Kathleen Mathers
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Oncology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Martin GassmannDavid F. SternJon P. GoldingAmy Jackson-FisherCharalambos MagoulasDanielle CarmignacAbdul Karim SesayNina Balthasar
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Hypothalamic control of reproductive hormones (1 paper)Virus-based gene therapy research (1 paper)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismDevelopmental Neuroscience
- Journals
- Proceedings of the National Academy of SciencesEndocrinologyJournal of Investigative Dermatology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Kathleen Mathers
10 papers receiving 552 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 245
- Endocrinology, Diabetes and Metabolism 152
- Genetics 119
- Oncology 115
- Endocrine and Autonomic Systems 74
Countries citing papers authored by Kathleen Mathers
This map shows the geographic impact of Kathleen Mathers'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 Kathleen Mathers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen Mathers more than expected).
Fields of papers citing papers by Kathleen Mathers
This network shows the impact of papers produced by Kathleen Mathers. 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 Kathleen Mathers. The network helps show where Kathleen Mathers may publish in the future.
Co-authorship network of co-authors of Kathleen Mathers
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen Mathers. A scholar is included among the top collaborators of Kathleen Mathers 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 Kathleen Mathers. Kathleen Mathers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 34 | |
| 3 | 86 | |
| 4 | 45 | |
| 5 | 211 | |
| 6 | 40 | |
| 7 | 11 | |
| 8 | 26 | |
| 9 | 59 | |
| 10 | 23 |
About Kathleen Mathers
Kathleen Mathers is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Virology, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Hypothalamic control of reproductive hormones (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Endocrinology, Diabetes and Metabolism (152 citations) and Developmental Neuroscience (27 citations). Kathleen Mathers has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Martin Gassmann, David F. Stern, Jon P. Golding, Amy Jackson-Fisher, Charalambos Magoulas, Danielle Carmignac, Abdul Karim Sesay, Nina Balthasar, Iain C.A.F. Robinson and Helen Christian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrinology and Journal of Investigative Dermatology.
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.