Clara Alloza

9 papers receiving 621 citations

Clara Alloza's Hit Papers

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants 2018 · 495 citations
4950+2+5Years since publication100200300400

Peers

Clara Alloza
Comparison fields: 5 of 91
  • Cognitive Neuroscience 296
  • Behavioral Neuroscience 36
  • Radiology, Nuclear Medicine and Imaging 161
  • Experimental and Cognitive Psychology 95
  • Psychiatry and Mental health 94
Replace Emma Neilson with:
Emma Neilson United Kingdom
Lianne M. Reus Netherlands
Helen L. Alderson United Kingdom
Gabriëlla A.M. Blokland United States
Lachlan T. Strike Australia
Linn B. Norbom Norway
Maria L. Sison United States
I.L.C. van Soelen Netherlands
Sabine E. Mous Netherlands
Marinka M. G. Koenis Netherlands
Clara Alloza relative to Emma Neilson United Kingdom Emma Neilson's profile →
Citations per field
00.5×1.5×
Emma Neilson · 1×
Citations per year

Countries citing papers authored by Clara Alloza

Since Specialization
Citations

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

Fields of papers citing papers by Clara Alloza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara Alloza. 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 Clara Alloza. The network helps show where Clara Alloza may publish in the future.

Co-authors

The 25 scholars most cited alongside Clara Alloza, 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 Clara Alloza Line = papers co-authored together Clara Alloza links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
Hit paper breakdown →
2018495
2 201827
3 201720
4 202219
5 201618
6 202017
7 202014
8 20219
9 20238

About Clara Alloza

Clara Alloza is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Psychiatry and Mental health and Health, having authored 9 papers that have together received 627 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Functional Brain Connectivity Studies (7 papers), Mental Health Research Topics (2 papers), Schizophrenia research and treatment (2 papers), Privacy-Preserving Technologies in Data (1 paper), Health disparities and outcomes (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Cognitive Neuroscience (296 citations), Behavioral Neuroscience (36 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Experimental and Cognitive Psychology (95 citations) and Psychiatry and Mental health (94 citations). Clara Alloza has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Heather C. Whalley, Mark E. Bastin, Stephen M. Lawrie, Ian J. Deary, Stuart J. Ritchie, Andrew M. McIntosh, Stuart Hunter, Emma Neilson, Helen L. Alderson and David C. Liewald. Their work appears in journals such as Cerebral Cortex, Nature Communications, Schizophrenia Bulletin, Translational Psychiatry and Clinical Pharmacology & Therapeutics.

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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