Maria A. Murphy

15 total papers · 744 total citations
14 papers, 648 citations indexed

About

Maria A. Murphy is a scholar working on Electrochemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Maria A. Murphy has authored 14 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrochemistry, 6 papers in Electrical and Electronic Engineering and 5 papers in Molecular Biology. Recurrent topics in Maria A. Murphy's work include Electrochemical Analysis and Applications (7 papers), Electrochemical sensors and biosensors (4 papers) and Conducting polymers and applications (4 papers). Maria A. Murphy is often cited by papers focused on Electrochemical Analysis and Applications (7 papers), Electrochemical sensors and biosensors (4 papers) and Conducting polymers and applications (4 papers). Maria A. Murphy collaborates with scholars based in Australia, United Kingdom and Poland. Maria A. Murphy's co-authors include David D.L. Bowtell, Wallace Y. Langdon, Christine B.F. Thien, Deon J. Venter, Ivan Bertoncello, Louise Barnett, Frank Marken, L.D. Burke, Marcin Opałło and Joanna Niedziółka‐Jönsson and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Molecular and Cellular Biology.

In The Last Decade

Maria A. Murphy

14 papers receiving 637 citations

Author Peers

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

Author Last Decade Papers Cites
Maria A. Murphy 307 200 122 115 110 14 648
Yu-Heng Cheng 187 0.6× 48 0.2× 76 0.6× 154 1.3× 163 1.5× 13 598
Tian Yang 206 0.7× 70 0.3× 76 0.6× 125 1.1× 165 1.5× 21 717
Yan Liu 278 0.9× 99 0.5× 25 0.2× 77 0.7× 43 0.4× 16 561
Abhishek Guha 261 0.9× 46 0.2× 28 0.2× 36 0.3× 210 1.9× 22 728
Alessandra Aloisi 289 0.9× 56 0.3× 13 0.1× 124 1.1× 24 0.2× 28 628
Gao Qingping 168 0.5× 183 0.9× 37 0.3× 207 1.8× 127 1.2× 34 609
Hideo Ida 181 0.6× 50 0.3× 23 0.2× 115 1.0× 31 0.3× 14 676
Zhengming Yan 294 1.0× 22 0.1× 22 0.2× 212 1.8× 21 0.2× 15 569
Sean M. Anderson 356 1.2× 21 0.1× 15 0.1× 54 0.5× 41 0.4× 19 703
Xiaotian Sun 516 1.7× 76 0.4× 47 0.4× 114 1.0× 133 1.2× 9 747

Countries citing papers authored by Maria A. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Maria A. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Murphy. 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 Maria A. Murphy. The network helps show where Maria A. Murphy may publish in the future.

Co-authorship network of co-authors of Maria A. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Maria A. Murphy. A scholar is included among the top collaborators of Maria A. Murphy 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 Maria A. Murphy. Maria A. Murphy 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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