G J Sawicki

1.9k total citations · 2 hit papers
9 papers, 1.6k citations indexed

About

G J Sawicki is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, G J Sawicki has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in G J Sawicki's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (3 papers) and Electrochemical Analysis and Applications (3 papers). G J Sawicki is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (3 papers) and Electrochemical Analysis and Applications (3 papers). G J Sawicki collaborates with scholars based in United States. G J Sawicki's co-authors include Susan Lindquist, Morton F. Arnsdorf, R. Parthasarathy, Xiao‐Min Lin, Heinrich M. Jaeger, Thomas Scheibel, Tricia R. Serio, Anil G. Cashikar, Anthony S. Kowal and Louise C. Serpell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation Research.

In The Last Decade

G J Sawicki

9 papers receiving 1.5k citations

Hit Papers

Nucleated Conformational Conversion and the Replication o... 2000 2026 2008 2017 2000 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G J Sawicki United States 7 1.2k 569 470 254 144 9 1.6k
Yin Luo China 28 1.2k 1.1× 773 1.4× 765 1.6× 415 1.6× 36 0.3× 51 2.3k
Douglas M. Fowler United States 7 1.6k 1.4× 1.0k 1.8× 403 0.9× 208 0.8× 133 0.9× 10 2.3k
Seema Qamar United Kingdom 26 1.4k 1.2× 375 0.7× 108 0.2× 219 0.9× 177 1.2× 62 2.0k
Bryan F. Shaw United States 21 623 0.5× 320 0.6× 134 0.3× 105 0.4× 114 0.8× 54 1.5k
Martino Calamai Italy 21 1.0k 0.9× 607 1.1× 216 0.5× 198 0.8× 68 0.5× 49 1.6k
Myriam Ouberaï United Kingdom 17 698 0.6× 571 1.0× 233 0.5× 76 0.3× 65 0.5× 25 1.6k
O. Sumner Makin United Kingdom 9 1.2k 1.0× 885 1.6× 607 1.3× 260 1.0× 45 0.3× 9 1.6k
Céline Galvagnion United Kingdom 21 1.5k 1.3× 1.7k 3.1× 436 0.9× 210 0.8× 187 1.3× 28 3.2k
Ryoichi Takahashi Japan 16 462 0.4× 399 0.7× 106 0.2× 335 1.3× 66 0.5× 60 1.3k
Seong‐Wook Yun Singapore 23 823 0.7× 211 0.4× 105 0.2× 353 1.4× 168 1.2× 40 1.7k

Countries citing papers authored by G J Sawicki

Since Specialization
Citations

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

Fields of papers citing papers by G J Sawicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G J Sawicki

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

All Works

9 of 9 papers shown
1.
Scheibel, Thomas, R. Parthasarathy, G J Sawicki, et al.. (2003). Conducting nanowires built by controlled self-assembly of amyloid fibers and selective metal deposition. Proceedings of the National Academy of Sciences. 100(8). 4527–4532. 619 indexed citations breakdown →
2.
Serio, Tricia R., Anil G. Cashikar, Anthony S. Kowal, G J Sawicki, & Susan Lindquist. (2001). Self-perpetuating changes in Sup35 protein conformation as a mechanism of heredity in yeast. Biochemical Society Symposia. 68(68). 35–43. 8 indexed citations
3.
Serio, Tricia R., Anil G. Cashikar, Anthony S. Kowal, et al.. (2000). Nucleated Conformational Conversion and the Replication of Conformational Information by a Prion Determinant. Science. 289(5483). 1317–1321. 793 indexed citations breakdown →
4.
Arnsdorf, Morton F. & G J Sawicki. (1996). Flecainide and the Electrophysiologic Matrix:. Journal of Cardiovascular Electrophysiology. 7(12). 1172–1182. 4 indexed citations
5.
Arnsdorf, Morton F. & G J Sawicki. (1989). Effects of ethmozin on excitability in sheep Purkinje fibers: the balance among active and passive cellular properties which comprise the electrophysiologic matrix.. Journal of Pharmacology and Experimental Therapeutics. 248(3). 1158–1166. 5 indexed citations
7.
Arnsdorf, Morton F., et al.. (1985). Effects of encainide on the determinants of cardiac excitability in sheep Purkinje fibers.. Journal of Pharmacology and Experimental Therapeutics. 232(1). 40–48. 14 indexed citations
9.
Arnsdorf, Morton F. & G J Sawicki. (1981). The effects of lysophosphatidylcholine, a toxic metabolite of ischemia, on the components of cardiac excitability in sheep Purkinje fibers.. Circulation Research. 49(1). 16–30. 93 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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