Rodrigo V. Honorato

3.2k total citations · 3 hit papers
36 papers, 1.6k citations indexed

About

Rodrigo V. Honorato is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Rodrigo V. Honorato has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 5 papers in Plant Science and 5 papers in Materials Chemistry. Recurrent topics in Rodrigo V. Honorato's work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (4 papers). Rodrigo V. Honorato is often cited by papers focused on Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (4 papers). Rodrigo V. Honorato collaborates with scholars based in Brazil, Netherlands and United States. Rodrigo V. Honorato's co-authors include Alexandre M. J. J. Bonvin, Panagiotis I. Koukos, Brian Jiménez‐García, A. Tsaregorodtsev, M. Verlato, Antonio Rosato, Andrea Giachetti, Paulo Sérgio Lopes de Oliveira, M.T. Murakami and Jorge Roel‐Touris and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Rodrigo V. Honorato

34 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.

Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem

2021 437 citations Rodrigo V. Honorato, Panagiotis I. Koukos et al. Florence Research (University of Florence) profile →
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development

2020 372 citations Outi M. H. Salo‐Ahen, Rajendra Bhadane et al. Processes profile →
The HADDOCK2.4 web server for integrative modeling of biomolecular complexes

2024 142 citations Rodrigo V. Honorato, Mikaël Trellet et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rodrigo V. Honorato Brazil	18	1.0k	196	151	148	143	36	1.6k
Lukáš Pravda Czechia	10	1.3k 1.3×	203 1.0×	255 1.7×	107 0.7×	143 1.0×	23	1.9k
Eric W. Bell United States	12	947 0.9×	233 1.2×	175 1.2×	82 0.6×	125 0.9×	15	1.5k
Jason W. Labonte United States	15	1.4k 1.4×	138 0.7×	271 1.8×	114 0.8×	101 0.7×	24	1.8k
Andrew Binkowski United States	4	1.2k 1.2×	260 1.3×	226 1.5×	86 0.6×	146 1.0×	4	1.8k
Shu-Qun Liu China	20	1.3k 1.2×	361 1.8×	255 1.7×	94 0.6×	196 1.4×	64	2.0k
Joseph Dundas United States	4	1.1k 1.1×	271 1.4×	242 1.6×	87 0.6×	131 0.9×	6	1.6k
Lucy Stols United States	19	1.3k 1.3×	273 1.4×	310 2.1×	72 0.5×	92 0.6×	22	1.9k
M. Yu. Lobanov Russia	9	886 0.9×	293 1.5×	140 0.9×	60 0.4×	68 0.5×	23	1.4k
Hui Sun Lee United States	22	1.6k 1.6×	322 1.6×	224 1.5×	57 0.4×	140 1.0×	43	2.3k

Countries citing papers authored by Rodrigo V. Honorato

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo V. Honorato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo V. Honorato. 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 Rodrigo V. Honorato. The network helps show where Rodrigo V. Honorato may publish in the future.

Co-authorship network of co-authors of Rodrigo V. Honorato

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo V. Honorato. A scholar is included among the top collaborators of Rodrigo V. Honorato 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 Rodrigo V. Honorato. Rodrigo V. Honorato 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

Filho, Helder Veras Ribeiro, Alexandre W. Bisson‐Filho, Maurício L. Sforça, et al.. (2025). NMR study of the interaction between MinC and FtsZ and modeling of the FtsZ:MinC complex. Journal of Biological Chemistry. 301(3). 108169–108169.

Reys, Victor, Marco Giulini, Vlad Cojocaru, et al.. (2024). Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47–55. Proteins Structure Function and Bioinformatics. 1 indexed citations

Honorato, Rodrigo V., Mikaël Trellet, Brian Jiménez‐García, et al.. (2024). The HADDOCK2.4 web server for integrative modeling of biomolecular complexes. Nature Protocols. 19(11). 3219–3241. 142 indexed citations breakdown →

Giulini, Marco, et al.. (2024). ARCTIC-3D: automatic retrieval and clustering of interfaces in complexes from 3D structural information. Communications Biology. 7(1). 49–49. 2 indexed citations

Honorato, Rodrigo V., Panagiotis I. Koukos, Brian Jiménez‐García, et al.. (2021). Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem. Florence Research (University of Florence). 437 indexed citations breakdown →

