Mary Lou King

4.9k total citations
66 papers, 3.9k citations indexed

About

Mary Lou King is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mary Lou King has authored 66 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mary Lou King's work include RNA Research and Splicing (17 papers), Developmental Biology and Gene Regulation (12 papers) and Genomics and Chromatin Dynamics (10 papers). Mary Lou King is often cited by papers focused on RNA Research and Splicing (17 papers), Developmental Biology and Gene Regulation (12 papers) and Genomics and Chromatin Dynamics (10 papers). Mary Lou King collaborates with scholars based in United States, United Kingdom and China. Mary Lou King's co-authors include Douglas W. Houston, Yi Zhou, Jian Zhang, Kimberly L. Mowry, Mikhail Bubunenko, Timothy J. Messitt, Fangfang Lai, Janet Heasman, Christopher Wylie and Christopher J. Payne and has published in prestigious journals such as Cell, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Mary Lou King

66 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Lou King United States 31 3.0k 1.1k 584 334 309 66 3.9k
Satoru Kobayashi Japan 40 4.4k 1.5× 1.7k 1.5× 483 0.8× 583 1.7× 492 1.6× 142 6.1k
Szczepan M. Biliński Poland 27 1.3k 0.4× 1.0k 0.9× 408 0.7× 219 0.7× 149 0.5× 126 2.7k
Richard P. Elinson Canada 39 2.8k 0.9× 852 0.7× 567 1.0× 258 0.8× 974 3.2× 108 4.5k
Ronald B. Walter United States 30 1.3k 0.4× 998 0.9× 144 0.2× 363 1.1× 278 0.9× 130 3.2k
E. M. Eddy United States 32 2.2k 0.7× 1.2k 1.0× 917 1.6× 299 0.9× 260 0.8× 53 4.1k
Kazuo Moriwaki Japan 37 2.4k 0.8× 2.3k 2.0× 269 0.5× 720 2.2× 230 0.7× 156 4.6k
Evelyn Houliston France 34 2.1k 0.7× 446 0.4× 612 1.0× 157 0.5× 958 3.1× 74 3.5k
N. Adrian Leu United States 33 2.9k 1.0× 759 0.7× 439 0.8× 325 1.0× 233 0.8× 79 4.0k
Helen White‐Cooper United Kingdom 29 2.2k 0.7× 742 0.6× 520 0.9× 436 1.3× 432 1.4× 44 3.4k
Laura E. Hake United States 22 1.7k 0.6× 432 0.4× 460 0.8× 119 0.4× 322 1.0× 36 2.2k

Countries citing papers authored by Mary Lou King

Since Specialization
Citations

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

Fields of papers citing papers by Mary Lou King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Lou King

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

All Works

20 of 20 papers shown
1.
Kuznetsov, Jeffim N., Tristan Agüero, Stefan Kurtenbach, et al.. (2019). BAP1 regulates epigenetic switch from pluripotency to differentiation in developmental lineages giving rise to BAP1-mutant cancers. Science Advances. 5(9). eaax1738–eaax1738. 65 indexed citations
2.
Agüero, Tristan, Karen Newman, & Mary Lou King. (2018). Microinjection ofXenopusOocytes. Cold Spring Harbor Protocols. 2018(2). pdb.prot096974–pdb.prot096974. 9 indexed citations
3.
Kuznetsov, Jeffim N., Tristan Agüero, Stefan Kurtenbach, et al.. (2017). Abstract 1541: The tumor suppressor BAP1 promotes a developmental switch from pluripotency to differentiation. Cancer Research. 77(13_Supplement). 1541–1541. 1 indexed citations
4.
Lai, Fangfang, Amar M. Singh, & Mary Lou King. (2012). XenopusNanos1 is required to prevent endoderm gene expression and apoptosis in primordial germ cells. Development. 139(8). 1476–1486. 71 indexed citations
5.
Lai, Fangfang, et al.. (2010). Nanos1 functions as a translational repressor in the Xenopus germline. Mechanisms of Development. 128(1-2). 153–163. 51 indexed citations
6.
King, Mary Lou, Timothy J. Messitt, & Kimberly L. Mowry. (2005). Putting RNAs in the right place at the right time: RNA localization in the frog oocyte. Biology of the Cell. 97(1). 19–33. 203 indexed citations
7.
Zhou, Yi & Mary Lou King. (2004). Sending RNAs into the Future: RNA Localization and Germ Cell Fate. IUBMB Life. 56(1). 19–27. 57 indexed citations
8.
Venkataraman, Thiagarajan, et al.. (2004). PCR-Based Cloning and Differential Screening of RNAs from <I>Xenopus</I> Primordial Germ Cells: Cloning Uniquely Expressed RNAs from Rare Cells. Humana Press eBooks. 254. 67–78. 6 indexed citations
9.
Chang, Patrick, et al.. (2004). Localization of RNAs to the Mitochondrial Cloud in Xenopus Oocytes through Entrapment and Association with Endoplasmic Reticulum. Molecular Biology of the Cell. 15(10). 4669–4681. 137 indexed citations
10.
Bruce, Ashley E.E., et al.. (2003). The maternally expressed zebrafish T-box gene eomesodermin regulates organizer formation. Development. 130(22). 5503–5517. 63 indexed citations
11.
Bubunenko, Mikhail, Tracy L. Kress, Uma D. Vempati, Kimberly L. Mowry, & Mary Lou King. (2002). A Consensus RNA Signal That Directs Germ Layer Determinants to the Vegetal Cortex of Xenopus Oocytes. Developmental Biology. 248(1). 82–92. 60 indexed citations
12.
Bubunenko, Mikhail & Mary Lou King. (2001). Biochemical characterization of a cellular structure retaining vegetally localized RNAs inXenopus late stage oocytes. Journal of Cellular Biochemistry. 80(4). 560–570. 5 indexed citations
13.
Houston, Douglas W. & Mary Lou King. (2000). Germ plasm and molecular determinants of germ cell fate. Current topics in developmental biology. 50. 155–IN2. 153 indexed citations
14.
Macarthur, Heather, et al.. (2000). DEADSouth is a germ plasm specific DEAD-box RNA helicase in Xenopus related to eIF4A. Mechanisms of Development. 95(1-2). 291–295. 72 indexed citations
15.
Macarthur, Heather, Mikhail Bubunenko, Douglas W. Houston, & Mary Lou King. (1999). Xcat RNA is a translationally sequestered germ plasm component in Xenopus. Mechanisms of Development. 84(1-2). 75–88. 68 indexed citations
16.
Zhang, Jian, Douglas W. Houston, Mary Lou King, et al.. (1998). The Role of Maternal VegT in Establishing the Primary Germ Layers in Xenopus Embryos. Cell. 94(4). 515–524. 376 indexed citations
17.
King, Mary Lou. (1996). Molecular basis for cytoplasmic localization. Developmental Genetics. 19(3). 183–189. 15 indexed citations
18.
King, Mary Lou & Charles H. Elliott. (1996). UNICEF's call to greatness--an open letter to Ms Carol Bellamy, Executive Director, United Nations Children's Fund.. PubMed. 9(3). 130–3. 5 indexed citations
19.
20.
Litvin, Judith & Mary Lou King. (1989). Cell surface proteins of wholeXenopus embryos identified by radioiodination. Development Genes and Evolution. 198(3). 141–147. 3 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.

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