Samuel J. Casella
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Genetics top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Judson J. Van WykVictor K. M. HanA. Joseph D’ErcoleROBERT G. ELGINDavid R. ClemmonsDavid C. GravesSteven JacobsAntoinette Moran
- Topics
- Growth Hormone and Insulin-like Growth Factors (13 papers)Sexual Differentiation and Disorders (6 papers)Diabetes Management and Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Samuel J. Casella
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 877
- Molecular Biology 688
- Genetics 349
- Surgery 292
- Pulmonary and Respiratory Medicine 194
Countries citing papers authored by Samuel J. Casella
This map shows the geographic impact of Samuel J. Casella'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 Samuel J. Casella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel J. Casella more than expected).
Fields of papers citing papers by Samuel J. Casella
This network shows the impact of papers produced by Samuel J. Casella. 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 Samuel J. Casella. The network helps show where Samuel J. Casella may publish in the future.
Co-authorship network of co-authors of Samuel J. Casella
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Casella. A scholar is included among the top collaborators of Samuel J. Casella 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 Samuel J. Casella. Samuel J. Casella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 27 | |
| 7 | 112 | |
| 8 | 76 | |
| 9 | 15 | |
| 10 | 181 | |
| 11 | 14 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 57 | |
| 16 | 9 | |
| 17 | 35 | |
| 18 | 95 | |
| 19 | 86 | |
| 20 | 135 |
About Samuel J. Casella
Samuel J. Casella is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Urology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Sexual Differentiation and Disorders (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (877 citations), Reproductive Medicine (134 citations) and Genetics (349 citations). Samuel J. Casella has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Judson J. Van Wyk, Victor K. M. Han, A. Joseph D’Ercole, ROBERT G. ELGIN, David R. Clemmons, David C. Graves, Steven Jacobs, Antoinette Moran, M. Sue Kirkman and Bonnie Slovis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.