Merveille Eguida

505 total citations
6 papers, 72 citations indexed

About

Merveille Eguida is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Merveille Eguida has authored 6 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Merveille Eguida's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Merveille Eguida is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Merveille Eguida collaborates with scholars based in France, Denmark and Canada. Merveille Eguida's co-authors include Didier Rognan, Pascal Villa, Marcel Hibert, P. Loppnau, Almagul Seitova, Levon Halabelian, Fengling Li, Scott Houliston, Rachel Harding and Ashley Hutchinson and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Merveille Eguida

6 papers receiving 72 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Merveille Eguida France	5	56	45	15	12	9	6	72
Anna Carbery United Kingdom	4	41 0.7×	49 1.1×	10 0.7×	12 1.0×	9 1.0×	4	63
Martin Simonovsky France	2	38 0.7×	40 0.9×	10 0.7×	16 1.3×	2 0.2×	4	59
Clément Vignac Switzerland	2	32 0.6×	34 0.8×	4 0.3×	26 2.2×	7 0.8×	2	71
Ruicheng Yang China	5	43 0.8×	55 1.2×	6 0.4×	20 1.7×	14 1.6×	5	89
Rui Yao China	3	23 0.4×	26 0.6×	4 0.3×	15 1.3×	4 0.4×	6	48
Reinis R. Ruza United Kingdom	7	19 0.3×	77 1.7×	23 1.5×	3 0.3×	13 1.4×	9	109
Rafael I. Brent United States	2	46 0.8×	41 0.9×	10 0.7×	14 1.2×	2 0.2×	3	55
Murray G. Read United Kingdom	2	33 0.6×	29 0.6×	5 0.3×	43 3.6×	5 0.6×	2	70
Alison R. Gregro United States	5	45 0.8×	40 0.9×	25 1.7×	3 0.3×	20 2.2×	8	80
Soojung Yang South Korea	2	119 2.1×	93 2.1×	20 1.3×	58 4.8×	4 0.4×	3	142

Countries citing papers authored by Merveille Eguida

Since Specialization

Citations

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

Fields of papers citing papers by Merveille Eguida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merveille Eguida

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

All Works

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6 of 6 papers shown

1.

Eguida, Merveille, et al.. (2024). Protein Structure-Based Organic Chemistry-Driven Ligand Design from Ultralarge Chemical Spaces. ACS Central Science. 10(3). 615–627. 10 indexed citations

2.

Eguida, Merveille, Guillaume Bret, Fengling Li, et al.. (2024). Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2. Journal of Chemical Information and Modeling. 64(13). 5344–5355. 4 indexed citations

3.

Eguida, Merveille & Didier Rognan. (2022). Estimating the Similarity between Protein Pockets. International Journal of Molecular Sciences. 23(20). 12462–12462. 20 indexed citations

4.

Eguida, Merveille, et al.. (2022). Target-Focused Library Design by Pocket-Applied Computer Vision and Fragment Deep Generative Linking. Journal of Medicinal Chemistry. 65(20). 13771–13783. 14 indexed citations

5.

Eguida, Merveille & Didier Rognan. (2021). Unexpected similarity between HIV-1 reverse transcriptase and tumor necrosis factor binding sites revealed by computer vision. Journal of Cheminformatics. 13(1). 90–90. 5 indexed citations

6.

Eguida, Merveille & Didier Rognan. (2020). A Computer Vision Approach to Align and Compare Protein Cavities: Application to Fragment-Based Drug Design. Journal of Medicinal Chemistry. 63(13). 7127–7142. 19 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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