Javier Redding‐Ochoa

704 citations
19 papers · 289 · h-index 10

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Extracellular vesicles in disease 5
    • RNA Research and Splicing 3
    • Alzheimer's disease research and treatments 6

Javier Redding‐Ochoa

19 papers receiving 288 citations

Peers

Javier Redding‐Ochoa
Comparison fields: 5 of 52
  • Neurology 44
  • Neurology 59
  • Biological Psychiatry 8
  • Physiology 55
  • Molecular Biology 145
Replace Madhurima Chatterjee with:
Madhurima Chatterjee Netherlands
Lisa Epping Germany
Weilong Huang China
Kevin M. Budge United States
Mikiko Tada Japan
Grammatiki Fotaki Sweden
Bhavana Palakurthi United States
Brianna Godlewski United States
Miguel Cuevas United States
Javier Redding‐Ochoa relative to Madhurima Chatterjee Netherlands Madhurima Chatterjee's profile →
Citations per field
00.5×11.7×
Madhurima Chatterjee · 1×
Citations per year

Countries citing papers authored by Javier Redding‐Ochoa

Since Specialization
Citations

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

Fields of papers citing papers by Javier Redding‐Ochoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Redding‐Ochoa. 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 Redding‐Ochoa. The network helps show where Javier Redding‐Ochoa may publish in the future.

Co-authors

The 25 scholars most cited alongside Javier Redding‐Ochoa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Redding‐Ochoa Line = papers co-authored together Javier Redding‐Ochoa links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202335
2 202234
3 202232
4 202328
5 202225
6 202324
7 202418
8 202218
9 202417
10 202314
11 20249
12 20227
13 20237
14 20237
15 20255
16 20254
17 20233
18 20241
19 20231

About Javier Redding‐Ochoa

Javier Redding‐Ochoa is a scholar working on Molecular Biology, Physiology, Neurology, Neurology and Cell Biology, having authored 19 papers that have together received 289 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Extracellular vesicles in disease (5 papers), Dementia and Cognitive Impairment Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA Research and Splicing (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (44 citations), Neurology (59 citations), Biological Psychiatry (8 citations), Physiology (55 citations) and Molecular Biology (145 citations). Javier Redding‐Ochoa has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Juan C. Troncoso, Olga Pletniková, Yiyao Huang, Kenneth W. Witwer, Ted M. Dawson, Tanina Arab, David A. Routenberg, Hu Wang, Andrey Turchinovich and Chan Hyun Na. Their work appears in journals such as Journal of Alzheimer s Disease, Acta Neuropathologica, Cell Reports, Neurology Genetics and Nature Cell Biology.

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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