Michael B. Mayhew

528 total citations
16 papers, 343 citations indexed

About

Michael B. Mayhew is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Michael B. Mayhew has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Michael B. Mayhew's work include Gene Regulatory Network Analysis (4 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Michael B. Mayhew is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Michael B. Mayhew collaborates with scholars based in United States, Canada and Germany. Michael B. Mayhew's co-authors include Steven B. Haase, Daniel Keifenheim, Nick Rhind, Alexander J. Hartemink, Uwe Ohler, Samuel Marguerat, Ljubomir Buturović, Roland Luethy, Qingyun Li and Sayan Mukherjee and has published in prestigious journals such as Nature Communications, Molecular Cell and Bioinformatics.

In The Last Decade

Michael B. Mayhew

16 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael B. Mayhew United States	11	209	69	38	37	37	16	343
Luca Rappez United States	7	325 1.6×	38 0.6×	14 0.4×	11 0.3×	41 1.1×	7	494
Joerg Schreiber Germany	10	219 1.0×	54 0.8×	15 0.4×	10 0.3×	37 1.0×	12	407
Joyeeta Dutta‐Moscato United States	8	168 0.8×	84 1.2×	31 0.8×	19 0.5×	36 1.0×	11	431
Allen Namath United States	4	446 2.1×	52 0.8×	19 0.5×	11 0.3×	52 1.4×	7	550
Dieter Galea United Kingdom	10	329 1.6×	29 0.4×	35 0.9×	18 0.5×	19 0.5×	14	482
Stefan Weiß Germany	11	154 0.7×	24 0.3×	14 0.4×	15 0.4×	68 1.8×	27	363
Yanwen Luo China	11	163 0.8×	19 0.3×	11 0.3×	49 1.3×	43 1.2×	20	420
Minji Seo South Korea	10	170 0.8×	104 1.5×	10 0.3×	50 1.4×	23 0.6×	23	481
Sangseob Leem South Korea	9	204 1.0×	43 0.6×	21 0.6×	19 0.5×	82 2.2×	23	320
Jingjing Chen China	9	146 0.7×	48 0.7×	24 0.6×	24 0.6×	24 0.6×	29	328

Countries citing papers authored by Michael B. Mayhew

Since Specialization

Citations

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

Fields of papers citing papers by Michael B. Mayhew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael B. Mayhew

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Wacker, James, Oliver Liesenfeld, Michael B. Mayhew, et al.. (2022). Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department. European Journal of Emergency Medicine. 29(5). 357–365. 16 indexed citations

Mayhew, Michael B., Ljubomir Buturović, Roland Luethy, et al.. (2020). A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections. Nature Communications. 11(1). 1177–1177. 72 indexed citations

Mayhew, Michael B., et al.. (2020). Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality. 208–219. 3 indexed citations

Mayhew, Michael B., et al.. (2020). Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization to select predictive models of acute infection and in-hospital mortality. PubMed. 26. 208–219. 3 indexed citations

Tran, Elizabeth, Michael B. Mayhew, Hyojin Kim, Piyush Karande, & Alan D. Kaplan. (2018). Facial Expression Recognition Using a Large Out-of-Context Dataset. 52–59. 3 indexed citations

Mayhew, Michael B., Edwin S. Iversen, & Alexander J. Hartemink. (2017). Characterization of dependencies between growth and division in budding yeast. Journal of The Royal Society Interface. 14(127). 20160993–20160993. 10 indexed citations

Keifenheim, Daniel, et al.. (2017). Size-Dependent Expression of the Mitotic Activator Cdc25 Suggests a Mechanism of Size Control in Fission Yeast. Current Biology. 27(10). 1491–1497.e4. 65 indexed citations

Mayhew, Michael B., et al.. (2017). Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models. Journal of Biomedical Informatics. 78. 33–42. 19 indexed citations

Grady, Sarah L., Stephanie Malfatti, Thusitha S. Gunasekera, et al.. (2017). A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes. BMC Genomics. 18(1). 334–334. 22 indexed citations

10.

Mayhew, Michael B., Barry Chen, & Karl Ni. (2016). Assessing semantic information in convolutional neural network representations of images via image annotation. 2266–2270. 11 indexed citations

11.

Mayhew, Michael B., David A. Orlando, Qingyun Li, et al.. (2013). Cyclin-Dependent Kinases Are Regulators and Effectors of Oscillations Driven by a Transcription Factor Network. Molecular Cell. 49(6). 1177–1179. 2 indexed citations

12.

Mayhew, Michael B., David A. Orlando, Qingyun Li, et al.. (2012). Cyclin-Dependent Kinases Are Regulators and Effectors of Oscillations Driven by a Transcription Factor Network. Molecular Cell. 45(5). 669–679. 53 indexed citations

13.

Mayhew, Michael B., Xin Guo, Steven B. Haase, & Alexander J. Hartemink. (2012). Close Encounters of the Collaborative Kind. Computer. 45(3). 24–30. 6 indexed citations

14.

Mayhew, Michael B., et al.. (2011). A generalized model for multi-marker analysis of cell cycle progression in synchrony experiments. Bioinformatics. 27(13). i295–i303. 14 indexed citations

15.

Mayhew, Michael B., et al.. (2011). Assessing the Utility of Thermodynamic Features for microRNA Target Prediction under Relaxed Seed and No Conservation Requirements. PLoS ONE. 6(6). e20622–e20622. 24 indexed citations

16.

Hoberman, Rose, Joana Dias, Bing Ge, et al.. (2009). A probabilistic approach for SNP discovery in high-throughput human resequencing data. Genome Research. 19(9). 1542–1552. 20 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.

Explore authors with similar magnitude of impact