Jack de la Torre

19 total papers · 750 total citations
8 papers, 572 citations indexed

About

Jack de la Torre is a scholar working on Neurology, Physiology and Developmental Neuroscience. According to data from OpenAlex, Jack de la Torre has authored 8 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Physiology and 2 papers in Developmental Neuroscience. Recurrent topics in Jack de la Torre's work include Neurological Disease Mechanisms and Treatments (4 papers), Neurological Disorders and Treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Jack de la Torre is often cited by papers focused on Neurological Disease Mechanisms and Treatments (4 papers), Neurological Disorders and Treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Jack de la Torre collaborates with scholars based in United States, Spain and Canada. Jack de la Torre's co-authors include Michael T. Shipley, George Perry, Gjumrakch Aliev, Mark A. Smith, Shu G. Chen, Dilara Seyidova, Ali Aliyev, Xiongwei Zhu, Sandra L. Siedlak and Mayank Kansal and has published in prestigious journals such as Brain Research, Free Radical Biology and Medicine and Neurobiology of Aging.

In The Last Decade

Jack de la Torre

8 papers receiving 559 citations

Author Peers

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

Author Last Decade Papers Cites
Jack de la Torre 182 165 161 133 121 8 572
Yvonne F. Brünner 224 1.2× 144 0.9× 114 0.7× 90 0.7× 99 0.8× 11 604
Jörg Pohle 151 0.8× 221 1.3× 253 1.6× 57 0.4× 150 1.2× 9 581
Emanuele Murana 132 0.7× 94 0.6× 183 1.1× 151 1.1× 122 1.0× 9 564
Modesto R. Peralta 50 0.3× 117 0.7× 188 1.2× 90 0.7× 119 1.0× 9 536
Maria Cristina Marrone 140 0.8× 86 0.5× 173 1.1× 201 1.5× 181 1.5× 10 609
Helen E. Gibson 152 0.8× 277 1.7× 325 2.0× 40 0.3× 199 1.6× 6 633
Jillian C. Belrose 138 0.8× 183 1.1× 106 0.7× 71 0.5× 192 1.6× 16 657
Michela Giustizieri 122 0.7× 90 0.5× 236 1.5× 99 0.7× 243 2.0× 15 557
Ivan Dittert 179 1.0× 205 1.2× 331 2.1× 32 0.2× 233 1.9× 15 622
Kimberly G. Freeman 93 0.5× 39 0.2× 270 1.7× 44 0.3× 105 0.9× 14 564

Countries citing papers authored by Jack de la Torre

Since Specialization
Citations

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

Fields of papers citing papers by Jack de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack de la Torre. 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 Jack de la Torre. The network helps show where Jack de la Torre may publish in the future.

Co-authorship network of co-authors of Jack de la Torre

This figure shows the co-authorship network connecting the top 25 collaborators of Jack de la Torre. A scholar is included among the top collaborators of Jack de la Torre 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 Jack de la Torre. Jack de la Torre 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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