João Rodrigues

42 papers receiving 4.7k citations

Hit Papers

The HADDOCK2.2 Web Server: User-Friendly Integrative Mode...201520262018202220152016202450010001.5k

Peers

João Rodrigues
Comparison fields: 5 of 144
  • Molecular Biology 3.6k
  • Infectious Diseases 675
  • Computational Theory and Mathematics 567
  • Radiology, Nuclear Medicine and Imaging 491
  • Materials Chemistry 490
Replace Sjoerd J. de Vries with:
Sjoerd J. de Vries Netherlands
Hahnbeom Park United States
Benjamin Webb United States
Mikaël Trellet Netherlands
David E. Kim United States
Liam J. McGuffin United Kingdom
J. Michael Word United States
Adrien S. J. Melquiond Netherlands
Kevin Bryson United Kingdom
Ambrish Roy United States
João Rodrigues relative to Sjoerd J. de Vries Netherlands Sjoerd J. de Vries's profile →
Citations per field
00.5×1.5×2.4×
Sjoerd J. de Vries · 1×
Citations per year

Countries citing papers authored by João Rodrigues

Since Specialization
Citations

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

Fields of papers citing papers by João Rodrigues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Rodrigues. 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 João Rodrigues. The network helps show where João Rodrigues may publish in the future.

Co-authorship network of co-authors of João Rodrigues

This figure shows the co-authorship network connecting the top 25 collaborators of João Rodrigues. A scholar is included among the top collaborators of João Rodrigues 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 João Rodrigues. João Rodrigues is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
The HADDOCK2.4 web server for integrative modeling of biomolecular complexesbreakdown →
142
2 1
3 47
4 21
5 18
6 38
7 24
8 33
9 12
10 100
11 126
12 30
13 16
14
PRODIGY: a web server for predicting the binding affinity of protein–protein complexesbreakdown →
858
15 20
16
The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexesbreakdown →
1942
17 104
18 81
19 110
20 100

About João Rodrigues

João Rodrigues is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 42 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Infectious Diseases (675 citations) and Computational Theory and Mathematics (567 citations). João Rodrigues has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Alexandre M. J. J. Bonvin, Panagiotis L. Kastritis, Adrien S. J. Melquiond, Ezgi Karaca, Mikaël Trellet, Gydo C. P. van Zundert, Marc van Dijk, Sjoerd J. de Vries, Carl Schmitz and Li C. Xue. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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