Phillipa J. Lamont
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Clinical Biochemistry top 2%
- Genetics top 5%
- Co-authors
- Nigel G. LaingMark R. DavisGianina RavenscroftIsabelle NelsonDouglass M. TurnbullRobert W. TaylorFrank MastagliaNicholas Wood
- Topics
- Muscle Physiology and Disorders (21 papers)Cardiomyopathy and Myosin Studies (19 papers)Mitochondrial Function and Pathology (11 papers)
- Journals
- BrainNeurologyPEDIATRICS
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Phillipa J. Lamont
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 366
- Cardiology and Cardiovascular Medicine 354
- Clinical Biochemistry 197
- Genetics 173
Countries citing papers authored by Phillipa J. Lamont
This map shows the geographic impact of Phillipa J. Lamont'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 Phillipa J. Lamont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillipa J. Lamont more than expected).
Fields of papers citing papers by Phillipa J. Lamont
This network shows the impact of papers produced by Phillipa J. Lamont. 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 Phillipa J. Lamont. The network helps show where Phillipa J. Lamont may publish in the future.
Co-authorship network of co-authors of Phillipa J. Lamont
This figure shows the co-authorship network connecting the top 25 collaborators of Phillipa J. Lamont. A scholar is included among the top collaborators of Phillipa J. Lamont 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 Phillipa J. Lamont. Phillipa J. Lamont 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 | 7 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | 82 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 15 | |
| 14 | 54 | |
| 15 | 41 | |
| 16 | 17 | |
| 17 | 20 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 3 |
About Phillipa J. Lamont
Phillipa J. Lamont is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Cardiomyopathy and Myosin Studies (19 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Clinical Biochemistry (197 citations), Cellular and Molecular Neuroscience (366 citations) and Genetics (173 citations). Phillipa J. Lamont has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nigel G. Laing, Mark R. Davis, Gianina Ravenscroft, Isabelle Nelson, Douglass M. Turnbull, Robert W. Taylor, Frank Mastaglia, Nicholas Wood, Macarena Cabrera‐Serrano and Vicki Fabian. Their work appears in journals such as Brain, Neurology and PEDIATRICS.
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.