Iván García

51 total papers · 969 total citations
25 papers, 452 citations indexed

About

Iván García is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Iván García has authored 25 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Iván García's work include Neurological disorders and treatments (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Iván García is often cited by papers focused on Neurological disorders and treatments (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Iván García collaborates with scholars based in Spain, Cuba and Mexico. Iván García's co-authors include Luis M. Bergasa, Eva Vilarrasa, J. Javier Yebes, Javier Almazán, Antonio Pascual, L. Puig, Noelia Hernández, I. Parra, Carlos Maragoto and Rafael Rodríguez‐Rojas and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Iván García

24 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Iván García 119 79 64 59 51 25 452
Allan Wang 38 0.3× 14 0.2× 38 0.6× 4 0.1× 22 0.4× 29 498
Shimin Yin 14 0.1× 20 0.3× 21 0.3× 7 0.1× 53 1.0× 44 532
Jiwon Kim 48 0.4× 3 0.0× 60 0.9× 115 1.9× 11 0.2× 43 549
Rishabh C. Choudhary 36 0.3× 24 0.3× 12 0.2× 8 0.1× 19 0.4× 39 474
Michael Y. Wang 94 0.8× 24 0.3× 25 0.4× 26 0.4× 2 0.0× 35 515
Ning Bian 10 0.1× 41 0.5× 11 0.2× 18 0.3× 42 0.8× 39 438
Shigeyuki Kojima 86 0.7× 24 0.3× 23 0.4× 33 0.6× 5 0.1× 41 409
Luca Di Bartolomeo 7 0.1× 8 0.1× 16 0.3× 21 0.4× 40 0.8× 48 404
Nan Mu 55 0.5× 13 0.2× 11 0.2× 4 0.1× 24 0.5× 64 525
Nanxiang Li 35 0.3× 88 1.1× 39 0.6× 1 0.0× 32 0.6× 29 484

Countries citing papers authored by Iván García

Since Specialization
Citations

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

Fields of papers citing papers by Iván García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván García

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