Veronica J. Buckle

9.1k citations
91 papers · 6.5k indexed · h-index 47
  • Genetics top 0.5%
    • Genomic variations and chromosomal abnormalities 14
    • Genetics and Neurodevelopmental Disorders 14
    • Genomics and Chromatin Dynamics 23
    • RNA Research and Splicing 14
    • CRISPR and Genetic Engineering 9
    • RNA modifications and cancer 8
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 8
  • Genetics top 2%
    • Genomic variations and chromosomal abnormalities 14
    • Genetics and Neurodevelopmental Disorders 14
  • Aging top 5%
    • Chromosomal and Genetic Variations 16

Veronica J. Buckle

90 papers receiving 6.3k citations

Peers

Veronica J. Buckle
Comparison fields: 5 of 130
  • Genetics 2.1k
  • Molecular Biology 4.6k
  • Hematology 516
  • Genetics 465
  • Aging 66
Replace Arthur I. Skoultchi with:
Arthur I. Skoultchi United States
Stephen T. Reeders United States
Joost Gribnau Netherlands
Peter J. Donovan United States
Daniela Toniolo Italy
Konstantinos Anastassiadis Germany
Tomek Swigut United States
Joan H.M. Knoll United States
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Mariano Rocchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Veronica J. Buckle

Since Specialization
Citations

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

Fields of papers citing papers by Veronica J. Buckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica J. Buckle. 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 Veronica J. Buckle. The network helps show where Veronica J. Buckle may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 2020121
3 202077
4 201817
5 2018134
6 2012194
7 201134
8 2008260
9
Cytogenetics in haematology
20012
10 199412
11
MOLECULAR MAPPING OF THE 7Q-DELETION IN MYELOID DISORDERS
19933
12 199352
13 1993124
14 199271
15 19902
16 1987115
17 198727
18 19877
19 1987148
20 198658

About Veronica J. Buckle

Veronica J. Buckle is a scholar working on Genetics, Genetics and Hematology, having authored 91 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (23 papers), Chromosomal and Genetic Variations (16 papers), Genomic variations and chromosomal abnormalities (14 papers), Genetics and Neurodevelopmental Disorders (14 papers), RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (9 papers), Acute Myeloid Leukemia Research (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Genetics (2.1k citations), Molecular Biology (4.6k citations) and Hematology (516 citations). Veronica J. Buckle has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Douglas R. Higgs, Jill M. Brown, Andrew O.M. Wilkie, William R. Brown, Ian Craig, Jonathan Flint, E.P. Evans, Jim R. Hughes, W. G. Wood and Nigel K. Spurr. Their work appears in journals such as Nature, Science and Cell.

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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