Roberto Covino

2.7k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Roberto Covino is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Roberto Covino has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cell Biology and 7 papers in Materials Chemistry. Recurrent topics in Roberto Covino's work include Protein Structure and Dynamics (13 papers), Lipid Membrane Structure and Behavior (8 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Roberto Covino is often cited by papers focused on Protein Structure and Dynamics (13 papers), Lipid Membrane Structure and Behavior (8 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Roberto Covino collaborates with scholars based in Germany, United States and Italy. Roberto Covino's co-authors include Gerhard Hummer, Robert Ernst, Inga Hänelt, Michael Gecht, Dorith Wunnicke, Pietro Faccioli, Sören von Bülow, Florian E.C. Blanc, Mateusz Sikora and Harald F. Hofbauer and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Roberto Covino

35 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hinges

2020 430 citations Beata Turoňová, Mateusz Sikora et al. Science profile →

Peers

Roberto Covino

MB

ID

CB

MC

AMPO

Dimitry Tegunov Germany

Sören von Bülow Germany

Takaharu Mori Japan

Billy K. Poon United States

William Wan United States

Shaun Rawson United States

Ray Yu‐Ruei Wang United States

Michael Caffrey United States

Leo S. D. Caves United Kingdom

Charles Lin United States

Dimitry Tegunov Germany

Roberto Covino

1.9k ×1.9

MB

851 ×2.2

ID

144 ×0.4

CB

172 ×0.8

MC

105 ×0.7

AMPO

Citations per year, relative to Roberto Covino Roberto Covino (= 1×) peers Dimitry Tegunov

Countries citing papers authored by Roberto Covino

Since Specialization

Citations

This map shows the geographic impact of Roberto Covino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Covino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Covino more than expected).

Fields of papers citing papers by Roberto Covino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Covino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Covino. The network helps show where Roberto Covino may publish in the future.

Co-authorship network of co-authors of Roberto Covino

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Covino. A scholar is included among the top collaborators of Roberto Covino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberto Covino. Roberto Covino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Meier‐Credo, Jakob, et al.. (2025). How does Mycoplasma pneumoniae scavenge lipids from its host membranes?. Science Advances. 11(40). eady4746–eady4746.

2.

Covino, Roberto, et al.. (2025). Free Energy, Rates, and Mechanism of Transmembrane Dimerization in Lipid Bilayers from Dynamically Unbiased Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 129(5). 1586–1596. 3 indexed citations

3.

D’Imprima, Edoardo, et al.. (2025). Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference. Proceedings of the National Academy of Sciences. 122(23). e2420158122–e2420158122. 2 indexed citations

4.

Ermel, Utz H., Bernd Fakler, Margot P. Scheffer, et al.. (2025). The kidney slit diaphragm resembles a fishnet. Kidney International. 108(6). 1045–1056. 1 indexed citations

5.

Beck, Martin, Roberto Covino, Inga Hänelt, & Michaela Müller-McNicoll. (2024). Understanding the cell: Future views of structural biology. Cell. 187(3). 545–562. 24 indexed citations

6.

Anisimova, Aleksandra S., et al.. (2024). IGF2BP1 phosphorylation in the disordered linkers regulates ribonucleoprotein condensate formation and RNA metabolism. Nature Communications. 15(1). 9054–9054. 2 indexed citations

7.

Jung, Hendrik, et al.. (2023). Artificial intelligence for molecular mechanism discovery. Biophysical Journal. 122(3). 281a–282a. 1 indexed citations

8.

Bülow, Sören von, Mateusz Sikora, Florian E.C. Blanc, Roberto Covino, & Gerhard Hummer. (2023). Antibody accessibility determines location of spike surface mutations in SARS-CoV-2 variants. PLoS Computational Biology. 19(1). e1010822–e1010822. 7 indexed citations

9.

Jung, Hendrik, Roberto Covino, A. Arjun, et al.. (2023). Machine-guided path sampling to discover mechanisms of molecular self-organization. Nature Computational Science. 3(4). 334–345. 83 indexed citations

10.

Covino, Roberto, et al.. (2023). Simulation-based inference of single-molecule force spectroscopy. Biophysical Journal. 122(3). 140a–140a. 1 indexed citations

11.

Covino, Roberto, et al.. (2022). Information-theoretical measures identify accurate low-resolution representations of protein configurational space. Soft Matter. 18(37). 7064–7074. 6 indexed citations

12.

Sikora, Mateusz, Sören von Bülow, Florian E.C. Blanc, et al.. (2021). Computational epitope map of SARS-CoV-2 spike protein. PLoS Computational Biology. 17(4). e1008790–e1008790. 92 indexed citations

13.

Reinhard, John F., et al.. (2021). Cysteine cross-linking in native membranes establishes the transmembrane architecture of Ire1. The Journal of Cell Biology. 220(8). 12 indexed citations

14.

Ballweg, Stephanie, Erdinç Sezgin, Milka Doktorova, et al.. (2020). Regulation of lipid saturation without sensing membrane fluidity. Nature Communications. 11(1). 756–756. 126 indexed citations

15.

Turoňová, Beata, Mateusz Sikora, Christoph Schürmann, et al.. (2020). In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hinges. Science. 370(6513). 203–208. 430 indexed citations breakdown →

16.

Gecht, Michael, et al.. (2020). Mechanistic Dissection of Sphingolipid Binding to the ER Stress Transducer ATF6 - Insights into the Coordination of Sphingolipid and Protein Production. Biophysical Journal. 118(3). 243a–243a. 2 indexed citations

17.

Hofbauer, Harald F., Michael Gecht, Sabine Fischer, et al.. (2018). The molecular recognition of phosphatidic acid by an amphipathic helix in Opi1. The Journal of Cell Biology. 217(9). 3109–3126. 52 indexed citations

18.

Covino, Roberto, Gerhard Hummer, & Robert Ernst. (2018). Integrated Functions of Membrane Property Sensors and a Hidden Side of the Unfolded Protein Response. Molecular Cell. 71(3). 458–467. 46 indexed citations

19.

Chiavazzo, Eliodoro, Roberto Covino, Ronald R. Coifman, et al.. (2017). Intrinsic map dynamics exploration for uncharted effective free-energy landscapes. Proceedings of the National Academy of Sciences. 114(28). E5494–E5503. 91 indexed citations

20.

Covino, Roberto, et al.. (2017). Variational Identification of Markovian Transition States. Physical Review X. 7(3). 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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