Rosemary Petric
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology top 10%
- Immunology
- Genetics
- Co-authors
- Martin L. HibberdChiea Chuen KhorDenis BertrandPauline AwGrace Hui Ting YeoNiranjan NagarajanAndreas WilmSwee Hoe Ong
- Topics
- Pharmacological Effects and Toxicity Studies (5 papers)Asthma and respiratory diseases (5 papers)Mast cells and histamine (4 papers)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Rosemary Petric
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 432
- Infectious Diseases 271
- Epidemiology 251
- Immunology 192
- Genetics 172
Countries citing papers authored by Rosemary Petric
This map shows the geographic impact of Rosemary Petric'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 Rosemary Petric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosemary Petric more than expected).
Fields of papers citing papers by Rosemary Petric
This network shows the impact of papers produced by Rosemary Petric. 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 Rosemary Petric. The network helps show where Rosemary Petric may publish in the future.
Co-authorship network of co-authors of Rosemary Petric
This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Petric. A scholar is included among the top collaborators of Rosemary Petric 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 Rosemary Petric. Rosemary Petric 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 | 8 | |
| 3 | 50 | |
| 4 | 57 | |
| 5 | 62 | |
| 6 | 10 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasetsbreakdown → | 840 |
| 10 | 78 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | Amelioration of experimental cyclosporine nephrotoxicity by calcium channel inhibition. | 5 |
| 15 | 19 | |
| 16 | 40 | |
| 17 | 38 | |
| 18 | Nephrotoxicity of cyclosporine in spontaneously hypertensive rats: effects on blood pressure and vascular lesions. | 33 |
About Rosemary Petric
Rosemary Petric is a scholar working on Transplantation, Hepatology and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (5 papers), Asthma and respiratory diseases (5 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Transplantation (52 citations), Infectious Diseases (271 citations) and Hepatology (109 citations). Rosemary Petric has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Martin L. Hibberd, Chiea Chuen Khor, Denis Bertrand, Pauline Aw, Grace Hui Ting Yeo, Niranjan Nagarajan, Andreas Wilm, Swee Hoe Ong, Anthony W. Ford‐Hutchinson and John W. McDonald. Their work appears in journals such as Nucleic Acids Research, Kidney International and Antimicrobial Agents and Chemotherapy.
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.