Roy E. Weiss
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 5%
- Genetics top 1%
- Surgery top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Samuel RefetoffA. Hari ReddiAlexandra M. DumitrescuXiao-Hui LiaoJessica HwangJoachim PohlenzCaterina Di CosmoYoshitaka Hayashi
- Topics
- Thyroid Disorders and Treatments (117 papers)Growth Hormone and Insulin-like Growth Factors (78 papers)Estrogen and related hormone effects (23 papers)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Roy E. Weiss
189 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 148
- Endocrinology, Diabetes and Metabolism 5.2k
- Molecular Biology 2.3k
- Genetics 1.6k
- Surgery 700
- Pediatrics, Perinatology and Child Health 602
Countries citing papers authored by Roy E. Weiss
This map shows the geographic impact of Roy E. Weiss'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 Roy E. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy E. Weiss more than expected).
Fields of papers citing papers by Roy E. Weiss
This network shows the impact of papers produced by Roy E. Weiss. 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 Roy E. Weiss. The network helps show where Roy E. Weiss may publish in the future.
Co-authorship network of co-authors of Roy E. Weiss
This figure shows the co-authorship network connecting the top 25 collaborators of Roy E. Weiss. A scholar is included among the top collaborators of Roy E. Weiss 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 Roy E. Weiss. Roy E. Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 11 | |
| 9 | 102 | |
| 10 | 52 | |
| 11 | 39 | |
| 12 | 142 | |
| 13 | 14 | |
| 14 | 260 | |
| 15 | 27 | |
| 16 | Congenitally hypothyroid mice with (Pax8 −/− ) or without (hyt/hyt) functional TSH receptors (TSHR) display equivalent skeletal phenotypes | 1 |
| 17 | 32 | |
| 18 | 10 | |
| 19 | 90 | |
| 20 | 0 |
About Roy E. Weiss
Roy E. Weiss is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Endocrine and Autonomic Systems, having authored 194 papers that have together received 8.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (117 papers), Growth Hormone and Insulin-like Growth Factors (78 papers) and Estrogen and related hormone effects (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.2k citations), Endocrine and Autonomic Systems (577 citations) and Genetics (1.6k citations). Roy E. Weiss has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Samuel Refetoff, A. Hari Reddi, Alexandra M. Dumitrescu, Xiao-Hui Liao, Jessica Hwang, Joachim Pohlenz, Caterina Di Cosmo, Yoshitaka Hayashi, Mark A. Stein and Jacques Samarut. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.