Natasha S. Murphy

18 total papers · 1.0k total citations
10 papers, 842 citations indexed

About

Natasha S. Murphy is a scholar working on Organic Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, Natasha S. Murphy has authored 10 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 6 papers in Molecular Biology and 2 papers in Spectroscopy. Recurrent topics in Natasha S. Murphy's work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (5 papers) and Analytical Chemistry and Chromatography (2 papers). Natasha S. Murphy is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (5 papers) and Analytical Chemistry and Chromatography (2 papers). Natasha S. Murphy collaborates with scholars based in United Kingdom, United States and Switzerland. Natasha S. Murphy's co-authors include Andrew J. Wilson, V. Azzarito, Kérya Long, Michael J. Burns, Rocío López‐Rodríguez, Martin A. Ott, C.A. Kilner, Panchami Prabhakaran, Thomas A. Edwards and Michaele J. Hardie and has published in prestigious journals such as Macromolecules, Nature Chemistry and Chemistry - A European Journal.

In The Last Decade

Natasha S. Murphy

10 papers receiving 828 citations

Hit Papers

Inhibition of α-helix-med... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Natasha S. Murphy 650 379 91 82 72 10 842
Daniel H. O’Donovan 447 0.7× 299 0.8× 136 1.5× 48 0.6× 67 0.9× 27 817
Anders D. Nielsen 530 0.8× 107 0.3× 55 0.6× 87 1.1× 139 1.9× 18 728
Inho Choi 584 0.9× 139 0.4× 265 2.9× 76 0.9× 35 0.5× 10 847
Atiyatul Qadeer 609 0.9× 127 0.3× 139 1.5× 73 0.9× 29 0.4× 15 836
Amar B. T. Ghisaidoobe 525 0.8× 190 0.5× 68 0.7× 53 0.6× 39 0.5× 11 867
Michael V. Darby 333 0.5× 147 0.4× 39 0.4× 131 1.6× 142 2.0× 18 790
Anupam Patgiri 706 1.1× 246 0.6× 119 1.3× 46 0.6× 56 0.8× 11 828
Enguerran Vanquelef 541 0.8× 191 0.5× 58 0.6× 35 0.4× 44 0.6× 9 829
Philip A. Cruickshank 416 0.6× 366 1.0× 44 0.5× 44 0.5× 18 0.3× 21 822
Mauro Lo Conte 632 1.0× 417 1.1× 71 0.8× 24 0.3× 52 0.7× 14 936

Countries citing papers authored by Natasha S. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Natasha S. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha S. Murphy

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