Kimberly D. Tremblay
- Molecular Biology top 5%
- Genetics top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Surgery top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Marisa S. BartolomeiKenneth S. ZaretElizabeth J. RobertsonAdam S. DohertyMellissa R.W. MannRichard M. SchultzN. Ray DunnRobert S. Ingram
- Topics
- Pluripotent Stem Cells Research (10 papers)Epigenetics and DNA Methylation (9 papers)Pancreatic function and diabetes (9 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kimberly D. Tremblay
39 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.1k
- Genetics 1.1k
- Pediatrics, Perinatology and Child Health 795
- Surgery 512
- Public Health, Environmental and Occupational Health 432
Countries citing papers authored by Kimberly D. Tremblay
This map shows the geographic impact of Kimberly D. Tremblay'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 Kimberly D. Tremblay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly D. Tremblay more than expected).
Fields of papers citing papers by Kimberly D. Tremblay
This network shows the impact of papers produced by Kimberly D. Tremblay. 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 Kimberly D. Tremblay. The network helps show where Kimberly D. Tremblay may publish in the future.
Co-authorship network of co-authors of Kimberly D. Tremblay
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly D. Tremblay. A scholar is included among the top collaborators of Kimberly D. Tremblay 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 Kimberly D. Tremblay. Kimberly D. Tremblay 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 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | 30 | |
| 10 | 54 | |
| 11 | 17 | |
| 12 | 29 | |
| 13 | 19 | |
| 14 | 15 | |
| 15 | 11 | |
| 16 | 31 | |
| 17 | 216 | |
| 18 | 201 | |
| 19 | 311 | |
| 20 | Differential Effects of Culture on Imprinted H19 Expression in the Preimplantation Mouse Embryo1breakdown → | 571 |
About Kimberly D. Tremblay
Kimberly D. Tremblay is a scholar working on Hepatology, Molecular Biology and Genetics, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Epigenetics and DNA Methylation (9 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Genetics (1.1k citations), Pediatrics, Perinatology and Child Health (795 citations) and Molecular Biology (2.1k citations). Kimberly D. Tremblay has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Marisa S. Bartolomei, Kenneth S. Zaret, Elizabeth J. Robertson, Adam S. Doherty, Mellissa R.W. Mann, Richard M. Schultz, N. Ray Dunn, Robert S. Ingram, Jennifer Saam and Shirley M. Tilghman. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and PLoS ONE.
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.