J. Juan-Juan

20 total papers · 2.0k total citations
17 papers, 1.7k citations indexed

About

J. Juan-Juan is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, J. Juan-Juan has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 10 papers in Catalysis and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in J. Juan-Juan's work include Catalytic Processes in Materials Science (12 papers), Catalysis and Oxidation Reactions (10 papers) and Catalysts for Methane Reforming (5 papers). J. Juan-Juan is often cited by papers focused on Catalytic Processes in Materials Science (12 papers), Catalysis and Oxidation Reactions (10 papers) and Catalysts for Methane Reforming (5 papers). J. Juan-Juan collaborates with scholars based in Spain, Ireland and United States. J. Juan-Juan's co-authors include M.C. Román-Martı́nez, María José Illán Gómez, Á. Linares-Solano, Diego Cazorla‐Amorós, M.A. Lillo-Ródenas, Fabián Suárez‐García, J.P. Marco-Lozar, Arantxa Davó‐Quiñonero, Agustín Bueno‐López and Dolores Lozano‐Castelló and has published in prestigious journals such as Applied Catalysis B: Environmental, Carbon and ACS Catalysis.

In The Last Decade

J. Juan-Juan

17 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
J. Juan-Juan 1.3k 1.0k 340 262 229 17 1.7k
G. Bagnasco 1.4k 1.1× 940 0.9× 393 1.2× 205 0.8× 104 0.5× 40 1.8k
Kanaparthi Ramesh 1.4k 1.1× 742 0.7× 375 1.1× 240 0.9× 221 1.0× 30 1.9k
Lata Pasupulety 1.3k 1.0× 644 0.6× 456 1.3× 423 1.6× 170 0.7× 21 1.9k
Radu Crăciun 1.2k 0.9× 672 0.7× 223 0.7× 223 0.9× 190 0.8× 22 1.5k
Marjan Versluijs‐Helder 784 0.6× 411 0.4× 257 0.8× 212 0.8× 150 0.7× 20 1.3k
Uma Tumuluri 961 0.7× 506 0.5× 491 1.4× 276 1.1× 205 0.9× 18 1.4k
E. Linga Reddy 1.3k 1.0× 798 0.8× 407 1.2× 325 1.2× 79 0.3× 33 2.0k
Qingfang Deng 926 0.7× 368 0.4× 366 1.1× 180 0.7× 176 0.8× 38 1.4k
Yahui Sun 1.4k 1.1× 640 0.6× 489 1.4× 144 0.5× 356 1.6× 34 1.9k
Mohamed Kacimi 882 0.7× 513 0.5× 274 0.8× 310 1.2× 97 0.4× 45 1.3k

Countries citing papers authored by J. Juan-Juan

Since Specialization
Citations

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

Fields of papers citing papers by J. Juan-Juan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Juan-Juan

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