Michael B. Mayhew
Impact in
Papers in
-
- Gene Regulatory Network Analysis 4
- Fungal and yeast genetics research 3
- Bioinformatics and Genomic Networks 2
-
- Machine Learning in Healthcare 3
- Co-authors
- Steven B. Haase (4 shared papers)Alexander J. Hartemink (3 shared papers)Daniel Keifenheim (1 shared paper)Nick Rhind (1 shared paper)Uwe Ohler (1 shared paper)Samuel Marguerat (1 shared paper)Ljubomir Buturović (4 shared papers)Roland Luethy (4 shared papers)
- Journals
- Molecular Cell (2 papers)European Journal of Emergency Medicine (1 paper)BMC Genomics (1 paper)Current Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael B. Mayhew
16 papers receiving 333 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 5
- Clinical Biochemistry 21
- Molecular Biology 209
- Critical Care and Intensive Care Medicine 13
- Cell Biology 38
Countries citing papers authored by Michael B. Mayhew
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
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-authors
The 25 scholars most cited alongside Michael B. Mayhew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2017 | 65 | |
| 3 | 2012 | 53 | |
| 4 | 2011 | 24 | |
| 5 | 2017 | 22 | |
| 6 | 2009 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2022 | 16 | |
| 9 | 2011 | 14 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2012 | 6 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2013 | 2 |
About Michael B. Mayhew
Michael B. Mayhew is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Computer Vision and Pattern Recognition and Clinical Biochemistry, having authored 16 papers that have together received 343 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Fungal and yeast genetics research (3 papers), Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Microtubule and mitosis dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Health Informatics (5 citations), Clinical Biochemistry (21 citations), Molecular Biology (209 citations), Critical Care and Intensive Care Medicine (13 citations) and Cell Biology (38 citations). Michael B. Mayhew has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Steven B. Haase, Alexander J. Hartemink, Daniel Keifenheim, Nick Rhind, Uwe Ohler, Samuel Marguerat, Ljubomir Buturović, Roland Luethy, Qingyun Li and Timothy E. Sweeney. Their work appears in journals such as Molecular Cell, European Journal of Emergency Medicine, BMC Genomics, Current Biology and Nature Communications.
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.