Barbara Pullar

1.2k citations
6 papers · 906 · h-index 6

Impact in

    • Nanoparticle-Based Drug Delivery
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Human-Animal Interaction Studies
    • Genetic and phenotypic traits in livestock

Papers in

    • Hedgehog Signaling Pathway Studies 3
    • Epigenetics and DNA Methylation 2
    • Developmental Biology and Gene Regulation 2
    • Glioma Diagnosis and Treatment 2
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic and phenotypic traits in livestock 1

Barbara Pullar

6 papers receiving 885 citations

Peers

Barbara Pullar
Comparison fields: 5 of 91
  • Biomaterials 207
  • Genetics 120
  • Genetics 211
  • Equine 11
  • Molecular Biology 470
Replace John Wardale with:
John Wardale United Kingdom
Winston W.‐Y. Kao United States
Christopher G. Wilson United States
S. Sher United States
Karlijn J. Wilschut Netherlands
Anton V. Borovjagin United States
Yanmei Qi China
Denitza Raitcheva United States
Raymond Page United States
Giacomo Donati Italy
Barbara Pullar relative to John Wardale United Kingdom John Wardale's profile →
Citations per field
00.5×3.0×
John Wardale · 1×
Citations per year

Countries citing papers authored by Barbara Pullar

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Pullar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2009327
2 2004245
3 2008147
4 2012111
5 200755
6 201021

About Barbara Pullar

Barbara Pullar is a scholar working on Molecular Biology, Genetics, Ecology, Biomaterials and Genetics, having authored 6 papers that have together received 906 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (2 papers), Glioma Diagnosis and Treatment (2 papers), Developmental Biology and Gene Regulation (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Wildlife Ecology and Conservation (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Biomaterials (207 citations), Genetics (120 citations), Genetics (211 citations), Equine (11 citations) and Molecular Biology (470 citations). Barbara Pullar has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Nathan B. Sutter, Leonid Kruglyak, Michael A. Eberle, Elaine A. Ostrander, Heidi G. Parker, Ewen F. Kirkness, Sally Ditzler, James M. Olson, Conroy Sun and Richard G. Ellenbogen. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Journal of Neuro-Oncology, Oncogene and Genome Research.

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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