Mathilde Goullieux

740 citations
5 papers · 310 indexed · 2 hit papers · h-index 4
Topics
Computational Drug Discovery Methods (4 papers)Click Chemistry and Applications (2 papers)Protein Degradation and Inhibitors (2 papers)
Partner nations
SwitzerlandGermany

In The Last Decade

Mathilde Goullieux

4 papers receiving 300 citations

Hit Papers

SwissDock 2024: major enhancements for small-molecule doc...20232026202420252024202350100150

Peers

Mathilde Goullieux
Comparison fields: 5 of 85
  • Molecular Biology 124
  • Computational Theory and Mathematics 73
  • Organic Chemistry 58
  • Plant Science 29
  • Pharmacology 27
Replace Marine Bugnon with:
Marine Bugnon Switzerland
Sudheer Kumar Katari India
F A Dain Md Opo Saudi Arabia
Xolani Henry Makhoba South Africa
Toheeb A. Balogun Nigeria
Mohanapriya Arumugam India
Khairul Bariyyah Abd Halim Malaysia
Ermias Mergia Terefe United States
Abdul Rashid Issahaku South Africa
Raquel Cristina Schwanke Brazil
Mathilde Goullieux relative to Marine Bugnon Switzerland Marine Bugnon's profile →
Citations per field
00.5×1.5×
Marine Bugnon · 1×
Citations per year

Countries citing papers authored by Mathilde Goullieux

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Goullieux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Goullieux

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2
SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vinabreakdown →
159
3 8
4 35
5
SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrizationbreakdown →
108

About Mathilde Goullieux

Mathilde Goullieux is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology, having authored 5 papers that have together received 310 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Biotechnology (21 citations) and Toxicology (7 citations). Mathilde Goullieux has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Ute F. Röhrig, Vincent Zoete, Marine Bugnon, Marta A. S. Perez, Antoine Daina and Olivier Michielin. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Journal of Chemical Information and Modeling.

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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