Michael Murphy

537 total citations
10 papers, 363 citations indexed

About

Michael Murphy is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Michael Murphy has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Atmospheric Science. Recurrent topics in Michael Murphy's work include Atmospheric chemistry and aerosols (4 papers), Air Quality and Health Impacts (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Michael Murphy is often cited by papers focused on Atmospheric chemistry and aerosols (4 papers), Air Quality and Health Impacts (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Michael Murphy collaborates with scholars based in United States, Canada and Ireland. Michael Murphy's co-authors include George G. Glenner, Robert M. Healy, Greg J. Evans, John Wenger, Ian O’Connor, E. McGillicuddy, John R. Sodeau, E. Jaroudi, Jonathan P. D. Abbatt and Alex K. Y. Lee and has published in prestigious journals such as Bioinformatics, Scientific Reports and Atmospheric chemistry and physics.

In The Last Decade

Michael Murphy

9 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Murphy United States	8	208	161	99	95	59	10	363
Jinfeng Yuan China	15	158 0.8×	135 0.8×	63 0.6×	200 2.1×	30 0.5×	33	550
Shuiqiao Liu China	10	125 0.6×	109 0.7×	40 0.4×	107 1.1×	16 0.3×	17	398
Xiangchen Kong China	13	68 0.3×	54 0.3×	33 0.3×	161 1.7×	52 0.9×	29	380
Daniel R. Stroik United States	6	203 1.0×	131 0.8×	53 0.5×	138 1.5×	4 0.1×	7	384
J. Auld Canada	9	160 0.8×	109 0.7×	53 0.5×	61 0.6×	11 0.2×	11	312
Yunhee Kim United States	7	50 0.2×	191 1.2×	28 0.3×	70 0.7×	26 0.4×	13	374
Kelley T. Patten United States	11	49 0.2×	123 0.8×	32 0.3×	71 0.7×	24 0.4×	16	335
H. L. Rogers United Kingdom	10	134 0.6×	69 0.4×	215 2.2×	144 1.5×	118 2.0×	20	525
Thomas Franze Germany	5	134 0.6×	174 1.1×	40 0.4×	18 0.2×	61 1.0×	7	323

Countries citing papers authored by Michael Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Michael Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Murphy. A scholar is included among the top collaborators of Michael 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 Michael Murphy. Michael 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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10 of 10 papers shown

Fernández, Gabriela Veiga, et al.. (2024). Clinical Validation of Non-invasive Simulation-Based Determination of Vascular Impedance, Wave Intensity, and Hydraulic Work in Patients Undergoing Transcatheter Aortic Valve Replacement. Annals of Biomedical Engineering. 53(2). 536–546.

Ali, Ahmed, Shawn M. Davidson, Ernest Fraenkel, et al.. (2022). Single cell metabolism: current and future trends. Metabolomics. 18(10). 77–77. 32 indexed citations

Murphy, Michael, Stefanie Jegelka, & Ernest Fraenkel. (2022). Self-supervised learning of cell type specificity from immunohistochemical images. Bioinformatics. 38(Supplement_1). i395–i403. 5 indexed citations

Evans, Ethan D., Claire Duvallet, Nathaniel D. Chu, et al.. (2020). Predicting human health from biofluid-based metabolomics using machine learning. Scientific Reports. 10(1). 17635–17635. 22 indexed citations

Sarkar, Souvarish, Michael Murphy, Eric B. Dammer, et al.. (2020). Comparative proteomic analysis highlights metabolic dysfunction in α-synucleinopathy. npj Parkinson s Disease. 6(1). 40–40. 19 indexed citations

Healy, Robert M., Cheol–Heon Jeong, Alex K. Y. Lee, et al.. (2015). Light‐absorbing properties of ambient black carbon and brown carbon from fossil fuel and biomass burning sources. Journal of Geophysical Research Atmospheres. 120(13). 6619–6633. 104 indexed citations

Healy, Robert M., Nicole Riemer, John Wenger, et al.. (2014). Single particle diversity and mixing state measurements. Atmospheric chemistry and physics. 14(12). 6289–6299. 53 indexed citations

Healy, Robert M., Greg J. Evans, Michael Murphy, et al.. (2014). Single-particle speciation of alkylamines in ambient aerosol at five European sites. Analytical and Bioanalytical Chemistry. 407(20). 5899–5909. 43 indexed citations

Healy, Robert M., Greg J. Evans, Michael Murphy, et al.. (2014). Predicting hygroscopic growth using single particle chemical composition estimates. Journal of Geophysical Research Atmospheres. 119(15). 9567–9577. 18 indexed citations

10.

Glenner, George G. & Michael Murphy. (1989). Amyloidosis of the nervous system. Journal of the Neurological Sciences. 94(1-3). 1–28. 67 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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