Jennifer Connelly
- Genetics top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Kathleen M. SchmaindaMark G. MalkinScott D. RandWade M. MuellerPeter S. LaVioletteBenjamin M. EllingsonPete LaVioletteMelissa Prah
- Topics
- Glioma Diagnosis and Treatment (42 papers)MRI in cancer diagnosis (16 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
Jennifer Connelly
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Genetics 712
- Radiology, Nuclear Medicine and Imaging 681
- Pulmonary and Respiratory Medicine 278
- Biomedical Engineering 207
- Molecular Biology 204
Countries citing papers authored by Jennifer Connelly
This map shows the geographic impact of Jennifer Connelly'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 Jennifer Connelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Connelly more than expected).
Fields of papers citing papers by Jennifer Connelly
This network shows the impact of papers produced by Jennifer Connelly. 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 Jennifer Connelly. The network helps show where Jennifer Connelly may publish in the future.
Co-authorship network of co-authors of Jennifer Connelly
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Connelly. A scholar is included among the top collaborators of Jennifer Connelly 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 Jennifer Connelly. Jennifer Connelly 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 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 33 | |
| 12 | 27 | |
| 13 | 25 | |
| 14 | Transcendence in Older Adults: A Review of Recent Literature | 1 |
| 15 | 32 | |
| 16 | 56 | |
| 17 | 61 | |
| 18 | 214 | |
| 19 | 37 | |
| 20 | 55 |
About Jennifer Connelly
Jennifer Connelly is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neuropsychology and Physiological Psychology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (42 papers), MRI in cancer diagnosis (16 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). The work is most often cited by research in Genetics (712 citations), Radiology, Nuclear Medicine and Imaging (681 citations) and Cancer Research (147 citations). Jennifer Connelly has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Kathleen M. Schmainda, Mark G. Malkin, Scott D. Rand, Wade M. Mueller, Peter S. LaViolette, Benjamin M. Ellingson, Pete LaViolette, Melissa Prah, D. Bedekar and Carolyn Quinsey. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
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.