Jacqueline A. Dyck
- Molecular Biology top 1%
- Genetics top 0.5%
- Biochemistry top 0.5%
- Immunology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Ronald M. EvansDavid J. MangelsdorfEstelita S. OngRichard A. HeymanGregor EicheleChristina ThallerRobert B. SteinGerd G. Maul
- Topics
- Retinoids in leukemia and cellular processes (8 papers)Estrogen and related hormone effects (4 papers)Acute Myeloid Leukemia Research (3 papers)
- Partner nations
- United StatesMalaysiaFrance
In The Last Decade
Jacqueline A. Dyck
12 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 4.2k
- Genetics 2.0k
- Biochemistry 828
- Immunology 744
- Cellular and Molecular Neuroscience 566
Countries citing papers authored by Jacqueline A. Dyck
This map shows the geographic impact of Jacqueline A. Dyck'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 Jacqueline A. Dyck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline A. Dyck more than expected).
Fields of papers citing papers by Jacqueline A. Dyck
This network shows the impact of papers produced by Jacqueline A. Dyck. 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 Jacqueline A. Dyck. The network helps show where Jacqueline A. Dyck may publish in the future.
Co-authorship network of co-authors of Jacqueline A. Dyck
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline A. Dyck. A scholar is included among the top collaborators of Jacqueline A. Dyck 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 Jacqueline A. Dyck. Jacqueline A. Dyck 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 | 127 | |
| 3 | 143 | |
| 4 | 2 | |
| 5 | 221 | |
| 6 | 268 | |
| 7 | A novel macromolecular structure is a target of the promyelocyte-retinoic acid receptor oncoproteinbreakdown → | 694 |
| 8 | 9-cis retinoic acid is a high affinity ligand for the retinoid X receptorbreakdown → | 1551 |
| 9 | 125 | |
| 10 | 347 | |
| 11 | Nuclear receptor that identifies a novel retinoic acid response pathwaybreakdown → | 1330 |
| 12 | 14 | |
| 13 | 1 |
About Jacqueline A. Dyck
Jacqueline A. Dyck is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 13 papers that have together received 4.8k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Biochemistry (828 citations), Genetics (2.0k citations) and Molecular Biology (4.2k citations). Jacqueline A. Dyck has collaborated with scholars based in United States, Malaysia and France. Frequent co-authors include Ronald M. Evans, David J. Mangelsdorf, Estelita S. Ong, Richard A. Heyman, Gregor Eichele, Christina Thaller, Robert B. Stein, Gerd G. Maul, Akira Kakizuka and Wilson H. Miller. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.