Marine Bugnon

726 total citations · 2 hit papers
5 papers, 308 citations indexed

About

Marine Bugnon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Marine Bugnon has authored 5 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Marine Bugnon's work include Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Click Chemistry and Applications (1 paper). Marine Bugnon is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Click Chemistry and Applications (1 paper). Marine Bugnon collaborates with scholars based in Switzerland. Marine Bugnon's co-authors include Ute F. Röhrig, Vincent Zoete, Mathilde Goullieux, Marta A. S. Perez, Olivier Michielin, Antoine Daina, David Barras, Denarda Dangaj Laniti, Alexandre Harari and Sara Bobisse and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Immunology and Advanced Science.

In The Last Decade

Marine Bugnon

5 papers receiving 298 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.

SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina

2024 159 citations Marine Bugnon, Ute F. Röhrig et al. Nucleic Acids Research profile →
SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization

2023 108 citations Marine Bugnon, Mathilde Goullieux 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
Marine Bugnon Switzerland	4	121	70	56	29	27	5	308
Mathilde Goullieux Switzerland	4	124 1.0×	73 1.0×	58 1.0×	29 1.0×	27 1.0×	5	310
Ahmad Alzamami Saudi Arabia	12	158 1.3×	67 1.0×	83 1.5×	24 0.8×	30 1.1×	24	347
Abdul Rashid Issahaku South Africa	9	150 1.2×	112 1.6×	61 1.1×	25 0.9×	25 0.9×	36	304
Sudheer Kumar Katari India	10	180 1.5×	84 1.2×	54 1.0×	65 2.2×	42 1.6×	30	393
Ermias Mergia Terefe United States	10	99 0.8×	35 0.5×	30 0.5×	24 0.8×	22 0.8×	18	237
Konrad Diedrich Germany	5	219 1.8×	91 1.3×	59 1.1×	19 0.7×	28 1.0×	7	376
F A Dain Md Opo Saudi Arabia	8	149 1.2×	128 1.8×	65 1.2×	15 0.5×	20 0.7×	12	334
Marcin Delijewski Poland	11	113 0.9×	42 0.6×	38 0.7×	17 0.6×	30 1.1×	26	328
Kamonpan Sanachai Thailand	10	128 1.1×	74 1.1×	76 1.4×	19 0.7×	15 0.6×	34	306
Douglas E. V. Pires Australia	7	157 1.3×	61 0.9×	39 0.7×	10 0.3×	16 0.6×	13	264

Countries citing papers authored by Marine Bugnon

Since Specialization

Citations

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

Fields of papers citing papers by Marine Bugnon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marine Bugnon

This figure shows the co-authorship network connecting the top 25 collaborators of Marine Bugnon. A scholar is included among the top collaborators of Marine Bugnon 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 Marine Bugnon. Marine Bugnon 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:

5 of 5 papers shown

1.

Bugnon, Marine, et al.. (2025). A fingerprint approach to pioneer structure-based T cell receptor repertoire analysis and specificity prediction. Frontiers in Immunology. 16. 1688805–1688805. 1 indexed citations

2.

Perez, Marta A. S., Johanna Chiffelle, Sara Bobisse, et al.. (2024). Predicting Antigen‐Specificities of Orphan T Cell Receptors from Cancer Patients with TCRpcDist. Advanced Science. 11(40). e2405949–e2405949. 5 indexed citations

3.

Bugnon, Marine, Ute F. Röhrig, Mathilde Goullieux, et al.. (2024). SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina. Nucleic Acids Research. 52(W1). W324–W332. 159 indexed citations breakdown →

4.

Röhrig, Ute F., Mathilde Goullieux, Marine Bugnon, & Vincent Zoete. (2023). Attracting Cavities 2.0: Improving the Flexibility and Robustness for Small-Molecule Docking. Journal of Chemical Information and Modeling. 63(12). 3925–3940. 35 indexed citations

5.

Bugnon, Marine, Mathilde Goullieux, Ute F. Röhrig, et al.. (2023). SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization. Journal of Chemical Information and Modeling. 63(21). 6469–6475. 108 indexed citations breakdown →

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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