Julia C. Buckingham
- Molecular Biology top 5%
- Immunology top 2%
- Behavioral Neuroscience top 0.2%
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Roderick J. FlowerJ. R. HodgesJohn F. MorrisHelen ChristianEgle SolitoMauro PerrettiBridget I. BakerRobert Hannon
- Topics
- Stress Responses and Cortisol (34 papers)S100 Proteins and Annexins (28 papers)Adrenal Hormones and Disorders (16 papers)
- Journals
- The Journal of ImmunologyThe Journal of Clinical Endocrinology & MetabolismThe Journal of Physiology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Julia C. Buckingham
96 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.9k
- Immunology 1.1k
- Behavioral Neuroscience 1.1k
- Endocrinology, Diabetes and Metabolism 603
- Cellular and Molecular Neuroscience 543
Countries citing papers authored by Julia C. Buckingham
This map shows the geographic impact of Julia C. Buckingham'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 Julia C. Buckingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia C. Buckingham more than expected).
Fields of papers citing papers by Julia C. Buckingham
This network shows the impact of papers produced by Julia C. Buckingham. 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 Julia C. Buckingham. The network helps show where Julia C. Buckingham may publish in the future.
Co-authorship network of co-authors of Julia C. Buckingham
This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. Buckingham. A scholar is included among the top collaborators of Julia C. Buckingham 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 Julia C. Buckingham. Julia C. Buckingham 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 | 11 | |
| 3 | 1 | |
| 4 | 48 | |
| 5 | 257 | |
| 6 | 70 | |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 36 | |
| 13 | 17 | |
| 14 | Stress, stress hormones and the immune system | 45 |
| 15 | 90 | |
| 16 | 4 | |
| 17 | 53 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | Neural mechanisms controlling the secretion of corticotrophin releasing factor. | 1 |
About Julia C. Buckingham
Julia C. Buckingham is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 4.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (34 papers), S100 Proteins and Annexins (28 papers) and Adrenal Hormones and Disorders (16 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Endocrine and Autonomic Systems (375 citations) and Immunology (1.1k citations). Julia C. Buckingham has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Roderick J. Flower, J. R. Hodges, John F. Morris, Helen Christian, Egle Solito, Mauro Perretti, Bridget I. Baker, Robert Hannon, Felicity N. E. Gavins and Abeda Mulla. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.
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.