Jill Tate
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Hematology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Greg WardPeter MolleeGus KoerbinPeter E. HickmanCarel PretoriusJulia M. PotterStephen M. SykesPeter F. Nixon
- Topics
- Clinical Laboratory Practices and Quality Control (7 papers)Acute Myocardial Infarction Research (6 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers)
- Partner nations
- AustraliaUnited KingdomNew Zealand
In The Last Decade
Jill Tate
30 papers receiving 874 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 259
- Radiology, Nuclear Medicine and Imaging 158
- Hematology 150
- Cardiology and Cardiovascular Medicine 148
- Physiology 136
Countries citing papers authored by Jill Tate
This map shows the geographic impact of Jill Tate'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 Jill Tate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jill Tate more than expected).
Fields of papers citing papers by Jill Tate
This network shows the impact of papers produced by Jill Tate. 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 Jill Tate. The network helps show where Jill Tate may publish in the future.
Co-authorship network of co-authors of Jill Tate
This figure shows the co-authorship network connecting the top 25 collaborators of Jill Tate. A scholar is included among the top collaborators of Jill Tate 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 Jill Tate. Jill Tate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | Recommendations for reporting and flagging of reference limits on pathology reports. | 5 |
| 6 | 39 | |
| 7 | 2 | |
| 8 | 74 | |
| 9 | 0 | |
| 10 | Survival and prognostic factors amongst Australian patients with AL amyloidosis | 1 |
| 11 | Point-of-Care Testing. | 1 |
| 12 | Quantitative serum free light chain assay--analytical issues. | 55 |
| 13 | 1 | |
| 14 | Significance of abnormal protein bands in patients with multiple myeloma following autologous stem cell transplantation. | 28 |
| 15 | Serum free light chain assay for diagnosis and monitoring of monoclonal light-chain diseases - Analytical and clinical correlations | 1 |
| 16 | 31 | |
| 17 | 20 | |
| 18 | The case for common reference intervals. | 44 |
| 19 | The reporting of cardiac troponin. | 4 |
| 20 | [Blood sulfonamides in the rabbit and guinea pig after injection of sulfamethopyrazine and its acetylated derivative]. | 0 |
About Jill Tate
Jill Tate is a scholar working on Statistics, Probability and Uncertainty, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 906 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (7 papers), Acute Myocardial Infarction Research (6 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers). The work is most often cited by research in Hematology (150 citations), Statistics, Probability and Uncertainty (67 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). Jill Tate has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Greg Ward, Peter Mollee, Gus Koerbin, Peter E. Hickman, Carel Pretorius, Julia M. Potter, Stephen M. Sykes, Peter F. Nixon, Nicholas Glasgow and Jacobus Ungerer. Their work appears in journals such as Blood, Journal of the American College of Cardiology and Clinical Chemistry.
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.