Jennifer E. Liu
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Mary J. RomanJonathan N. BellaRichard B. DevereuxVittorio PalmieriElisa T. LeeRichard R. FabsitzThomas K. WeltyBarbara V. Howard
- Topics
- Chemotherapy-induced cardiotoxicity and mitigation (25 papers)Cardiovascular Function and Risk Factors (23 papers)Cardiac Imaging and Diagnostics (20 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Jennifer E. Liu
63 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 2.9k
- Radiology, Nuclear Medicine and Imaging 874
- Oncology 455
- Endocrinology, Diabetes and Metabolism 423
- Surgery 311
Countries citing papers authored by Jennifer E. Liu
This map shows the geographic impact of Jennifer E. Liu'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 E. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. Liu more than expected).
Fields of papers citing papers by Jennifer E. Liu
This network shows the impact of papers produced by Jennifer E. Liu. 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 E. Liu. The network helps show where Jennifer E. Liu may publish in the future.
Co-authorship network of co-authors of Jennifer E. Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Liu. A scholar is included among the top collaborators of Jennifer E. Liu 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 E. Liu. Jennifer E. Liu 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 | 7 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 32 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 80 | |
| 9 | 34 | |
| 10 | 20 | |
| 11 | 39 | |
| 12 | 38 | |
| 13 | 16 | |
| 14 | 29 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 112 | |
| 18 | 3 | |
| 19 | 257 | |
| 20 | 94 |
About Jennifer E. Liu
Jennifer E. Liu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 65 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (25 papers), Cardiovascular Function and Risk Factors (23 papers) and Cardiac Imaging and Diagnostics (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Radiology, Nuclear Medicine and Imaging (874 citations) and Endocrinology, Diabetes and Metabolism (423 citations). Jennifer E. Liu has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Mary J. Roman, Jonathan N. Bella, Richard B. Devereux, Vittorio Palmieri, Elisa T. Lee, Richard R. Fabsitz, Richard B. Devereux, Thomas K. Welty, Barbara V. Howard and Lyle G. Best. Their work appears in journals such as Circulation, The Journal of Experimental Medicine and Annals of Internal Medicine.
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.