Megan J. Wilson

6.2k total citations · 1 hit paper
88 papers, 4.5k citations indexed

About

Megan J. Wilson is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Megan J. Wilson has authored 88 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 45 papers in Molecular Biology and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Megan J. Wilson's work include Pregnancy and preeclampsia studies (14 papers), Birth, Development, and Health (14 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers). Megan J. Wilson is often cited by papers focused on Pregnancy and preeclampsia studies (14 papers), Birth, Development, and Health (14 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers). Megan J. Wilson collaborates with scholars based in New Zealand, United States and Bolivia. Megan J. Wilson's co-authors include Peter Koopman, Colleen G. Julian, Lorna G. Moore, Peter K. Dearden, Iain L. Lamont, Dagmar Wilhelm, Mark D. Shriver, Josephine Bowles, Abigail W. Bigham and Enrique Vargas and has published in prestigious journals such as Science, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Megan J. Wilson

84 papers receiving 4.5k citations

Hit Papers

Retinoid Signaling Determines Germ Cell Fate in Mice 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan J. Wilson New Zealand 32 2.5k 2.2k 673 528 509 88 4.5k
Geoff Shaw Australia 35 2.3k 0.9× 2.4k 1.1× 665 1.0× 162 0.3× 826 1.6× 193 4.9k
Enkui Duan China 36 600 0.2× 2.8k 1.2× 551 0.8× 389 0.7× 1.0k 2.1× 124 5.6k
F. B. P. Wooding United Kingdom 39 892 0.3× 1.5k 0.7× 875 1.3× 994 1.9× 201 0.4× 143 5.1k
Hiroki Kurahashi Japan 46 2.0k 0.8× 3.1k 1.4× 976 1.5× 528 1.0× 342 0.7× 278 6.4k
Philippe Monget France 48 2.1k 0.8× 2.4k 1.1× 497 0.7× 130 0.2× 1.7k 3.4× 153 6.8k
Felix Beck United Kingdom 44 2.3k 0.9× 4.3k 1.9× 755 1.1× 459 0.9× 129 0.3× 160 7.3k
Yoshihiro Hayashi Japan 34 1.1k 0.4× 2.6k 1.2× 188 0.3× 110 0.2× 650 1.3× 315 5.6k
Joan Cerdà Spain 42 1.6k 0.6× 1.5k 0.7× 185 0.3× 149 0.3× 836 1.6× 156 5.5k
Dale A. Redmer United States 48 1.4k 0.6× 2.2k 1.0× 2.6k 3.9× 2.4k 4.5× 1.1k 2.1× 205 8.9k
Cheryl Ashworth United Kingdom 31 930 0.4× 436 0.2× 605 0.9× 351 0.7× 248 0.5× 115 3.3k

Countries citing papers authored by Megan J. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Megan J. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan J. Wilson. 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 Megan J. Wilson. The network helps show where Megan J. Wilson may publish in the future.

Co-authorship network of co-authors of Megan J. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Megan J. Wilson. A scholar is included among the top collaborators of Megan J. Wilson 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 Megan J. Wilson. Megan J. Wilson 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
2.
Wilson, Megan J., et al.. (2024). Variation in Whole‐Body Regeneration Between Botrylloides Morphs and Species. SHILAP Revista de lepidopterología. 2024(1).
3.
Wilson, Megan J., et al.. (2023). RNA sequencing and expression analysis reveal a role for Lhx9 in the haploinsufficient adult mouse ovary. Molecular Reproduction and Development. 90(5). 295–309. 1 indexed citations
4.
Page, Mike, et al.. (2023). Identification and characterisation of Botrylloides (Styelidae) species from Aotearoa New Zealand coasts. New Zealand Journal of Marine and Freshwater Research. 58(2). 255–273. 2 indexed citations
5.
Sharma, Lavanya Ajay, Niranjan Ramesh, Ajay Sharma, et al.. (2023). In vitro effects of wool-derived keratin on human dental pulp-derived stem cells for endodontic applications. British Journal of Oral and Maxillofacial Surgery. 61(9). 617–622. 5 indexed citations
6.
Wilson, Megan J., et al.. (2021). Characterization of a novel Lbx1 mouse loss of function strain. Differentiation. 123. 30–41. 2 indexed citations
7.
Wilson, Megan J., et al.. (2019). Histone deacetylase activity is required for Botrylloides leachii whole body regeneration. Journal of Experimental Biology. 222(Pt 15). 10 indexed citations
8.
Yang, Yisheng, et al.. (2018). The molecular pathways underlying early gonadal development. Journal of Molecular Endocrinology. 62(1). R47–R64. 25 indexed citations
9.
Rutherford, Kim, et al.. (2018). De novo draft assembly of the Botrylloides leachii genome provides further insight into tunicate evolution. Scientific Reports. 8(1). 5518–5518. 29 indexed citations
10.
Lamare, Miles D., et al.. (2017). Hematological Analysis of the Ascidian Botrylloides leachii (Savigny, 1816) During Whole-Body Regeneration. Biological Bulletin. 232(3). 143–157. 21 indexed citations
11.
Wilson, Megan J., et al.. (2017). Selection and evaluation of reference genes for analysis of mouse (Mus musculus ) sex-dimorphic brain development. PeerJ. 5. e2909–e2909. 21 indexed citations
12.
Wilson, Megan J., Colleen G. Julian, & Robert C. Roach. (2011). Genomic Analysis of High-Altitude Adaptation. Current Sports Medicine Reports. 10(2). 59–61. 5 indexed citations
13.
Julian, Colleen G., et al.. (2011). Lowland origin women raised at high altitude are not protected against lower uteroplacental O2 delivery during pregnancy or reduced birth weight. American Journal of Human Biology. 23(4). 509–516. 31 indexed citations
14.
Bigham, Abigail W., Marc Bauchet, Dalila Pinto, et al.. (2010). Identifying Signatures of Natural Selection in Tibetan and Andean Populations Using Dense Genome Scan Data. PLoS Genetics. 6(9). e1001116–e1001116. 430 indexed citations
15.
Wilson, Megan J., et al.. (2009). Giant, Krüppel, and caudal act as gap genes with extensive roles in patterning the honeybee embryo. Developmental Biology. 339(1). 200–211. 45 indexed citations
16.
Julian, Colleen G., Megan J. Wilson, & Lorna G. Moore. (2009). Evolutionary adaptation to high altitude: A view from in utero. American Journal of Human Biology. 21(5). 614–622. 57 indexed citations
17.
Dearden, Peter K., Elizabeth J. Duncan, & Megan J. Wilson. (2009). Immunohistochemistry on Honeybee (Apis mellifera) Embryos. Cold Spring Harbor Protocols. 2009(6). pdb.prot5227–pdb.prot5227. 5 indexed citations
18.
Bowles, Josephine, Deon Knight, Christopher Smith, et al.. (2006). Retinoid Signaling Determines Germ Cell Fate in Mice. Science. 312(5773). 596–600. 756 indexed citations breakdown →
19.
Wilson, Megan J. & Iain L. Lamont. (2000). Characterization of an ECF Sigma Factor Protein from Pseudomonas aeruginosa. Biochemical and Biophysical Research Communications. 273(2). 578–583. 43 indexed citations
20.
Wilson, Megan J., et al.. (1992). Mycoplasmas in the plaque and saliva of children.. PubMed. 72(292-293). 221–6. 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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