Alejandro Gella
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
-
- Mitochondrial Function and Pathology 3
- ATP Synthase and ATPases Research 2
-
- Alzheimer's disease research and treatments 6
- Adenosine and Purinergic Signaling 4
- Co-authors
- Núria Durany (6 shared papers)Mercedes Unzeta (5 shared papers)Irene Bolea (5 shared papers)Xavier Fernàndez‐Busquets (2 shared papers)Tony Valente (2 shared papers)Josep Cladera (2 shared papers)Oxana Klementieva (1 shared paper)Dietmar Appelhans (1 shared paper)
- Journals
- Current Alzheimer Research (2 papers)Journal of Neural Transmission (2 papers)Neuroscience (1 paper)Biomacromolecules (1 paper)Neurogenetics (1 paper)
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Alejandro Gella
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Biological Psychiatry 52
- Clinical Biochemistry 109
- Neurology 124
- Physiology 379
- Pharmacology 225
Countries citing papers authored by Alejandro Gella
This map shows the geographic impact of Alejandro Gella'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 Alejandro Gella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Gella more than expected).
Fields of papers citing papers by Alejandro Gella
This network shows the impact of papers produced by Alejandro Gella. 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 Alejandro Gella. The network helps show where Alejandro Gella may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Gella, 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 | 2009 | 379 | |
| 2 | 2009 | 166 | |
| 3 | 2012 | 146 | |
| 4 | 2011 | 89 | |
| 5 | 2013 | 40 | |
| 6 | 2019 | 34 | |
| 7 | 2010 | 34 | |
| 8 | 2014 | 30 | |
| 9 | 2014 | 26 | |
| 10 | 2011 | 23 | |
| 11 | 2012 | 20 | |
| 12 | 2017 | 16 | |
| 13 | 2011 | 15 | |
| 14 | 2008 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2012 | 10 | |
| 17 | 2013 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2011 | 4 |
About Alejandro Gella
Alejandro Gella is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Clinical Biochemistry and Neurology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Nerve injury and regeneration (5 papers), Adenosine and Purinergic Signaling (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Advanced Glycation End Products research (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Clinical Biochemistry (109 citations), Neurology (124 citations), Physiology (379 citations) and Pharmacology (225 citations). Alejandro Gella has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Núria Durany, Mercedes Unzeta, Irene Bolea, Xavier Fernàndez‐Busquets, Tony Valente, Josep Cladera, Oxana Klementieva, Dietmar Appelhans, Núria Benseny‐Cases and Brigitte Voit. Their work appears in journals such as Current Alzheimer Research, Journal of Neural Transmission, Neuroscience, Biomacromolecules and Neurogenetics.
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.