Monnie McGee
- Co-authors
- Robert A. YaffeeZhongxue ChenRichard H. ScheuermannNora V. BergasaQingzhong LiuDanielle E. EnglerIona H. GinsburgE. Scott Sills
- Topics
- Gene expression and cancer classification (8 papers)Fractal and DNA sequence analysis (6 papers)Machine Learning in Bioinformatics (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Monnie McGee
31 papers receiving 796 citations
Peers
Comparison fields: 5 of 163
- Molecular Biology 205
- Epidemiology 89
- Surgery 80
- Dermatology 70
- Immunology 68
Countries citing papers authored by Monnie McGee
This map shows the geographic impact of Monnie McGee'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 Monnie McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monnie McGee more than expected).
Fields of papers citing papers by Monnie McGee
This network shows the impact of papers produced by Monnie McGee. 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 Monnie McGee. The network helps show where Monnie McGee may publish in the future.
Co-authorship network of co-authors of Monnie McGee
This figure shows the co-authorship network connecting the top 25 collaborators of Monnie McGee. A scholar is included among the top collaborators of Monnie McGee 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 Monnie McGee. Monnie McGee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | AWS EC2 Instance Spot Price Forecasting Using LSTM Networks | 5 |
| 8 | Predictions Generated from a Simulation Engine for Gene Expression Micro-arrays for use in Research Laboratories | 3 |
| 9 | 24 | |
| 10 | 31 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 23 | |
| 16 | 67 | |
| 17 | 57 | |
| 18 | 41 | |
| 19 | Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS | 301 |
| 20 | 29 |
About Monnie McGee
Monnie McGee is a scholar working on Statistics and Probability, Biophysics and Signal Processing, having authored 39 papers that have together received 847 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Fractal and DNA sequence analysis (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Dermatology (70 citations), Obstetrics and Gynecology (42 citations) and Immunology and Allergy (28 citations). Monnie McGee has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Robert A. Yaffee, Zhongxue Chen, Richard H. Scheuermann, Nora V. Bergasa, Qingzhong Liu, Danielle E. Engler, Iona H. Ginsburg, E. Scott Sills, Ephraim Sehayek and Cynthia E. Seidman. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.
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.