Shanaka Stanislaus
- Molecular Biology top 5%
- Physiology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Murielle M. VéniantJing XuClarence HaleMichelle ChenRandy HechtDavid J. LloydRichard LindbergSteven Vonderfecht
- Topics
- Fibroblast Growth Factor Research (10 papers)Epigenetics and DNA Methylation (10 papers)Kruppel-like factors research (9 papers)
- Partner nations
- United States
In The Last Decade
Shanaka Stanislaus
20 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.8k
- Physiology 386
- Epidemiology 370
- Endocrinology, Diabetes and Metabolism 356
- Surgery 265
Countries citing papers authored by Shanaka Stanislaus
This map shows the geographic impact of Shanaka Stanislaus'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 Shanaka Stanislaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanaka Stanislaus more than expected).
Fields of papers citing papers by Shanaka Stanislaus
This network shows the impact of papers produced by Shanaka Stanislaus. 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 Shanaka Stanislaus. The network helps show where Shanaka Stanislaus may publish in the future.
Co-authorship network of co-authors of Shanaka Stanislaus
This figure shows the co-authorship network connecting the top 25 collaborators of Shanaka Stanislaus. A scholar is included among the top collaborators of Shanaka Stanislaus 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 Shanaka Stanislaus. Shanaka Stanislaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settingsbreakdown → | 115 |
| 2 | 71 | |
| 3 | 44 | |
| 4 | 81 | |
| 5 | 49 | |
| 6 | 19 | |
| 7 | 53 | |
| 8 | 124 | |
| 9 | 124 | |
| 10 | 150 | |
| 11 | 289 | |
| 12 | 71 | |
| 13 | Fibroblast Growth Factor 21 Reverses Hepatic Steatosis, Increases Energy Expenditure, and Improves Insulin Sensitivity in Diet-Induced Obese Micebreakdown → | 974 |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 48 | |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 39 | |
| 20 | Para neoplastic parathyroid hormone secretion by the transplantable walker carcino sarcoma 256 of the rat | 2 |
About Shanaka Stanislaus
Shanaka Stanislaus is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Epigenetics and DNA Methylation (10 papers) and Kruppel-like factors research (9 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Endocrinology, Diabetes and Metabolism (356 citations) and Physiology (386 citations). Shanaka Stanislaus has collaborated with scholars based in United States. Frequent co-authors include Murielle M. Véniant, Jing Xu, Clarence Hale, Michelle Chen, Randy Hecht, David J. Lloyd, Richard Lindberg, Steven Vonderfecht, Todd Hager and Zhiyou Zhang. Their work appears in journals such as PLoS ONE, Diabetes and The Journal of Comparative Neurology.
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.