Bruno E. Correia

10.6k total citations · 8 hit papers
91 papers, 4.7k citations indexed

About

Bruno E. Correia is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Bruno E. Correia has authored 91 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Oncology. Recurrent topics in Bruno E. Correia's work include Protein Structure and Dynamics (23 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and RNA and protein synthesis mechanisms (15 papers). Bruno E. Correia is often cited by papers focused on Protein Structure and Dynamics (23 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and RNA and protein synthesis mechanisms (15 papers). Bruno E. Correia collaborates with scholars based in Switzerland, United States and Portugal. Bruno E. Correia's co-authors include Benjamin F. Cravatt, Stefano Forli, Keriann M. Backus, Michael M. Bronstein, Pablo Gaínza, Freyr Sverrisson, Kenneth M. Lum, Emanuele Rodolà, Federico Monti and Davide Boscaini and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Bruno E. Correia

85 papers receiving 4.6k citations

Hit Papers

5 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.

Proteome-wide covalent ligand discovery in native biological systems

2016 636 citations Bruno E. Correia, Kenneth M. Lum et al. profile →
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

2019 449 citations Pablo Gaínza, Freyr Sverrisson et al. Nature Methods profile →
Antibodies to combat viral infections: development strategies and progress

2022 139 citations Bruno E. Correia et al. profile →
Equivariant 3D-conditional diffusion model for molecular linker design

2024 70 citations Ilia Igashov, H. Stärk et al. Nature Machine Intelligence profile →
Opportunities and challenges in design and optimization of protein function

2024 64 citations Casper A. Goverde, Bruno E. Correia et al. profile →
Structure-based drug design with equivariant diffusion models

2024 52 citations Arne Schneuing, Charles B. Harris et al. Nature Computational Science profile →
Computational design of soluble and functional membrane protein analogues

2024 40 citations Casper A. Goverde, Martin Pačesa et al. profile →
Targeting protein–ligand neosurfaces with a generalizable deep learning tool

2025 19 citations Arne Schneuing, Martin Pačesa et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bruno E. Correia Switzerland	33	3.4k	886	697	569	497	91	4.7k
Dmitri Beglov United States	30	5.1k 1.5×	460 0.5×	877 1.3×	557 1.0×	1.2k 2.4×	51	6.9k
Nir London Israel	31	3.0k 0.9×	534 0.6×	480 0.7×	602 1.1×	666 1.3×	65	3.8k
Adrian Whitty United States	40	4.2k 1.2×	1.4k 1.6×	882 1.3×	1.1k 1.9×	1.0k 2.1×	78	6.9k
Enrico O. Purisima Canada	36	3.3k 1.0×	376 0.4×	341 0.5×	597 1.0×	541 1.1×	113	4.7k
Masoud Vedadi Canada	49	7.9k 2.4×	558 0.6×	277 0.4×	968 1.7×	375 0.8×	141	9.7k
Kam Y. J. Zhang Japan	40	4.9k 1.4×	878 1.0×	231 0.3×	684 1.2×	905 1.8×	152	6.3k
Ji-Hu Zhang United States	13	4.0k 1.2×	401 0.5×	306 0.4×	663 1.2×	521 1.0×	19	6.3k
Romelia Salomón–Ferrer United States	11	3.7k 1.1×	495 0.6×	242 0.3×	311 0.5×	690 1.4×	17	5.3k
Milton T. Stubbs Germany	41	3.4k 1.0×	598 0.7×	216 0.3×	607 1.1×	424 0.9×	117	5.6k
Orly Dym Israel	36	4.1k 1.2×	407 0.5×	437 0.6×	293 0.5×	297 0.6×	76	5.4k

Countries citing papers authored by Bruno E. Correia

Since Specialization

Citations

This map shows the geographic impact of Bruno E. Correia'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 Bruno E. Correia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno E. Correia more than expected).

Fields of papers citing papers by Bruno E. Correia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno E. Correia. 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 Bruno E. Correia. The network helps show where Bruno E. Correia may publish in the future.

Co-authorship network of co-authors of Bruno E. Correia

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno E. Correia. A scholar is included among the top collaborators of Bruno E. Correia 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 Bruno E. Correia. Bruno E. Correia 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

Chouaïd, C., D. Debieuvre, Clarisse Audigier-Valette, et al.. (2025). Real-world treatment and retreatment patterns and outcomes in patients with advanced or metastatic non-small cell lung cancer following nivolumab monotherapy in second line or later in France: an I-O Optimise analysis. Frontiers in Oncology. 15. 1526931–1526931. 1 indexed citations

Igashov, Ilia, H. Stärk, Clément Vignac, et al.. (2024). Equivariant 3D-conditional diffusion model for molecular linker design. Nature Machine Intelligence. 6(4). 417–427. 70 indexed citations breakdown →

Heid, Daniel, Michael Jendrusch, Sabine Aschenbrenner, et al.. (2024). A deep mutational scanning platform to characterize the fitness landscape of anti-CRISPR proteins. Nucleic Acids Research. 52(22). e103–e103.

