Francesca Swords
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Endocrine and Autonomic Systems
- Nutrition and Dietetics
- Co-authors
- Peter KingAdrian ClarkLuke A. NoonLászló HunyadyAsma BaigMichael O. ThornerCarl D. MalchoffDiana M. Malchoff
- Topics
- Pituitary Gland Disorders and Treatments (6 papers)Adrenal and Paraganglionic Tumors (5 papers)Glioma Diagnosis and Treatment (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsBehavioral Neuroscience
- Journals
- Journal of Biological ChemistryAnnals of the New York Academy of SciencesMolecular Endocrinology
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
Francesca Swords
12 papers receiving 215 citations
Peers
Comparison fields: 5 of 40
- Endocrinology, Diabetes and Metabolism 122
- Surgery 91
- Molecular Biology 66
- Endocrine and Autonomic Systems 40
- Nutrition and Dietetics 29
Countries citing papers authored by Francesca Swords
This map shows the geographic impact of Francesca Swords'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 Francesca Swords with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Swords more than expected).
Fields of papers citing papers by Francesca Swords
This network shows the impact of papers produced by Francesca Swords. 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 Francesca Swords. The network helps show where Francesca Swords may publish in the future.
Co-authorship network of co-authors of Francesca Swords
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Swords. A scholar is included among the top collaborators of Francesca Swords 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 Francesca Swords. Francesca Swords is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Discordance between growth hormone and IGF1 in patients with acromegaly following recent guidelines | 1 |
| 7 | Familial prolactinoma occuring in association with SDHB mutation positive paraganglioma | 9 |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 46 | |
| 11 | 74 | |
| 12 | 31 |
About Francesca Swords
Francesca Swords is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 217 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (5 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (122 citations), Endocrine and Autonomic Systems (40 citations) and Behavioral Neuroscience (15 citations). Francesca Swords has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Peter King, Adrian Clark, Luke A. Noon, László Hunyady, Asma Baig, Michael O. Thorner, Carl D. Malchoff, Diana M. Malchoff, Adrian J. L. Clark and P. J. Heyburn. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and Molecular Endocrinology.
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.