Laura Pacey

1.6k citations
35 papers · 999 · h-index 16

Impact in

Papers in

    • Congenital heart defects research 3
    • Ubiquitin and proteasome pathways 2
    • Genetics and Neurodevelopmental Disorders 15

Laura Pacey

27 papers receiving 987 citations

Peers

Laura Pacey
Comparison fields: 5 of 83
  • Developmental Neuroscience 130
  • Cognitive Neuroscience 493
  • Genetics 663
  • Cellular and Molecular Neuroscience 159
  • Molecular Biology 521
Replace Vijayendran Chandran with:
Vijayendran Chandran United States
Julia V. Perederiy United States
Brian P. Larsen United States
Joel Almajano United States
Giuseppina Lonetti Italy
Alice Zhang United States
Qijiang Yan China
Lasani S. Wijetunge United Kingdom
Jin Nakatani Japan
Michael S. Sidorov United States
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Citations per field
00.5×1.5×1.8×
Vijayendran Chandran · 1×
Citations per year

Countries citing papers authored by Laura Pacey

Since Specialization
Citations

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

Fields of papers citing papers by Laura Pacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 2009105
3 2007101
4 201088
5 201381
6 201469
7 200656
8 201854
9 201651
10 201146
11 201142
12 200841
13 201137
14 201534
15 201124
16 200619
17 201412
18 20209
19 20149
20 20132

About Laura Pacey

Laura Pacey is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, General Health Professions and Archeology, having authored 35 papers that have together received 999 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Autism Spectrum Disorder Research (10 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Dental Education, Practice, Research (3 papers), Congenital heart defects research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Cognitive Neuroscience (493 citations), Genetics (663 citations), Cellular and Molecular Neuroscience (159 citations) and Molecular Biology (521 citations). Laura Pacey has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include David R. Hampson, Laurie C. Doering, Scott P. Heximer, Shervin Gholizadeh, R. Mark Henkelman, Jason Arsenault, Sujeenthar Tharmalingam, Jason P. Lerch, Jacob Ellegood and Sihui Asuka Guan. Their work appears in journals such as BDJ, Human Molecular Genetics, Neuropharmacology, BMC Neuroscience and Nuclear Medicine and Biology.

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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