Robert F. Murphy

21.6k total citations · 4 hit papers
277 papers, 14.4k citations indexed

About

Robert F. Murphy is a scholar working on Molecular Biology, Biophysics and Media Technology. According to data from OpenAlex, Robert F. Murphy has authored 277 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Molecular Biology, 111 papers in Biophysics and 42 papers in Media Technology. Recurrent topics in Robert F. Murphy's work include Cell Image Analysis Techniques (108 papers), Image Processing Techniques and Applications (42 papers) and Machine Learning in Bioinformatics (25 papers). Robert F. Murphy is often cited by papers focused on Cell Image Analysis Techniques (108 papers), Image Processing Techniques and Applications (42 papers) and Machine Learning in Bioinformatics (25 papers). Robert F. Murphy collaborates with scholars based in United States, Germany and United Kingdom. Robert F. Murphy's co-authors include Barbara Means, Yukie Toyama, Marianne Bakia, Michael V. Boland, Meel Velliste, James Bonner, Kai Huang, R. Bruce Wallace, Mario Roederer and Frank M. Balis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Robert F. Murphy

268 papers receiving 13.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies

2009 2.2k citations Robert F. Murphy et al. profile →
The Effectiveness of Online and Blended Learning: A Meta-Analysis of the Empirical Literature

2013 842 citations Robert F. Murphy et al. profile →
Hybridization of synthetic oligodeoxyribonucleotides to Φ_X174 DNA: the effect of single base pair mismatch

1979 601 citations Robert F. Murphy et al. profile →
Convention on nomenclature for DNA cytometry

1984 538 citations Robert F. Murphy et al. profile →

Author Peers

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

Author						Papers	Cites
Robert F. Murphy	5.5k	3.0k	2.5k	1.3k	928	277	14.4k
J. Paul Robinson	3.1k 0.6×	1.0k 0.4×	170 0.1×	179 0.1×	754 0.8×	249	10.6k
Richard E. Clark	2.9k 0.5×	27 0.0×	7.7k 3.1×	619 0.5×	321 0.3×	554	31.0k
Helen Cooper	2.8k 0.5×	50 0.0×	5.4k 2.2×	74 0.1×	922 1.0×	292	24.4k
Anders Berglund	1.9k 0.4×	111 0.0×	267 0.1×	190 0.1×	84 0.1×	341	9.4k
Jason W. Osborne	716 0.1×	90 0.0×	2.3k 0.9×	146 0.1×	177 0.2×	245	14.2k
David N. Perkins	5.0k 0.9×	22 0.0×	3.7k 1.5×	216 0.2×	483 0.5×	96	14.0k
Chris Roberts	4.8k 0.9×	89 0.0×	1.6k 0.6×	45 0.0×	269 0.3×	214	15.7k
James Larkin	12.9k 2.3×	170 0.1×	642 0.3×	69 0.1×	1.0k 1.1×	662	34.1k
Renaud Lambiotte	2.9k 0.5×	212 0.1×	115 0.0×	82 0.1×	76 0.1×	150	19.6k
Michelle K. Smith	1.1k 0.2×	29 0.0×	5.8k 2.3×	1.7k 1.3×	127 0.1×	88	9.2k

Countries citing papers authored by Robert F. Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Robert F. Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert F. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Murphy. A scholar is included among the top collaborators of Robert F. 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 Robert F. Murphy. Robert F. 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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20 of 20 papers shown

Hoffman, Justin, et al.. (2024). Image-based discrimination of the early stages of mesenchymal stem cell differentiation. Molecular Biology of the Cell. 35(8). ar103–ar103. 3 indexed citations

Li, Jiayi, et al.. (2024). Expanding the coverage of spatial proteomics: a machine learning approach. Bioinformatics. 40(2). 2 indexed citations

Schaff, James C., Anuradha Lakshminarayana, Robert F. Murphy, et al.. (2023). SBML level 3 package: spatial processes, version 1, release 1. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 2 indexed citations

