Michael M. Swarbrick
- Physiology top 1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Co-authors
- Peter J. HavelKimber L. StanhopeKen K. Y. HoGraham RobertsonMaria TsoliPaul C. LeeRenate SchreiberRudolf Zechner
- Topics
- Adipose Tissue and Metabolism (23 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)Diet and metabolism studies (8 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Michael M. Swarbrick
41 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Physiology 1.8k
- Epidemiology 1.0k
- Molecular Biology 708
- Endocrinology, Diabetes and Metabolism 543
- Surgery 448
Countries citing papers authored by Michael M. Swarbrick
This map shows the geographic impact of Michael M. Swarbrick'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 Michael M. Swarbrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Swarbrick more than expected).
Fields of papers citing papers by Michael M. Swarbrick
This network shows the impact of papers produced by Michael M. Swarbrick. 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 Michael M. Swarbrick. The network helps show where Michael M. Swarbrick may publish in the future.
Co-authorship network of co-authors of Michael M. Swarbrick
This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Swarbrick. A scholar is included among the top collaborators of Michael M. Swarbrick 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 Michael M. Swarbrick. Michael M. Swarbrick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 24 | |
| 4 | 23 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 49 | |
| 8 | 32 | |
| 9 | 66 | |
| 10 | 80 | |
| 11 | A Switch from White to Brown Fat Increases Energy Expenditure in Cancer-Associated Cachexiabreakdown → | 555 |
| 12 | 101 | |
| 13 | 87 | |
| 14 | 67 | |
| 15 | 44 | |
| 16 | 204 | |
| 17 | 104 | |
| 18 | 68 | |
| 19 | 17 | |
| 20 | 101 |
About Michael M. Swarbrick
Michael M. Swarbrick is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Physiology, having authored 41 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (23 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Physiology (1.8k citations), Endocrine and Autonomic Systems (236 citations) and Endocrinology, Diabetes and Metabolism (543 citations). Michael M. Swarbrick has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Peter J. Havel, Kimber L. Stanhope, Ken K. Y. Ho, Graham Robertson, Maria Tsoli, Paul C. Lee, Renate Schreiber, Rudolf Zechner, Stefan Rose‐John and John Allen. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Endocrine Reviews.
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.