María J. Suárez

24 total papers · 518 total citations
15 papers, 470 citations indexed

About

María J. Suárez is a scholar working on Organic Chemistry, Fluid Flow and Transfer Processes and Filtration and Separation. According to data from OpenAlex, María J. Suárez has authored 15 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 7 papers in Fluid Flow and Transfer Processes and 5 papers in Filtration and Separation. Recurrent topics in María J. Suárez's work include Surfactants and Colloidal Systems (10 papers), Thermodynamic properties of mixtures (7 papers) and Chemical and Physical Properties in Aqueous Solutions (5 papers). María J. Suárez is often cited by papers focused on Surfactants and Colloidal Systems (10 papers), Thermodynamic properties of mixtures (7 papers) and Chemical and Physical Properties in Aqueous Solutions (5 papers). María J. Suárez collaborates with scholars based in Spain, United Kingdom and Venezuela. María J. Suárez's co-authors include Vı́ctor Mosquera, Félix Sarmiento, David Attwood, Jacques Lang, Manuel Garcı́a, Gerardo Prieto, José Manuel del Rı́o, Malcolm N. Jones, Jorge Rodríguez and María Ángeles García Fernández and has published in prestigious journals such as Langmuir, The Journal of Physical Chemistry and Journal of Colloid and Interface Science.

In The Last Decade

María J. Suárez

14 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
María J. Suárez	379	119	116	111	92	15	470
K. M. Kale	377 1.0×	142 1.2×	137 1.2×	136 1.2×	109 1.2×	15	520
Jan Jaap H. Nusselder	351 0.9×	116 1.0×	92 0.8×	94 0.8×	91 1.0×	15	427
J. R. Tate	372 1.0×	88 0.7×	92 0.8×	121 1.1×	136 1.5×	16	544
Tejas Joshi	375 1.0×	85 0.7×	55 0.5×	104 0.9×	59 0.6×	14	455
David J. Jobe	274 0.7×	85 0.7×	60 0.5×	107 1.0×	140 1.5×	23	448
Sibani Das	388 1.0×	81 0.7×	68 0.6×	155 1.4×	82 0.9×	13	499
Md. Masud Alam	437 1.2×	171 1.4×	175 1.5×	64 0.6×	111 1.2×	29	508
Karen M. Glenn	318 0.8×	75 0.6×	41 0.4×	157 1.4×	151 1.6×	13	468
M.V. Kilday	283 0.7×	124 1.0×	76 0.7×	137 1.2×	98 1.1×	22	535
Damyanti Sharma	414 1.1×	55 0.5×	59 0.5×	142 1.3×	142 1.5×	10	471

Countries citing papers authored by María J. Suárez

Since Specialization

Citations

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

Fields of papers citing papers by María J. Suárez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Suárez. 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 María J. Suárez. The network helps show where María J. Suárez may publish in the future.

Co-authorship network of co-authors of María J. Suárez

This figure shows the co-authorship network connecting the top 25 collaborators of María J. Suárez. A scholar is included among the top collaborators of María J. Suárez 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 María J. Suárez. María J. Suárez 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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