Veronica J. Roberts
- Molecular Biology top 5%
- Reproductive Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Co-authors
- Gerry WeinmasterGreg LemkePaul E. SawchenkoHélène MeunierS. S. C. YENWylie ValeCatherine RivierAlbert El-Roeiy
- Topics
- TGF-β signaling in diseases (19 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)Kruppel-like factors research (11 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Veronica J. Roberts
41 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 2.0k
- Reproductive Medicine 890
- Public Health, Environmental and Occupational Health 884
- Endocrinology, Diabetes and Metabolism 612
- Genetics 502
Countries citing papers authored by Veronica J. Roberts
This map shows the geographic impact of Veronica J. Roberts'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 Veronica J. Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica J. Roberts more than expected).
Fields of papers citing papers by Veronica J. Roberts
This network shows the impact of papers produced by Veronica J. Roberts. 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 Veronica J. Roberts. The network helps show where Veronica J. Roberts may publish in the future.
Co-authorship network of co-authors of Veronica J. Roberts
This figure shows the co-authorship network connecting the top 25 collaborators of Veronica J. Roberts. A scholar is included among the top collaborators of Veronica J. Roberts 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 Veronica J. Roberts. Veronica J. Roberts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 22 | |
| 3 | 15 | |
| 4 | 39 | |
| 5 | 35 | |
| 6 | 13 | |
| 7 | 50 | |
| 8 | 42 | |
| 9 | 77 | |
| 10 | 89 | |
| 11 | 113 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 128 | |
| 16 | 32 | |
| 17 | 211 | |
| 18 | 6 | |
| 19 | 179 | |
| 20 | 13 |
About Veronica J. Roberts
Veronica J. Roberts is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (19 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Kruppel-like factors research (11 papers). The work is most often cited by research in Reproductive Medicine (890 citations), Obstetrics and Gynecology (331 citations) and Endocrinology, Diabetes and Metabolism (612 citations). Veronica J. Roberts has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Gerry Weinmaster, Greg Lemke, Paul E. Sawchenko, Hélène Meunier, S. S. C. YEN, Wylie Vale, Catherine Rivier, Albert El-Roeiy, L. Michael Kettel and Arlene J. Morales. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Development.
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.