Paul Q. Thomas
- Molecular Biology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 5%
- Cell Biology top 10%
- Co-authors
- R. S. P. BeddingtonAngus M. BrownMelanie ClementsDimitris KioussisJuan Pedro Martı́nez-BarberáRosa BeddingtonTristan A. RodríguezDonald F. Newgreen
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)Pluripotent Stem Cells Research (6 papers)Congenital heart defects research (4 papers)
- Partner nations
- AustraliaAustriaUnited Kingdom
In The Last Decade
Paul Q. Thomas
18 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.1k
- Surgery 475
- Endocrinology, Diabetes and Metabolism 440
- Genetics 425
- Cell Biology 111
Countries citing papers authored by Paul Q. Thomas
This map shows the geographic impact of Paul Q. Thomas'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 Paul Q. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Q. Thomas more than expected).
Fields of papers citing papers by Paul Q. Thomas
This network shows the impact of papers produced by Paul Q. Thomas. 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 Paul Q. Thomas. The network helps show where Paul Q. Thomas may publish in the future.
Co-authorship network of co-authors of Paul Q. Thomas
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Q. Thomas. A scholar is included among the top collaborators of Paul Q. Thomas 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 Paul Q. Thomas. Paul Q. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 90 | |
| 4 | 9 | |
| 5 | 28 | |
| 6 | 52 | |
| 7 | 23 | |
| 8 | 70 | |
| 9 | 56 | |
| 10 | 11 | |
| 11 | 96 | |
| 12 | Ectopic posterior pituitary lobe and periventricular heterotopia: cerebral malformations with the same underlying mechanism? | 41 |
| 13 | 207 | |
| 14 | 244 | |
| 15 | 368 | |
| 16 | A clinical study of 21 European families with dominant partial epilepsy | 1 |
| 17 | 428 | |
| 18 | 14 |
About Paul Q. Thomas
Paul Q. Thomas is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Pharmacy, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pluripotent Stem Cells Research (6 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (440 citations), Developmental Neuroscience (69 citations) and Molecular Biology (1.1k citations). Paul Q. Thomas has collaborated with scholars based in Australia, Austria and United Kingdom. Frequent co-authors include R. S. P. Beddington, Angus M. Brown, Melanie Clements, Dimitris Kioussis, Juan Pedro Martı́nez-Barberá, Rosa Beddington, Tristan A. Rodríguez, Donald F. Newgreen, Heather M. Young and Catherine Hearn. Their work appears in journals such as Development, Human Molecular Genetics and Developmental Biology.
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.