Amanda Ferguson

656 total citations · 1 hit paper
7 papers, 499 citations indexed

About

Amanda Ferguson is a scholar working on Molecular Biology, Organic Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amanda Ferguson has authored 7 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Organic Chemistry and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Amanda Ferguson's work include DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Amanda Ferguson is often cited by papers focused on DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Amanda Ferguson collaborates with scholars based in United States, United Kingdom and India. Amanda Ferguson's co-authors include Guanghui Han, Jeffrey R. Erickson, Lianguo Wang, Laëtitia Pereira, Donald M. Bers, Florin Despa, Ronald J. Copeland, Gerald W. Hart, Crystal M. Ripplinger and Balaji Babu and has published in prestigious journals such as Nature, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Amanda Ferguson

7 papers receiving 496 citations

Hit Papers

Diabetic hyperglycaemia activates CaMKII and arrhythmias ... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diabetic hyperglycaemia activates CaMKII and arrhythmias by O-linked glycosylation
    2013 467 citations Jeffrey R. Erickson, Laëtitia Pereira et al. Nature profile →

Peers

Amanda Ferguson
Jean‐Luc Zachayus France
Hyehun Choi United States
Marie‐Odile Guimond Canada
Theresa McSorley Germany
Anna Zoccarato United Kingdom
Tomoyoshi Koyanagi Japan
Linda Merkel United States
Yaxian Ding United States
Suma I. Shimuta Brazil
James A. Lynham United Kingdom
Jean‐Luc Zachayus France
Amanda Ferguson
Citations per year, relative to Amanda Ferguson Amanda Ferguson (= 1×) peers Jean‐Luc Zachayus

Countries citing papers authored by Amanda Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Ferguson

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Ferguson. A scholar is included among the top collaborators of Amanda Ferguson 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 Ferguson. Amanda Ferguson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Nichols, C. Blake, Chia-Wei Chang, Amanda Ferguson, et al.. (2014). β-Adrenergic Signaling Inhibits G q -Dependent Protein Kinase D Activation by Preventing Protein Kinase D Translocation. Circulation Research. 114(9). 1398–1409. 8 indexed citations
2.
Babu, Balaji, Yang Liu, Adam J. Plaunt, et al.. (2013). Affinity and kinetic modulation of polyamide–DNA interactions byN‐modification of the heterocycles. Biopolymers. 99(8). 497–507. 4 indexed citations
3.
Babu, Balaji, Pravin Patil, Adam J. Plaunt, et al.. (2013). Design, synthesis, and DNA binding characteristics of a group of orthogonally positioned diamino, N-formamido, pyrrole- and imidazole-containing polyamides. Bioorganic & Medicinal Chemistry. 21(13). 3907–3918. 4 indexed citations
4.
Erickson, Jeffrey R., Laëtitia Pereira, Lianguo Wang, et al.. (2013). Diabetic hyperglycaemia activates CaMKII and arrhythmias by O-linked glycosylation. Nature. 502(7471). 372–376. 467 indexed citations breakdown →
5.
Brown, Toni, Hilary Mackay, Balaji Babu, et al.. (2010). DNA Recognition: Design, Synthesis and Biophysical Characteristics of Pyrrole(H) Based Polyamides. Medicinal Chemistry. 6(3). 150–158. 3 indexed citations
6.
Babu, Balaji, Yang Liu, Adam J. Plaunt, et al.. (2010). Design, synthesis and DNA binding properties of orthogonally positioned diamino containing polyamide f-IPI. Biochemical and Biophysical Research Communications. 404(3). 848–852. 9 indexed citations
7.
Davis, Ryan R., Amanda Ferguson, Kristin E. Dittenhafer‐Reed, et al.. (2009). On the Synthesis and Anticancer Testing of α,β-Unsaturated Ketones as Analogs of Combretastatin-A4. Letters in Drug Design & Discovery. 6(7). 531–537. 4 indexed citations

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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