Lucas Gutiérrez

48 total papers · 1.1k total citations
36 papers, 824 citations indexed

About

Lucas Gutiérrez is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Lucas Gutiérrez has authored 36 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 9 papers in Organic Chemistry. Recurrent topics in Lucas Gutiérrez's work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (10 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Lucas Gutiérrez is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (10 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Lucas Gutiérrez collaborates with scholars based in Argentina, United States and Spain. Lucas Gutiérrez's co-authors include Ricardo D. Enriz, Yu Li, Douglas O’Connell, Long‐Fei Wu, Kexin Zhang, Hong Wang, Wenyan Ren, Meiying Luo, Tian Zhang and Peng Zhang and has published in prestigious journals such as Scientific Reports, Trends in Pharmacological Sciences and Cell Death and Differentiation.

In The Last Decade

Lucas Gutiérrez

34 papers receiving 815 citations

Hit Papers

miR-137 regulates ferropt... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lucas Gutiérrez 513 282 264 124 114 36 824
Igor Mochalkin 510 1.0× 107 0.4× 228 0.9× 119 1.0× 171 1.5× 26 1.0k
Joshua A. Bittker 587 1.1× 127 0.5× 130 0.5× 140 1.1× 93 0.8× 31 900
Ying Liu 739 1.4× 258 0.9× 258 1.0× 29 0.2× 91 0.8× 35 1.0k
Kaori Honda 705 1.4× 131 0.5× 73 0.3× 45 0.4× 149 1.3× 47 1.0k
Greg N. Brooke 439 0.9× 216 0.8× 316 1.2× 24 0.2× 47 0.4× 31 900
Peng Zou 641 1.2× 255 0.9× 190 0.7× 20 0.2× 69 0.6× 25 1.0k
Joanne Brodfuehrer 346 0.7× 57 0.2× 228 0.9× 108 0.9× 108 0.9× 36 930
Song Feng 356 0.7× 119 0.4× 62 0.2× 73 0.6× 159 1.4× 37 930
Christos Papageorgiou 451 0.9× 176 0.6× 146 0.6× 32 0.3× 202 1.8× 61 1.0k
Yeong Sang Kim 612 1.2× 107 0.4× 190 0.7× 57 0.5× 70 0.6× 17 860

Countries citing papers authored by Lucas Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Gutiérrez

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