Judith Singer–Sam
- Molecular Biology top 5%
- Genetics top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Plant Science
- Immunology
- Co-authors
- Arthur D. RiggsJeanne M. LeBonVerne M. ChapmanMurray O. RobinsonAnthony R. BellvéL ShivelyJeffrey R. MannRobert L. Tanguay
- Topics
- Epigenetics and DNA Methylation (14 papers)Genetic Syndromes and Imprinting (11 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Judith Singer–Sam
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.5k
- Genetics 918
- Pediatrics, Perinatology and Child Health 152
- Plant Science 126
- Immunology 114
Countries citing papers authored by Judith Singer–Sam
This map shows the geographic impact of Judith Singer–Sam'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 Judith Singer–Sam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Singer–Sam more than expected).
Fields of papers citing papers by Judith Singer–Sam
This network shows the impact of papers produced by Judith Singer–Sam. 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 Judith Singer–Sam. The network helps show where Judith Singer–Sam may publish in the future.
Co-authorship network of co-authors of Judith Singer–Sam
This figure shows the co-authorship network connecting the top 25 collaborators of Judith Singer–Sam. A scholar is included among the top collaborators of Judith Singer–Sam 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 Judith Singer–Sam. Judith Singer–Sam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 7 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 41 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 21 | |
| 10 | 62 | |
| 11 | 17 | |
| 12 | 71 | |
| 13 | 32 | |
| 14 | 67 | |
| 15 | 23 | |
| 16 | 75 | |
| 17 | 38 | |
| 18 | 204 | |
| 19 | 132 | |
| 20 | 13 |
About Judith Singer–Sam
Judith Singer–Sam is a scholar working on Genetics, Molecular Biology and Biochemistry, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Genetic Syndromes and Imprinting (11 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers). The work is most often cited by research in Genetics (918 citations), Molecular Biology (1.5k citations) and Reproductive Medicine (69 citations). Judith Singer–Sam has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Arthur D. Riggs, Jeanne M. LeBon, Verne M. Chapman, Murray O. Robinson, Anthony R. Bellvé, L Shively, Jeffrey R. Mann, Robert L. Tanguay, Robert L. Simmer and Akira Yoshida. 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.