing Liu (14 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Luonan Chen (13 papers) published 2 papers at the last edition,
• Song Guo Zheng (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 Journal of Molecular Cell Biology (based on the number of publications) are:

• Chinese Academy of Sciences (204 papers) published 27 papers at the last edition, 7 more than at the previous edition,
• Shanghai Jiao Tong University (55 papers) published 14 papers at the last edition, 6 more than at the previous edition,
• Fudan University (51 papers) published 7 papers at the last edition, 1 less than at the previous edition,
• University of Science and Technology of China (29 papers) published 5 papers at the last edition the same number as at the previous edition,
• Zhejiang University (28 papers) published 5 papers at the last edition, 3 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, 1.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 54.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.14% of all publications and 20.00% 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.