Penny K. Campbell
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 10%
- Rheumatology top 2%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Co-authors
- Richard A. NormannK.E. JonesK.W. HorchRobert J. HuberKim L. BennellRana S. HinmanJessica KaszaBen Metcalf
- Topics
- Osteoarthritis Treatment and Mechanisms (27 papers)Lower Extremity Biomechanics and Pathologies (15 papers)Total Knee Arthroplasty Outcomes (11 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Penny K. Campbell
51 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 678
- Biomedical Engineering 460
- Rheumatology 425
- Cognitive Neuroscience 387
- Electrical and Electronic Engineering 290
Countries citing papers authored by Penny K. Campbell
This map shows the geographic impact of Penny K. Campbell'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 Penny K. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penny K. Campbell more than expected).
Fields of papers citing papers by Penny K. Campbell
This network shows the impact of papers produced by Penny K. Campbell. 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 Penny K. Campbell. The network helps show where Penny K. Campbell may publish in the future.
Co-authorship network of co-authors of Penny K. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Penny K. Campbell. A scholar is included among the top collaborators of Penny K. Campbell 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 Penny K. Campbell. Penny K. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 31 | |
| 11 | 39 | |
| 12 | 89 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 86 | |
| 19 | 36 | |
| 20 | Relationships between anthropometry and retrospective morbidity in poor men in Calcutta, India. | 26 |
About Penny K. Campbell
Penny K. Campbell is a scholar working on Rheumatology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (27 papers), Lower Extremity Biomechanics and Pathologies (15 papers) and Total Knee Arthroplasty Outcomes (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (678 citations), Rheumatology (425 citations) and Cognitive Neuroscience (387 citations). Penny K. Campbell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Richard A. Normann, K.E. Jones, K.W. Horch, Robert J. Huber, Kim L. Bennell, Rana S. Hinman, Jessica Kasza, Ben Metcalf, David J. Hunter and Tim V. Wrigley. Their work appears in journals such as The Lancet, Annals of Internal Medicine and PLoS ONE.
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.