Philip W. Sheard
- Molecular Biology top 10%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Co-authors
- J B FarmerMarilyn J. DuxsonJ. AugsteinMichael P. MurphyGary C. SchoenwolfAJ HarrisA.M.J.N. BlairYau‐Huei Wei
- Topics
- Muscle Physiology and Disorders (20 papers)Nerve injury and regeneration (10 papers)Muscle activation and electromyography studies (6 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Philip W. Sheard
66 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.2k
- Physiology 800
- Cellular and Molecular Neuroscience 370
- Pulmonary and Respiratory Medicine 304
- Immunology 242
Countries citing papers authored by Philip W. Sheard
This map shows the geographic impact of Philip W. Sheard'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 Philip W. Sheard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip W. Sheard more than expected).
Fields of papers citing papers by Philip W. Sheard
This network shows the impact of papers produced by Philip W. Sheard. 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 Philip W. Sheard. The network helps show where Philip W. Sheard may publish in the future.
Co-authorship network of co-authors of Philip W. Sheard
This figure shows the co-authorship network connecting the top 25 collaborators of Philip W. Sheard. A scholar is included among the top collaborators of Philip W. Sheard 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 Philip W. Sheard. Philip W. Sheard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | Fibre types of human suboccipital muscles | 4 |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 45 | |
| 7 | 33 | |
| 8 | 36 | |
| 9 | 81 | |
| 10 | 24 | |
| 11 | 21 | |
| 12 | 18 | |
| 13 | 83 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 38 | |
| 17 | 2 | |
| 18 | 93 | |
| 19 | Further studies on the SRS-A antagonist FPL 55712. | 46 |
| 20 | Application of an inexpensive analogue computer for the continuous determination of airways dynamic compliance and resistance. | 10 |
About Philip W. Sheard
Philip W. Sheard is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (20 papers), Nerve injury and regeneration (10 papers) and Muscle activation and electromyography studies (6 papers). The work is most often cited by research in Immunology and Allergy (234 citations), Developmental Neuroscience (141 citations) and Physiology (800 citations). Philip W. Sheard has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include J B Farmer, Marilyn J. Duxson, J. Augstein, Michael P. Murphy, Gary C. Schoenwolf, AJ Harris, A.M.J.N. Blair, Yau‐Huei Wei, Andrew M. James and Elizabeth C. Ledgerwood. Their work appears in journals such as Nature, Science 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.