Julie Dyall
About
In The Last Decade
Julie Dyall
28 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 1.0k
- Molecular Biology 552
- Epidemiology 407
- Immunology 310
- Computational Theory and Mathematics 223
Countries citing papers authored by Julie Dyall
This map shows the geographic impact of Julie Dyall'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 Julie Dyall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Dyall more than expected).
Fields of papers citing papers by Julie Dyall
This network shows the impact of papers produced by Julie Dyall. 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 Julie Dyall. The network helps show where Julie Dyall may publish in the future.
Co-authorship network of co-authors of Julie Dyall
This figure shows the co-authorship network connecting the top 25 collaborators of Julie Dyall. A scholar is included among the top collaborators of Julie Dyall 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 Julie Dyall. Julie Dyall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 14 | |
| 3 | 21 | |
| 4 | 22 | |
| 5 | 34 | |
| 6 | 13 | |
| 7 | 17 | |
| 8 | 32 | |
| 9 | 80 | |
| 10 | 141 | |
| 11 | 12 | |
| 12 | 36 | |
| 13 | Antiviral Potential of ERK/MAPK and PI3K/AKT/mTOR Signaling Modulation for Middle East Respiratory Syndrome Coronavirus Infection as Identified by Temporal Kinome Analysis breakdown → | 307 |
| 14 | 2 | |
| 15 | 28 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 33 | |
| 19 | 69 | |
| 20 | 86 |
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.