Filho, Helder Veras Ribeiro, et al.. (2020). ParKVFinder: A thread-level parallel approach in biomolecular cavity detection. SoftwareX. 12. 100606–100606. 23 indexed citations

Salo‐Ahen, Outi M. H., Rajendra Bhadane, Alexandre M. J. J. Bonvin, et al.. (2020). Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development. Processes. 9(1). 71–71. 372 indexed citations breakdown →

Silva, Isabel, César Koppe Grisólia, Hugo van Ingen, et al.. (2019). Nucleosome binding peptide presents laudable biophysical and in vivo effects. Biomedicine & Pharmacotherapy. 121. 109678–109678. 6 indexed citations

Granato, Daniela C., Rute Alves Pereira e Costa, Rebeca Kawahara, et al.. (2018). Thioredoxin-1 Negatively Modulates ADAM17 Activity Through Direct Binding and Indirect Reductive Activity. Antioxidants and Redox Signaling. 29(8). 717–734. 8 indexed citations

10.

Domingues, M.N., Flávio Henrique Moreira Souza, M.A.B. Morais, et al.. (2018). Structural basis of exo-β-mannanase activity in the GH2 family. Journal of Biological Chemistry. 293(35). 13636–13649. 15 indexed citations

11.

Santos, C.R., P.O. Giuseppe, Flávio Henrique Moreira Souza, et al.. (2018). The mechanism by which a distinguishing arabinofuranosidase can cope with internal di-substitutions in arabinoxylans. Biotechnology for Biofuels. 11(1). 223–223. 28 indexed citations

12.

Zanphorlin, L.M., P.O. Giuseppe, Rodrigo V. Honorato, et al.. (2016). Oligomerization as a strategy for cold adaptation: Structure and dynamics of the GH1 β-glucosidase from Exiguobacterium antarcticum B7. Scientific Reports. 6(1). 23776–23776. 53 indexed citations

13.

Honorato, Rodrigo V.. (2016). CAZy-parser a way to extract information from the Carbohydrate-Active enZYmes Database. The Journal of Open Source Software. 1(8). 53–53. 2 indexed citations

14.

Meirelles, Gabriela de Carvalho, Rodrigo V. Honorato, Tatiana de Arruda Campos Brasil de Souza, et al.. (2015). Kinase Inhibitor Profile for Human Nek1, Nek6, and Nek7 and Analysis of the Structural Basis for Inhibitor Specificity. Molecules. 20(1). 1176–1191. 24 indexed citations

15.

Okamoto, Débora Noma, Márcia Y. Kondo, Lilian Caroline Gonçalves de Oliveira, et al.. (2014). P-I class metalloproteinase from Bothrops moojeni venom is a post-proline cleaving peptidase with kininogenase activity: Insights into substrate selectivity and kinetic behavior. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(3). 545–552. 17 indexed citations

16.

Santos, C.R., Zaira B. Hoffmam, L.M. Zanphorlin, et al.. (2014). Molecular Mechanisms Associated with Xylan Degradation by Xanthomonas Plant Pathogens. Journal of Biological Chemistry. 289(46). 32186–32200. 55 indexed citations

17.

Nascimento, Andrey Fabricio Ziem, Daniel Maragno Trindade, C.C.C. Tonoli, et al.. (2013). Structural Insights into Functional Overlapping and Differentiation among Myosin V Motors. Journal of Biological Chemistry. 288(47). 34131–34145. 27 indexed citations

18.

Honorato, Rodrigo V., et al.. (2013). A specific interdomain interaction preserves the structural and binding properties of the ModA protein from the phytopathogen Xanthomonas citri domain interaction and transport in ModA. Archives of Biochemistry and Biophysics. 539(1). 20–30. 3 indexed citations

19.

Murakami, M.T., Lisandra M. Gava, Rodrigo V. Honorato, et al.. (2013). Structural studies of the Trypanosoma cruzi Old Yellow Enzyme: Insights into enzyme dynamics and specificity. Biophysical Chemistry. 184. 44–53. 12 indexed citations

20.

Granato, Daniela C., Fernando Moreira Simabuco, Rodrigo V. Honorato, et al.. (2012). Identification of Novel Interaction between ADAM17 (a Disintegrin and Metalloprotease 17) and Thioredoxin-1. Journal of Biological Chemistry. 287(51). 43071–43082. 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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