Stephanie A. Monks
- Genetics top 1%
- Molecular Biology top 5%
- Surgery
- Plant Science top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Eric E. SchadtEden R. MartinNorman KaplanLiling WarrenStephen FriendStephen B. MilliganGuy CavetThomas G. Ruff
- Topics
- Genetic Associations and Epidemiology (8 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)Bioinformatics and Genomic Networks (3 papers)
- Partner nations
- United StatesUnited KingdomKenya
In The Last Decade
Stephanie A. Monks
19 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Genetics 1.4k
- Molecular Biology 1.3k
- Surgery 265
- Plant Science 251
- Endocrinology, Diabetes and Metabolism 197
Countries citing papers authored by Stephanie A. Monks
This map shows the geographic impact of Stephanie A. Monks'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 Stephanie A. Monks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie A. Monks more than expected).
Fields of papers citing papers by Stephanie A. Monks
This network shows the impact of papers produced by Stephanie A. Monks. 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 Stephanie A. Monks. The network helps show where Stephanie A. Monks may publish in the future.
Co-authorship network of co-authors of Stephanie A. Monks
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie A. Monks. A scholar is included among the top collaborators of Stephanie A. Monks 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 Stephanie A. Monks. Stephanie A. Monks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 21 | |
| 3 | 78 | |
| 4 | 36 | |
| 5 | 7 | |
| 6 | 27 | |
| 7 | 103 | |
| 8 | 5 | |
| 9 | 279 | |
| 10 | 27 | |
| 11 | Genetics of gene expression surveyed in maize, mouse and manbreakdown → | 1105 |
| 12 | 47 | |
| 13 | 123 | |
| 14 | 435 | |
| 15 | 90 | |
| 16 | 118 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 33 |
About Stephanie A. Monks
Stephanie A. Monks is a scholar working on Genetics, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Genetics (1.4k citations), Molecular Biology (1.3k citations) and Endocrinology, Diabetes and Metabolism (197 citations). Stephanie A. Monks has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Eric E. Schadt, Eden R. Martin, Norman Kaplan, Liling Warren, Stephen Friend, Stephen B. Milligan, Guy Cavet, Thomas G. Ruff, Aldons J. Lusis and Mao Mao. Their work appears in journals such as Nature, Diabetes Care and American Journal of Epidemiology.
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.