Philip J. Lowry
- Behavioral Neuroscience top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Social Psychology top 0.5%
- Co-authors
- Elizabeth A. LintonC. McLeanVicky Clement‐JonesGlenda E. GilliesP SalacinskiJane E. SykesDominic P. BehanE Potter
- Topics
- Stress Responses and Cortisol (55 papers)Adrenal Hormones and Disorders (41 papers)Neuropeptides and Animal Physiology (34 papers)
- Partner nations
- United KingdomUnited StatesArgentina
In The Last Decade
Philip J. Lowry
138 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Behavioral Neuroscience 3.1k
- Endocrinology, Diabetes and Metabolism 2.2k
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.8k
- Social Psychology 1.5k
Countries citing papers authored by Philip J. Lowry
This map shows the geographic impact of Philip J. Lowry'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 J. Lowry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Lowry more than expected).
Fields of papers citing papers by Philip J. Lowry
This network shows the impact of papers produced by Philip J. Lowry. 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 J. Lowry. The network helps show where Philip J. Lowry may publish in the future.
Co-authorship network of co-authors of Philip J. Lowry
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Lowry. A scholar is included among the top collaborators of Philip J. Lowry 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 J. Lowry. Philip J. Lowry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 6 | |
| 3 | 24 | |
| 4 | 31 | |
| 5 | 24 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 31 | |
| 17 | Novel two-step purification of human prolactin. | 1 |
| 18 | 31 | |
| 19 | 32 | |
| 20 | 13 |
About Philip J. Lowry
Philip J. Lowry is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 139 papers that have together received 7.8k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (55 papers), Adrenal Hormones and Disorders (41 papers) and Neuropeptides and Animal Physiology (34 papers). The work is most often cited by research in Behavioral Neuroscience (3.1k citations), Biological Psychiatry (399 citations) and Endocrine and Autonomic Systems (1.1k citations). Philip J. Lowry has collaborated with scholars based in United Kingdom, United States and Argentina. Frequent co-authors include Elizabeth A. Linton, C. McLean, Vicky Clement‐Jones, Glenda E. Gillies, P Salacinski, Jane E. Sykes, Dominic P. Behan, E Potter, Lesley Rees and G. M. Besser. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.