Danielle Kamato
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Cell Adhesion Molecules Research 15
- Immunology 14
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
- Co-authors
- Peter J. LittleSuowen XuNarin OsmanWenhua ZhengIqra IlyasJianping WengXueying ZhengSihui Luo
- Journals
- Journal of Pharmacy and Pharmacology (7 papers)Cellular Signalling (5 papers)Cellular and Molecular Life Sciences (4 papers)Pharmacology & Therapeutics (4 papers)Journal of Cell Communication and Signaling (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Danielle Kamato
67 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology and Allergy 196
- Immunology 568
- Endocrinology, Diabetes and Metabolism 437
- Cancer Research 314
- Molecular Biology 1.4k
Countries citing papers authored by Danielle Kamato
This map shows the geographic impact of Danielle Kamato'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 Danielle Kamato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Kamato more than expected).
Fields of papers citing papers by Danielle Kamato
This network shows the impact of papers produced by Danielle Kamato. 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 Danielle Kamato. The network helps show where Danielle Kamato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle Kamato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 40 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 57 | |
| 7 | GLP-1 receptor agonists (GLP-1RAs): cardiovascular actions and therapeutic potential Hit paper breakdown → | 2021 | 188 |
| 8 | Endothelial Dysfunction in Atherosclerotic Cardiovascular Diseases and Beyond: From Mechanism to Pharmacotherapies Hit paper breakdown → | 2021 | 686 |
| 9 | 2020 | 14 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 40 | |
| 13 | 2019 | 40 | |
| 14 | 2018 | 54 | |
| 15 | 2018 | 31 | |
| 16 | 2018 | 25 | |
| 17 | 2018 | 19 | |
| 18 | 2017 | 56 | |
| 19 | 2016 | 4 | |
| 20 | 2015 | 38 |
About Danielle Kamato
Danielle Kamato is a scholar working on Immunology and Allergy, Immunology, Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (17 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Cell Adhesion Molecules Research (15 papers), Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Immunology and Allergy (196 citations), Immunology (568 citations), Endocrinology, Diabetes and Metabolism (437 citations), Cancer Research (314 citations) and Molecular Biology (1.4k citations). Danielle Kamato has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Peter J. Little, Suowen Xu, Narin Osman, Wenhua Zheng, Iqra Ilyas, Jianping Weng, Xueying Zheng, Sihui Luo, Hossein Babaahmadi‐Rezaei and Hang T. Ta. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Cellular Signalling, Cellular and Molecular Life Sciences, Pharmacology & Therapeutics and Journal of Cell Communication and Signaling.
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.