G F Saunders
- Molecular Biology top 5%
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Louise C. StrongPeter T. LomedicoStephen M. HewittGail FraizerVicki HuffW. T. SchroederMarsha L. FrazierLinda C. Lopez
- Topics
- Renal and related cancers (18 papers)RNA modifications and cancer (9 papers)RNA and protein synthesis mechanisms (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
G F Saunders
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 2.0k
- Genetics 557
- Pediatrics, Perinatology and Child Health 311
- Endocrinology, Diabetes and Metabolism 274
- Surgery 249
Countries citing papers authored by G F Saunders
This map shows the geographic impact of G F Saunders'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 G F Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G F Saunders more than expected).
Fields of papers citing papers by G F Saunders
This network shows the impact of papers produced by G F Saunders. 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 G F Saunders. The network helps show where G F Saunders may publish in the future.
Co-authorship network of co-authors of G F Saunders
This figure shows the co-authorship network connecting the top 25 collaborators of G F Saunders. A scholar is included among the top collaborators of G F Saunders 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 G F Saunders. G F Saunders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 62 | |
| 3 | Thymic nurse cell rescue of early CD4+CD8+ thymocytes from apoptosis. | 17 |
| 4 | Paired box mutations in familial and sporadic aniridia predicts truncated aniridia proteins. | 50 |
| 5 | 74 | |
| 6 | Examination of DNA methylation of chromosomal hot spots associated with breast cancer. | 6 |
| 7 | 39 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | Localization of an abundant myeloid mRNA to individual leukocytes in mixed cell populations. | 10 |
| 16 | 31 | |
| 17 | 180 | |
| 18 | 21 | |
| 19 | 5 | |
| 20 | 30 |
About G F Saunders
G F Saunders is a scholar working on Molecular Biology, Genetics and Genetics, having authored 60 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renal and related cancers (18 papers), RNA modifications and cancer (9 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Genetics (557 citations) and Endocrinology, Diabetes and Metabolism (274 citations). G F Saunders has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Louise C. Strong, Peter T. Lomedico, Stephen M. Hewitt, Gail Fraizer, Vicki Huff, W. T. Schroeder, Marsha L. Frazier, Linda C. Lopez, Vincent M. Riccardi and C J Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.