Javier H. Jara

17 total papers · 814 total citations
15 papers, 675 citations indexed

About

Javier H. Jara is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Javier H. Jara has authored 15 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 10 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Javier H. Jara's work include Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Javier H. Jara is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Javier H. Jara collaborates with scholars based in United States, Czechia and Türkiye. Javier H. Jara's co-authors include P. Hande Özdi̇nler, Barış Genç, Eileen H. Bigio, Mukesh Gautam, Martha C. Bohn, Raymond P. Roos, Angela M. Floden, Brij B. Singh, Colin K. Combs and Dominic D. Frank and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Javier H. Jara

15 papers receiving 669 citations

Author Peers

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

Author Last Decade Papers Cites
Javier H. Jara 433 271 249 174 139 15 675
Alice Brockington 379 0.9× 219 0.8× 223 0.9× 149 0.9× 96 0.7× 14 668
Reika Wate 530 1.2× 264 1.0× 318 1.3× 133 0.8× 110 0.8× 27 706
Shashirekha S. Markandaiah 422 1.0× 246 0.9× 289 1.2× 129 0.7× 89 0.6× 10 638
Elizabeth C. Lopes 432 1.0× 247 0.9× 251 1.0× 211 1.2× 84 0.6× 17 680
Mandi Gandelman 340 0.8× 149 0.5× 280 1.1× 186 1.1× 188 1.4× 17 728
Ruxandra Dafinca 441 1.0× 224 0.8× 362 1.5× 138 0.8× 91 0.7× 14 623
Akito Ikemoto 386 0.9× 144 0.5× 219 0.9× 125 0.7× 184 1.3× 24 630
Mito Shiote 411 0.9× 276 1.0× 216 0.9× 198 1.1× 86 0.6× 21 643
Stefan Waibel 463 1.1× 274 1.0× 238 1.0× 165 0.9× 178 1.3× 13 676
Omar Dabbagh 479 1.1× 287 1.1× 254 1.0× 151 0.9× 149 1.1× 19 735

Countries citing papers authored by Javier H. Jara

Since Specialization
Citations

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

Fields of papers citing papers by Javier H. Jara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier H. Jara. 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 Javier H. Jara. The network helps show where Javier H. Jara may publish in the future.

Co-authorship network of co-authors of Javier H. Jara

This figure shows the co-authorship network connecting the top 25 collaborators of Javier H. Jara. A scholar is included among the top collaborators of Javier H. Jara 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 Javier H. Jara. Javier H. Jara 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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