Pačesa, Martin, Casper A. Goverde, Prasun Kumar, et al.. (2024). An atlas of protein homo-oligomerization across domains of life. Cell. 187(4). 999–1010.e15. 56 indexed citations

Vorobieva, Anastassia A., Ryo Tachibana, Roman P. Jakob, et al.. (2024). An evolved artificial radical cyclase enables the construction of bicyclic terpenoid scaffolds via an H-atom transfer pathway. Nature Chemistry. 16(10). 1656–1664. 12 indexed citations

Aschenbrenner, Sabine, et al.. (2024). A modular toolbox for the optogenetic deactivation of transcription. Nucleic Acids Research. 53(3). 3 indexed citations

Schneuing, Arne, Charles B. Harris, Yuanqi Du, et al.. (2024). Structure-based drug design with equivariant diffusion models. Nature Computational Science. 4(12). 899–909. 52 indexed citations breakdown →

Sverrisson, Freyr, Mehmet Akdel, Jean Feydy, et al.. (2023). DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion Models. SPIRE - Sciences Po Institutional REpository.

Bonati, Lucia, Sailan Shui, Leo Scheller, et al.. (2023). Rational Design of Chemically Controlled Antibodies and Protein Therapeutics. ACS Chemical Biology. 18(6). 1259–1265. 11 indexed citations

10.

Shui, Sailan, Leo Scheller, & Bruno E. Correia. (2023). Protein-based bandpass filters for controlling cellular signaling with chemical inputs. Nature Chemical Biology. 20(5). 586–593. 8 indexed citations

11.

Scheck, Andreas, Stéphane Rosset, Michaël Defferrard, et al.. (2022). RosettaSurf—A surface-centric computational design approach. PLoS Computational Biology. 18(3). e1009178–e1009178. 4 indexed citations

12.

Yang, Che, Fabian Sesterhenn, Jaume Bonet, et al.. (2021). Bottom-up de novo design of functional proteins with complex structural features. Nature Chemical Biology. 17(4). 492–500. 62 indexed citations

13.

Gaínza, Pablo, Elise Gray-Gaillard, Elisabetta Cribioli, et al.. (2020). Author Correction: A computationally designed chimeric antigen receptor provides a small-molecule safety switch for T-cell therapy. Nature Biotechnology. 38(4). 503–503. 5 indexed citations

14.

Gaínza, Pablo, Elise Gray-Gaillard, Elisabetta Cribioli, et al.. (2020). A computationally designed chimeric antigen receptor provides a small-molecule safety switch for T-cell therapy. Nature Biotechnology. 38(4). 426–432. 103 indexed citations

15.

Harteveld, Zander, Carolin Schmelas, Julius Upmeier zu Belzen, et al.. (2020). Computational design of anti-CRISPR proteins with improved inhibition potency. Nature Chemical Biology. 16(7). 725–730. 15 indexed citations

16.

Hoffmann, Mareike D., Julius Upmeier zu Belzen, Zander Harteveld, et al.. (2020). Optogenetic control of Neisseria meningitidis Cas9 genome editing using an engineered, light-switchable anti-CRISPR protein. Nucleic Acids Research. 49(5). e29–e29. 33 indexed citations

17.

Bubeck, Felix, Mareike D. Hoffmann, Zander Harteveld, et al.. (2018). Engineered anti-CRISPR proteins for optogenetic control of CRISPR–Cas9. Nature Methods. 15(11). 924–927. 158 indexed citations

18.

Miranda, Marta Pires de, Chantal Beauchemin, Min Tan, et al.. (2017). Cross-species conservation of episome maintenance provides a basis for in vivo investigation of Kaposi's sarcoma herpesvirus LANA. PLoS Pathogens. 13(9). e1006555–e1006555. 13 indexed citations

19.

Correia, Bruno E., John Bates, Rebecca J. Loomis, et al.. (2015). Proof of principle for epitope-focused vaccine design. Protein Science. 24. 181–184. 6 indexed citations

20.

Niphakis, Micah J., Kenneth M. Lum, Armand B. Cognetta, et al.. (2015). A Global Map of Lipid-Binding Proteins and Their Ligandability in Cells. Cell. 161(7). 1668–1680. 178 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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