Joël Freyss

2.2k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Joël Freyss is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Joël Freyss has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Joël Freyss's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (2 papers) and Bioinformatics and Genomic Networks (2 papers). Joël Freyss is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (2 papers) and Bioinformatics and Genomic Networks (2 papers). Joël Freyss collaborates with scholars based in Switzerland. Joël Freyss's co-authors include Thomas Sander, Modest von Korff, Anna K. Stalder, Manuel Stritt, Enrico Vezzali and Edgar Weber and has published in prestigious journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics and Expert Opinion on Drug Discovery.

In The Last Decade

Joël Freyss

7 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.

DataWarrior: An Open-Source Program For Chemistry Aware Data Visualization And Analysis

2015 1.3k citations Thomas Sander, Joël Freyss et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joël Freyss Switzerland	6	777	704	480	221	129	7	1.6k
Modest von Korff Switzerland	11	867 1.1×	829 1.2×	510 1.1×	238 1.1×	131 1.0×	18	1.9k
Ricardo Nascimento dos Santos Brazil	11	1.0k 1.3×	755 1.1×	417 0.9×	245 1.1×	139 1.1×	21	2.0k
Laurent E. Dardenne Brazil	19	933 1.2×	705 1.0×	355 0.7×	217 1.0×	140 1.1×	60	1.8k
Sven B. Schreiber Germany	5	895 1.2×	513 0.7×	303 0.6×	185 0.8×	169 1.3×	5	1.7k
Brian Y. Feng United States	11	1.2k 1.6×	599 0.9×	322 0.7×	212 1.0×	145 1.1×	18	1.9k
Lixia Sun China	11	728 0.9×	935 1.3×	452 0.9×	198 0.9×	116 0.9×	16	1.9k
Vinícius Gonçalves Maltarollo Brazil	21	841 1.1×	799 1.1×	447 0.9×	152 0.7×	95 0.7×	110	1.9k
Floriano Paes Silva Brazil	24	962 1.2×	505 0.7×	726 1.5×	216 1.0×	130 1.0×	70	2.2k
Ramón García‐Domenech Spain	26	813 1.0×	1.3k 1.9×	786 1.6×	208 0.9×	124 1.0×	99	2.1k
Anna K. Schrey Germany	14	1.0k 1.3×	873 1.2×	718 1.5×	289 1.3×	154 1.2×	24	2.5k

Countries citing papers authored by Joël Freyss

Since Specialization

Citations

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

Fields of papers citing papers by Joël Freyss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joël Freyss

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

All Works

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7 of 7 papers shown

1.

Freyss, Joël, et al.. (2019). Accuracy evaluation and addition of improved dihedral parameters for the MMFF94s. Journal of Cheminformatics. 11(1). 53–53. 32 indexed citations

2.

Sander, Thomas, et al.. (2015). DataWarrior: An Open-Source Program For Chemistry Aware Data Visualization And Analysis. Journal of Chemical Information and Modeling. 55(2). 460–473. 1278 indexed citations breakdown →

3.

Stritt, Manuel, et al.. (2011). Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis.. 24–37. 5 indexed citations

4.

Korff, Modest von, et al.. (2010). Integration of distributed computing into the drug discovery process. Expert Opinion on Drug Discovery. 6(2). 103–107. 1 indexed citations

5.

Korff, Modest von, Joël Freyss, & Thomas Sander. (2009). Comparison of Ligand- and Structure-Based Virtual Screening on the DUD Data Set. Journal of Chemical Information and Modeling. 49(2). 209–231. 69 indexed citations

6.

Sander, Thomas, et al.. (2009). OSIRIS, an Entirely in-House Developed Drug Discovery Informatics System. Journal of Chemical Information and Modeling. 49(2). 232–246. 214 indexed citations

7.

Korff, Modest von, Joël Freyss, & Thomas Sander. (2008). Flexophore, a New Versatile 3D Pharmacophore Descriptor That Considers Molecular Flexibility. Journal of Chemical Information and Modeling. 48(4). 797–810. 31 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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