Amanda Heppell-Parton

19 total papers · 870 total citations
17 papers, 728 citations indexed

About

Amanda Heppell-Parton is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Amanda Heppell-Parton has authored 17 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Amanda Heppell-Parton's work include Genomic variations and chromosomal abnormalities (6 papers), Chromosomal and Genetic Variations (6 papers) and Cancer Genomics and Diagnostics (3 papers). Amanda Heppell-Parton is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Chromosomal and Genetic Variations (6 papers) and Cancer Genomics and Diagnostics (3 papers). Amanda Heppell-Parton collaborates with scholars based in United Kingdom, United States and France. Amanda Heppell-Parton's co-authors include Pamela Rabbitts, Helen Impey, Maria de Sousa, Andrew J.H. Smith, Bernard Kwabi‐Addo, Margery A. Barrand, P R Twentyman, Nicholas J. Lowe, Cordelia Langford and C. Tease and has published in prestigious journals such as Nature Genetics, JNCI Journal of the National Cancer Institute and Oncogene.

In The Last Decade

Amanda Heppell-Parton

17 papers receiving 715 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amanda Heppell-Parton 525 271 166 139 91 17 728
D.B. Zimonjic 667 1.3× 244 0.9× 157 0.9× 66 0.5× 132 1.5× 16 887
J M Parrington 539 1.0× 236 0.9× 78 0.5× 108 0.8× 91 1.0× 12 759
Anne Fertitta 491 0.9× 166 0.6× 99 0.6× 73 0.5× 72 0.8× 11 712
Ngan Ching Cheng 679 1.3× 186 0.7× 109 0.7× 77 0.6× 235 2.6× 20 896
Nancy Henderson 541 1.0× 251 0.9× 59 0.4× 54 0.4× 74 0.8× 14 824
Hiroshi Uejima 654 1.2× 366 1.4× 59 0.4× 88 0.6× 46 0.5× 16 801
L.L. Deaven 399 0.8× 163 0.6× 65 0.4× 96 0.7× 81 0.9× 14 648
S. S. Lawrie 495 0.9× 197 0.7× 204 1.2× 148 1.1× 97 1.1× 15 785
Tim L. Reudelhuber 496 0.9× 305 1.1× 90 0.5× 44 0.3× 83 0.9× 17 816
Jennifer M. Parrington 407 0.8× 162 0.6× 53 0.3× 88 0.6× 117 1.3× 23 653

Countries citing papers authored by Amanda Heppell-Parton

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Heppell-Parton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Heppell-Parton. 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 Amanda Heppell-Parton. The network helps show where Amanda Heppell-Parton may publish in the future.

Co-authorship network of co-authors of Amanda Heppell-Parton

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Heppell-Parton. A scholar is included among the top collaborators of Amanda Heppell-Parton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amanda Heppell-Parton. Amanda Heppell-Parton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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