World's Best Scientists 2026 revealed!
Structure
H-index 42

Structure

0969-2126

Published by: Elsevier

https://www.cell.com/structure/home

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Molecular Biology 62 51 69 18
Biology and Biochemistry 126 324 342 37

Additional Metrics

Number of Best Scientists*: 592
Documents by Best Scientists*: 486
Top 100 Ranked Scientists*: 22
SCIMAGO H-index: 203
SCIMAGO SJR: 2.011
Impact Factor: 4.3

Overview

Top Research Topics at Structure?

The primary areas of discussion in the journal are Biochemistry, Protein structure, Biophysics, Stereochemistry and Crystallography. Research on Biochemistry addressed in it frequently intersections with the field of Cell biology. It addresses concerns in Cell biology which are intertwined with other disciplines, such as Genetics, Receptor and Molecular biology.

Some problems in Protein structure that were presented in it overlapped with concepts under Peptide sequence, Computational biology and Protein folding. While Biophysics is the focus of the journal, it also provided insights into the studies of Membrane, Protein subunit, Allosteric regulation and Molecular dynamics. The journal facilitates discussions on Stereochemistry that incorporate concepts from other fields like Oxidoreductase, Transferase and Active site.

The Crystallography research dealing mostly with Crystal structure is the focus of it.

  • Biochemistry (31.33%)
  • Protein structure (23.20%)
  • Biophysics (20.60%)

What are the most cited papers published in the journal?

  • CATH – a hierarchic classification of protein domain structures (2188 citations)
  • Structures and mechanisms of glycosyl hydrolases (1601 citations)
  • Desulfovibrio desulfuricans iron hydrogenase: the structure shows unusual coordination to an active site Fe binuclear center. (1161 citations)

Research areas of the most cited articles at Structure:

The published articles primarily tackle Biochemistry, Protein structure, Stereochemistry, Crystallography and Binding site. Most of the Biochemistry studies addressed in the journal articles also intersect with Cell biology. While work presented in the journal papers provide substantial information on Protein structure, it also covers topics in Plasma protein binding, Biophysics, Protein subunit, Protein folding and Peptide sequence.

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

  • Gene
  • Enzyme
  • DNA

The previous edition focused in particular on these issues:

The discussions in Structure mainly cover the fields of Biophysics, Cell biology, Computational biology, Allosteric regulation and Cryo-electron microscopy. The journal focuses on Biophysics but sometimes tackles the closely related topic of Actin which is concerned with Cytoskeleton. In it, Receptor and Transcription factor are investigated in conjunction with one another to address concerns in Cell biology research.

It focuses on different Receptor studies like G protein-coupled receptor and Ligand (biochemistry). Most of the works presented in it deals with Transcription factor but it intersects with the subject of Transcription (biology). The journal connects research in Computational biology with the related topic of Structural biology.

The most cited articles from the last journal are:

  • Unveiling the polarity of actin filaments by cryo-electron tomography (11 citations)
  • Predictable cholesterol binding sites in GPCRs lack consensus motifs. (10 citations)
  • Structural basis for accommodation of emerging B.1.351 and B.1.1.7 variants by two potent SARS-CoV-2 neutralizing antibodies. (8 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.

The top authors publishing in Structure (based on the number of publications) are:

  • Michael G. Rossmann (32 papers) absent at the last edition,
  • Dmitri I. Svergun (32 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Andrej Sali (31 papers) published 1 paper at the last edition the same number as at the previous edition,
  • David I. Stuart (30 papers) absent at the last edition,
  • Wah Chiu (30 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Structure (based on the number of publications) are:

  • Max Planck Society (197 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • National Institutes of Health (190 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • University of Oxford (173 papers) published 7 papers at the last edition, 1 less than at the previous edition,
  • Scripps Research Institute (156 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Centre national de la recherche scientifique (152 papers) published 1 paper 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, 1.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.79% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.34% of all publications and 45.39% 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.

Top Publications

  • Performance and Its Limits in Rigid Body Protein-Protein Docking

    Israel T. Desta;Kathryn A. Porter;Bing Xia;Dima Kozakov

    (2020)
    680 Citations
  • A global Ramachandran score identifies protein structures with unlikely stereochemistry

    Oleg V. Sobolev;Pavel V. Afonine;Nigel W. Moriarty;Maarten L. Hekkelman

    (2020)
    211 Citations
  • FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds.

    Andrew Martin Watkins;Ramya Rangan;Rhiju Das

    (2020)
    203 Citations
  • An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants.

    Johnathan D. Guest;Thom Vreven;Jing Zhou;Iain Moal

    (2021)
    132 Citations
  • Leveraging crosslinking mass spectrometry in structural and cell biology.

    (2021)
    112 Citations
  • Benchmarking AlphaFold2 on peptide structure prediction.

    (2022)
    93 Citations
  • Multi-scale 3D Cryo-Correlative Microscopy for Vitrified Cells.

    Gong-Her Wu;Patrick G. Mitchell;Jesus G. Galaz-Montoya;Corey W. Hecksel

    (2020)
    71 Citations
  • Structural Basis for Rab8a Recruitment of RILPL2 via LRRK2 Phosphorylation of Switch 2.

    Dieter Waschbüsch;Elena Purlyte;Prosenjit Pal;Emma McGrath

    (2020)
    71 Citations
  • Modeling Antibody-Antigen Complexes by Information-Driven Docking

    Francesco Ambrosetti;Francesco Ambrosetti;Brian Jiménez-García;Jorge Roel-Touris;Alexandre M.J.J. Bonvin

    (2020)
    69 Citations
  • Need for Speed: Examining Protein Behavior during CryoEM Grid Preparation at Different Timescales.

    David P. Klebl;Molly S.C. Gravett;Dimitrios Kontziampasis;Dimitrios Kontziampasis;David J. Wright

    (2020)
    67 Citations

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Best Scientists Contributing to This Journal