María J. Arranz
- Biological Psychiatry top 1%
- Psychiatry and Mental health top 0.5%
- Schizophrenia research and treatment 38
- Bipolar Disorder and Treatment 19
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- Neurotransmitter Receptor Influence on Behavior 15
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 18
- Behavioral Neuroscience top 5%
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- Receptor Mechanisms and Signaling 22
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- Genetic Associations and Epidemiology 14
- Genomics and Rare Diseases 9
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- Autism Spectrum Disorder Research 10
- Co-authors
- David CollierRobert KerwinJosé de LeónPak C. ShamGeorge KirovRobin MurrayJanet MunroHomero Vallada
- Journals
- Nature Genetics (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
María J. Arranz
109 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Biological Psychiatry 344
- Psychiatry and Mental health 1.8k
- Cellular and Molecular Neuroscience 1.3k
- Pharmacology 540
- Behavioral Neuroscience 153
Countries citing papers authored by María J. Arranz
This map shows the geographic impact of María J. Arranz'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 María J. Arranz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María J. Arranz more than expected).
Fields of papers citing papers by María J. Arranz
This network shows the impact of papers produced by María J. Arranz. 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 María J. Arranz. The network helps show where María J. Arranz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María J. Arranz, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 110 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 18 | |
| 10 | 2019 | 20 | |
| 11 | 2013 | 51 | |
| 12 | 2009 | 14 | |
| 13 | 2007 | 18 | |
| 14 | 2006 | 10 | |
| 15 | 2003 | 10 | |
| 16 | 2002 | 27 | |
| 17 | 2001 | 33 | |
| 18 | 2000 | 73 | |
| 19 | 1999 | 52 | |
| 20 | 1997 | 91 |
About María J. Arranz
María J. Arranz is a scholar working on Psychiatry and Mental health, Pharmacology and Biological Psychiatry, having authored 113 papers that have together received 4.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (38 papers), Receptor Mechanisms and Signaling (22 papers), Bipolar Disorder and Treatment (19 papers), Pharmacogenetics and Drug Metabolism (18 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Genetic Associations and Epidemiology (14 papers), Autism Spectrum Disorder Research (10 papers) and Genomics and Rare Diseases (9 papers). The work is most often cited by research in Biological Psychiatry (344 citations), Psychiatry and Mental health (1.8k citations) and Cellular and Molecular Neuroscience (1.3k citations). María J. Arranz has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include David Collier, Robert Kerwin, José de León, Pak C. Sham, George Kirov, Robin Murray, Janet Munro, Homero Vallada, Tao Li and Ignácio F. Mata. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.
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.