| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 10 | 158 | 209 | 54 |
| Biology and Biochemistry | 46 | 341 | 333 | 60 |
The aim of the journal is to expand the discussion of research in Cell biology, Biochemistry, Protein structure, Biophysics and Genetics. In it, RNA, Molecular biology, Transcription (biology) and Chromatin are investigated in conjunction with one another to address concerns in Cell biology research. Nature Structural & Molecular Biology dives deep in exploring the relationship between the study of Chromatin and Histone.
As a part of the journal, discussions in Biochemistry involve topics like Enzyme and Protein folding. The concepts on Protein structure presented in it can also apply to other research fields, including Plasma protein binding, Crystallography, Peptide sequence, Stereochemistry and Binding site. Crystal structure is the primary subject of Crystallography works presented in the journal.
Nature Structural & Molecular Biology explores research in Stereochemistry and the adjacent study of Active site. The research on Genetics discussed in it draws on the closely related field of Computational biology.
The journal papers primarily tackle Biochemistry, Cell biology, Protein structure, Genetics and Crystallography. Biochemistry study tackled in the most cited articles is connected to the field of Biophysics. Issues in Cell biology were discussed in the published articles, taking into consideration concepts from other disciplines like RNA, RNA interference, Molecular biology and Chromatin.
The foci of Nature Structural & Molecular Biology are Cell biology, Biophysics, Computational biology, RNA and DNA. The journal focuses on Cell biology but the discussions also offer insight into other areas such as Biogenesis, Protein subunit, Chromatin, Gene and Transcription (biology). Chromatin works presented in Nature Structural & Molecular Biology have a specific focus on Nucleosome.
The study of RNA polymerase II and how it intertwines with concepts under Histone were explored in the presented Transcription (biology) research. Receptor, Transient receptor potential channel, Microtubule and Saccharomyces cerevisiae are some topics wherein Biophysics research discussed in it have an impact. Many of the studies tackled connect Computational biology with a similar field of study like Dynamics (mechanics).
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.
The top authors publishing in Nature Structural & Molecular Biology (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Nature Structural & Molecular Biology (based on the number of publications) are:
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.
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, 12.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.03% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.49% of all publications and 31.15% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
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(2021)Katharina Schubert;Evangelos D. Karousis;Ahmad Jomaa;Alain Scaiola
(2020)Florian Kabinger;Carina Stiller;Jana Schmitzová;Christian Dienemann
(2021)Antoni G. Wrobel;Donald J. Benton;Pengqi Xu;Pengqi Xu;Chloë Roustan
(2020)J Huo;J Huo;A Le Bas;A Le Bas;R R Ruza;Duyvesteyn Hme.
(2020)Zhenming Jin;Zhenming Jin;Yao Zhao;Yuan Sun;Bing Zhang
(2020)Kazuaki Matoba;Tetsuya Kotani;Akihisa Tsutsumi;Takuma Tsuji
(2020)Xiaoli Xiong;Kun Qu;Katarzyna A. Ciazynska;Myra Hosmillo
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