Javier Redding‐Ochoa
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
Papers in
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- Extracellular vesicles in disease 5
- RNA Research and Splicing 4
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- Parkinson's Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Amyotrophic Lateral Sclerosis Research 2
- Co-authors
- Juan C. Troncoso (18 shared papers)Olga Pletniková (6 shared papers)Yiyao Huang (5 shared papers)Kenneth W. Witwer (5 shared papers)Ted M. Dawson (4 shared papers)Tanina Arab (4 shared papers)Pablo Martínez (3 shared papers)David A. Routenberg (4 shared papers)
- Journals
- Acta Neuropathologica (2 papers)Journal of Alzheimer s Disease (2 papers)Alzheimer s & Dementia (1 paper)Biological Psychiatry (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Javier Redding‐Ochoa
19 papers receiving 230 citations
Peers
Comparison fields: 5 of 53
- Neurology 48
- Neurology 60
- Biological Psychiatry 7
- Physiology 62
- Cancer Research 33
Countries citing papers authored by Javier Redding‐Ochoa
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2022 | 30 | |
| 3 | 2023 | 29 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 |
About Javier Redding‐Ochoa
Javier Redding‐Ochoa is a scholar working on Molecular Biology, Neurology, Neurology, Physiology and Cancer Research, having authored 19 papers that have together received 231 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), RNA Research and Splicing (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Neurology (48 citations), Neurology (60 citations), Biological Psychiatry (7 citations), Physiology (62 citations) and Cancer Research (33 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, Pablo Martínez, David A. Routenberg, Valina L. Dawson and Cristian A. Lasagna‐Reeves. Their work appears in journals such as Acta Neuropathologica, Journal of Alzheimer s Disease, Alzheimer s & Dementia, Biological Psychiatry and Cell Reports.
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.