Natalie J. Blades
- Molecular Biology
- Infectious Diseases top 10%
- Epidemiology
- Genetics top 10%
- Biochemistry top 5%
- Co-authors
- Gary A. ChurchillXiangqin CuiJ. T. Gene HwangJing QiuKarl W. BromanWilliam R. BishaiJ GrossetGyanu Lamichhane
- Topics
- Genomics and Phylogenetic Studies (3 papers)Advanced Statistical Process Monitoring (2 papers)Cancer Cells and Metastasis (2 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Statistical Association
- Partner nations
- United States
In The Last Decade
Natalie J. Blades
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 588
- Infectious Diseases 229
- Epidemiology 221
- Genetics 185
- Biochemistry 147
Countries citing papers authored by Natalie J. Blades
This map shows the geographic impact of Natalie J. Blades'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 Natalie J. Blades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie J. Blades more than expected).
Fields of papers citing papers by Natalie J. Blades
This network shows the impact of papers produced by Natalie J. Blades. 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 Natalie J. Blades. The network helps show where Natalie J. Blades may publish in the future.
Co-authorship network of co-authors of Natalie J. Blades
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie J. Blades. A scholar is included among the top collaborators of Natalie J. Blades 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 Natalie J. Blades. Natalie J. Blades is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 82 | |
| 4 | 6 | |
| 5 | Spatial control charts for the mean | 1 |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 52 | |
| 9 | 37 | |
| 10 | 400 | |
| 11 | 18 | |
| 12 | 280 | |
| 13 | 12 | |
| 14 | Estimating the number of essential genes in a genome by random transposon mutagenesis | 7 |
| 15 | 53 | |
| 16 | Relationships and differentially expressed genes among pancreatic cancers examined by large-scale serial analysis of gene expression. | 130 |
| 17 | 178 |
About Natalie J. Blades
Natalie J. Blades is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Advanced Statistical Process Monitoring (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biochemistry (147 citations), Management of Technology and Innovation (119 citations) and Infectious Diseases (229 citations). Natalie J. Blades has collaborated with scholars based in United States. Frequent co-authors include Gary A. Churchill, Xiangqin Cui, J. T. Gene Hwang, Jing Qiu, Karl W. Broman, William R. Bishai, J Grosset, Gyanu Lamichhane, Matteo Zignol and Deborah E. Geiman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.
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.