Mazheva Guillevic

16 total papers · 567 total citations
6 papers, 489 citations indexed

About

Mazheva Guillevic is a scholar working on Biomaterials, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Mazheva Guillevic has authored 6 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomaterials, 3 papers in Inorganic Chemistry and 3 papers in Materials Chemistry. Recurrent topics in Mazheva Guillevic's work include Metal-Organic Frameworks: Synthesis and Applications (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Energetic Materials and Combustion (2 papers). Mazheva Guillevic is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Energetic Materials and Combustion (2 papers). Mazheva Guillevic collaborates with scholars based in France, Spain and United States. Mazheva Guillevic's co-authors include Elena Bellido, Christian Serre, Tania Hidalgo, Patricia Horcajada, Manuel J. Santander‐Ortega, Rosana Simón‐Vázquez, Marı́a José Alonso, África González‐Fernández, M.V. Lozano and Mónica Giménez‐Marqués and has published in prestigious journals such as Langmuir, Scientific Reports and Crystal Growth & Design.

In The Last Decade

Mazheva Guillevic

6 papers receiving 487 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mazheva Guillevic	347	206	194	163	94	6	489
Romain Grall	113 0.3×	196 1.0×	263 1.4×	104 0.6×	34 0.4×	11	515
Huipeng Xu	252 0.7×	148 0.7×	191 1.0×	119 0.7×	50 0.5×	15	487
Ana Arenas‐Vivo	306 0.9×	207 1.0×	287 1.5×	65 0.4×	53 0.6×	10	544
Lei Ge	110 0.3×	251 1.2×	243 1.3×	109 0.7×	25 0.3×	11	499
Connor J. R. Wells	281 0.8×	173 0.8×	284 1.5×	98 0.6×	52 0.6×	13	550
Gerald E. Decker	341 1.0×	98 0.5×	228 1.2×	64 0.4×	23 0.2×	9	475
Gesa Zahn	340 1.0×	121 0.6×	256 1.3×	54 0.3×	36 0.4×	5	421
Miriam de J. Velásquez‐Hernández	337 1.0×	140 0.7×	271 1.4×	56 0.3×	44 0.5×	10	537
Abdelfateh Zakhama	324 0.9×	171 0.8×	185 1.0×	108 0.7×	70 0.7×	10	443
Alexander Mohmeyer	399 1.1×	147 0.7×	329 1.7×	52 0.3×	51 0.5×	7	540

Countries citing papers authored by Mazheva Guillevic

Since Specialization

Citations

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

Fields of papers citing papers by Mazheva Guillevic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazheva Guillevic

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

All Works

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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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