Pearson, Chad G., et al.. (2023). Basal body organization and cell geometry during the cell cycle in Tetrahymena thermophila. Molecular Biology of the Cell. 34(6). ar53–ar53. 1 indexed citations

Simonetti, Boris, Po‐Han Chou, Stephen Cross, et al.. (2023). Five Inhibitory Receptors Display Distinct Vesicular Distributions in Murine T Cells. Cells. 12(21). 2558–2558. 3 indexed citations

Murphy, Robert F., et al.. (2022). Improving and evaluating deep learning models of cellular organization. Bioinformatics. 38(23). 5299–5306. 6 indexed citations

Murphy, Robert F., et al.. (2021). Evaluation of categorical matrix completion algorithms: toward improved active learning for drug discovery. Bioinformatics. 37(20). 3538–3545. 3 indexed citations

Barfield, William R., et al.. (2020). The Role of Obesity on Cast Index and Secondary Intervention in Pediatric Forearm Fractures. 1(1). 1 indexed citations

Ambler, Rachel, Alan J. Hedges, Simon J. Dovedi, et al.. (2020). PD-1 suppresses the maintenance of cell couples between cytotoxic T cells and target tumor cells within the tumor. Science Signaling. 13(649). 10 indexed citations

10.

Xu, Yingying, Hang Zhou, Robert F. Murphy, & Hong‐Bin Shen. (2020). Consistency and variation of protein subcellular location annotations. Proteins Structure Function and Bioinformatics. 89(2). 242–250. 10 indexed citations

11.

Majarian, Timothy D., Robert F. Murphy, & Seema S. Lakdawala. (2019). Learning the sequence of influenza A genome assembly during viral replication using point process models and fluorescence in situ hybridization. PLoS Computational Biology. 15(1). e1006199–e1006199. 10 indexed citations

12.

Alibhai, Dominic, Kentner L. Singleton, Alan J. Hedges, et al.. (2019). Transient protein accumulation at the center of the T cell antigen-presenting cell interface drives efficient IL-2 secretion. eLife. 8. 4 indexed citations

13.

Xu, Yingying, Hong‐Bin Shen, & Robert F. Murphy. (2019). Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images. Bioinformatics. 36(6). 1908–1914. 14 indexed citations

14.

Murphy, Robert F., et al.. (2018). Evaluation of methods for generative modeling of cell and nuclear shape. Bioinformatics. 35(14). 2475–2485. 28 indexed citations

15.

Diedrich, Britta, Kristoffer Rigbolt, Michael Röring, et al.. (2017). Discrete cytosolic macromolecular BRAF complexes exhibit distinct activities and composition. The EMBO Journal. 36(5). 646–663. 47 indexed citations

16.

Kangas, Joshua, et al.. (2016). Active machine learning-driven experimentation to determine compound effects on protein patterns. eLife. 5. e10047–e10047. 33 indexed citations

17.

Li, Jieyue, et al.. (2012). Toward the virtual cell: Automated approaches to building models of subcellular organization “learned” from microscopy images. BioEssays. 34(9). 791–799. 23 indexed citations

18.

Peng, Tao, et al.. (2010). Determining the distribution of probes between different subcellular locations through automated unmixing of subcellular patterns. Proceedings of the National Academy of Sciences. 107(7). 2944–2949. 31 indexed citations

19.

Ahmed, Amr, Andrew O. Arnold, Luís Pedro Coelho, et al.. (2010). Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature. SSRN Electronic Journal. 3 indexed citations

20.

Brabec, Marianne, Daniela Schober, Ernst Wagner, et al.. (2004). Opening of Size-Selective Pores in Endosomes during Human Rhinovirus Serotype 2 In Vivo Uncoating Monitored by Single-Organelle Flow Analysis. Journal of Virology. 79(2). 1008–1016. 46 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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