Anna Preece

1.3k citations
8 papers · 986 · h-index 8

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genetics and Neurodevelopmental Disorders
    • Genomics and Rare Diseases

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Receptor Mechanisms and Signaling 2
    • Genetic Associations and Epidemiology 4

Anna Preece

8 papers receiving 954 citations

Peers

Anna Preece
Comparison fields: 5 of 59
  • Biological Psychiatry 72
  • Genetics 445
  • Developmental Neuroscience 64
  • Aging 27
  • Cellular and Molecular Neuroscience 280
Replace Virginia K. Lasseter with:
Virginia K. Lasseter United States
Benjamin McClintock United States
Marc P. Forrest United States
Erika Pedrosa United States
Itaru Kushima Japan
Mirna Kvajo United States
James Gilbert United States
Tatsuyuki Muratake Japan
Satomi Umeda‐Yano Japan
Lyudmila Georgieva United Kingdom
Anna Preece relative to Virginia K. Lasseter United States Virginia K. Lasseter's profile →
Citations per field
00.5×4.5×
Virginia K. Lasseter · 1×
Citations per year

Countries citing papers authored by Anna Preece

Since Specialization
Citations

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

Fields of papers citing papers by Anna Preece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2003181
2 2004156
3 2005146
4 2005140
5 2004122
6 2004103
7 200695
8 200543

About Anna Preece

Anna Preece is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 986 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), HER2/EGFR in Cancer Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Biological Psychiatry (72 citations), Genetics (445 citations), Developmental Neuroscience (64 citations), Aging (27 citations) and Cellular and Molecular Neuroscience (280 citations). Anna Preece has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Nigel Williams, Michael O’Donovan, Michael J. Owen, Nadine Norton, Stanley Zammit, Hywel Williams, Valentina Moskvina, Nicholas J. Bray, Gillian Spurlock and Paul R. Buckland. Their work appears in journals such as Biological Psychiatry, Human Molecular Genetics, BMC Psychiatry, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and Molecular Psychiatry.

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.

Explore authors with similar magnitude of impact