Dana King

403 total citations
11 papers, 246 citations indexed

About

Dana King is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Dana King has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Dana King's work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Acute Myeloid Leukemia Research (1 paper) and Virus-based gene therapy research (1 paper). Dana King is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (2 papers), Acute Myeloid Leukemia Research (1 paper) and Virus-based gene therapy research (1 paper). Dana King collaborates with scholars based in United States and Poland. Dana King's co-authors include Barak A. Cohen, Scott W. Hiebert, Tho X. Pham, Loka R. Penke, Marc Peters‐Golden, Giovanni Ligresti, Brett Maricque, Roberto Perales, Christopher M. Hammell and David M. Granas and has published in prestigious journals such as Molecular and Cellular Biology, Oncogene and PLoS Genetics.

In The Last Decade

Dana King

11 papers receiving 241 citations

Peers

Dana King

MB

PRM

ONCOL

AGING

HEMAT

Yeon Koo United States

Laëtitia Kermasson France

Angélica Horrillo Spain

Xike Zhu China

Natsuko Okamoto Japan

Shingo Usuki Japan

Kip D. Zimmerman United States

Thea L. Willis United Kingdom

Hafdís T. Helgadóttir Sweden

Arnell Carter United States

Yeon Koo United States

Dana King

201 ×1.3

MB

17 ×0.5

PRM

25 ×1.0

ONCOL

9 ×0.4

AGING

8 ×0.3

HEMAT

Citations per year, relative to Dana King Dana King (= 1×) peers Yeon Koo

Countries citing papers authored by Dana King

Since Specialization

Citations

This map shows the geographic impact of Dana King'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 Dana King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana King more than expected).

Fields of papers citing papers by Dana King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana King. 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 Dana King. The network helps show where Dana King may publish in the future.

Co-authorship network of co-authors of Dana King

This figure shows the co-authorship network connecting the top 25 collaborators of Dana King. A scholar is included among the top collaborators of Dana King 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 Dana King. Dana King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Wang, Xinyu, et al.. (2025). An engineered viral protein activates STAT5 to prevent T cell suppression. Science Immunology. 10(107). eadn9633–eadn9633. 2 indexed citations

2.

Wang, Lijing, Wei-Sheng Wu, Dana King, et al.. (2024). Sleep-dependent engram reactivation during hippocampal memory consolidation associated with subregion-specific biosynthetic changes. iScience. 27(4). 109408–109408. 4 indexed citations

3.

Lapp, Zena, Dana King, Matthew Flickinger, et al.. (2022). Developing and deploying an integrated workshop curriculum teaching computational skills for reproducible research. PubMed. 5(47). 144–144. 1 indexed citations

4.

Penke, Loka R., et al.. (2021). Myofibroblast dedifferentiation proceeds via distinct transcriptomic and phenotypic transitions. JCI Insight. 6(6). 55 indexed citations

5.

Rieger, Michael A., et al.. (2020). CLIP and Massively Parallel Functional Analysis of CELF6 Reveal a Role in Destabilizing Synaptic Gene mRNAs through Interaction with 3′ UTR Elements. Cell Reports. 33(12). 108531–108531. 13 indexed citations

6.

King, Dana, et al.. (2020). Synthetic and genomic regulatory elements reveal aspects of cis-regulatory grammar in mouse embryonic stem cells. eLife. 9. 50 indexed citations

7.

Perales, Roberto, et al.. (2014). LIN-42, the Caenorhabditis elegans PERIOD homolog, Negatively Regulates MicroRNA Transcription. PLoS Genetics. 10(7). e1004486–e1004486. 30 indexed citations

8.

Nayak, Sudhir, et al.. (2014). Development of Small Molecular Proteasome Inhibitors Using aCaenorhabditis elegansScreen. PubMed. 2014. 1–14. 1 indexed citations

9.

Amann, Joseph M., Brenda Chyla, Jeffrey L. Franklin, et al.. (2005). Mtgr1 Is a Transcriptional Corepressor That Is Required for Maintenance of the Secretory Cell Lineage in the Small Intestine. Molecular and Cellular Biology. 25(21). 9576–9585. 48 indexed citations

10.

King, Dana, et al.. (2002). Loss of neurofibromatosis-1 and p19ARF cooperate to induce a multiple tumor phenotype. Oncogene. 21(32). 4978–4982. 19 indexed citations

11.

Hiebert, Scott W., Bart Lutterbach, Lilin Wang, et al.. (2001). Mechanisms of transcriptional repression by the t(8;21)-, t(12;21)-, and inv(16)-encoded fusion proteins. Cancer Chemotherapy and Pharmacology. 48(0). S31–S34. 23 indexed citations

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.

Explore authors with similar magnitude of impact