Justine J. Cunningham
- Molecular Biology top 5%
- Surgery top 2%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Olivia KellyEmmanuel E. BaetgeAlan D. AgulnickHolly YoungNora G. SmartAnne G. BangSusan EliazerKevin A. D’Amour
- Topics
- Cancer-related Molecular Pathways (4 papers)Pluripotent Stem Cells Research (2 papers)RNA Interference and Gene Delivery (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNature BiotechnologyThe Journal of Comparative Neurology
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Justine J. Cunningham
13 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 1.4k
- Surgery 1.2k
- Genetics 653
- Endocrinology, Diabetes and Metabolism 390
- Cellular and Molecular Neuroscience 261
Countries citing papers authored by Justine J. Cunningham
This map shows the geographic impact of Justine J. Cunningham'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 Justine J. Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justine J. Cunningham more than expected).
Fields of papers citing papers by Justine J. Cunningham
This network shows the impact of papers produced by Justine J. Cunningham. 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 Justine J. Cunningham. The network helps show where Justine J. Cunningham may publish in the future.
Co-authorship network of co-authors of Justine J. Cunningham
This figure shows the co-authorship network connecting the top 25 collaborators of Justine J. Cunningham. A scholar is included among the top collaborators of Justine J. Cunningham 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 Justine J. Cunningham. Justine J. Cunningham 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 | 34 | |
| 3 | 1 | |
| 4 | 140 | |
| 5 | Pancreatic endoderm derived from human embryonic stem cells generates glucose-responsive insulin-secreting cells in vivobreakdown → | 1346 |
| 6 | 117 | |
| 7 | 125 | |
| 8 | 64 | |
| 9 | 96 | |
| 10 | Cyclin-dependent kinase inhibitors in the development of the central nervous system. | 69 |
| 11 | 14 | |
| 12 | 145 | |
| 13 | 17 |
About Justine J. Cunningham
Justine J. Cunningham is a scholar working on Aging, Developmental Neuroscience and Ophthalmology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Pluripotent Stem Cells Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (136 citations), Surgery (1.2k citations) and Endocrinology, Diabetes and Metabolism (390 citations). Justine J. Cunningham has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Olivia Kelly, Emmanuel E. Baetge, Alan D. Agulnick, Holly Young, Nora G. Smart, Anne G. Bang, Susan Eliazer, Kevin A. D’Amour, Laura A. Martinson and Melissa K. Carpenter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Journal of Comparative Neurology.
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.