Angus M. MacNicol

2.6k total citations
59 papers, 2.1k citations indexed

About

Angus M. MacNicol is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Angus M. MacNicol has authored 59 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 11 papers in Endocrine and Autonomic Systems and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Angus M. MacNicol's work include RNA Research and Splicing (21 papers), Reproductive Biology and Fertility (11 papers) and Regulation of Appetite and Obesity (11 papers). Angus M. MacNicol is often cited by papers focused on RNA Research and Splicing (21 papers), Reproductive Biology and Fertility (11 papers) and Regulation of Appetite and Obesity (11 papers). Angus M. MacNicol collaborates with scholars based in United States, United Kingdom and China. Angus M. MacNicol's co-authors include Melanie C MacNicol, Anthony J. Muslin, Lewis T. Williams, Amanda Charlesworth, Gwen V. Childs, Angela K. Odle, Akira Kikuchi, Joseph F. Welk, Wendy J. Fantl and Ania Wilczynska and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Angus M. MacNicol

56 papers receiving 2.1k citations

Peers

Angus M. MacNicol
Yun Feng China
Swathi Arur United States
David A. Wassarman United States
Vadim Iourgenko United States
Rueyling Lin United States
Margarita Kamenetsky United States
Jeong Su Oh South Korea
Cornelia H. de Moor United Kingdom
Yun Feng China
Angus M. MacNicol
Citations per year, relative to Angus M. MacNicol Angus M. MacNicol (= 1×) peers Yun Feng

Countries citing papers authored by Angus M. MacNicol

Since Specialization
Citations

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

Fields of papers citing papers by Angus M. MacNicol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus M. MacNicol. 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 Angus M. MacNicol. The network helps show where Angus M. MacNicol may publish in the future.

Co-authorship network of co-authors of Angus M. MacNicol

This figure shows the co-authorship network connecting the top 25 collaborators of Angus M. MacNicol. A scholar is included among the top collaborators of Angus M. MacNicol 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 Angus M. MacNicol. Angus M. MacNicol 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.
Miles, Tiffany K., Angela K. Odle, Anessa Haney, et al.. (2024). Maternal undernutrition results in transcript changes in male offspring that may promote resistance to high fat diet induced weight gain. Frontiers in Endocrinology. 14. 1332959–1332959. 1 indexed citations
2.
Urbaniak, Alicja, Linda Hardy, Anessa Haney, et al.. (2023). Musashi Exerts Control of Gonadotrope Target mRNA Translation During the Mouse Estrous Cycle. Endocrinology. 164(9). 5 indexed citations
3.
Urbaniak, Alicja, Megan R. Reed, Daniel Fil, et al.. (2021). Single and double modified salinomycin analogs target stem-like cells in 2D and 3D breast cancer models. Biomedicine & Pharmacotherapy. 141. 111815–111815. 8 indexed citations
4.
Odle, Angela K., Tiffany K. Miles, Linda Hardy, et al.. (2020). Metabolic signalling to somatotrophs: Transcriptional and post‐transcriptional mediators. Journal of Neuroendocrinology. 32(11). e12883–e12883. 14 indexed citations
5.
Childs, Gwen V., Angela K. Odle, Melanie C MacNicol, & Angus M. MacNicol. (2020). The Importance of Leptin to Reproduction. Endocrinology. 162(2). 138 indexed citations
6.
Byrd, Alicia K., Boris Zybailov, Leena Maddukuri, et al.. (2016). Evidence That G-quadruplex DNA Accumulates in the Cytoplasm and Participates in Stress Granule Assembly in Response to Oxidative Stress. Journal of Biological Chemistry. 291(34). 18041–18057. 75 indexed citations
7.
MacNicol, Melanie C, et al.. (2015). Functional Integration of mRNA Translational Control Programs. Biomolecules. 5(3). 1580–1599. 12 indexed citations
8.
MacNicol, Angus M., Linda Hardy, Horace J. Spencer, & Melanie C MacNicol. (2015). Neural stem and progenitor cell fate transition requires regulation of Musashi1 function. BMC Developmental Biology. 15(1). 15–15. 23 indexed citations
9.
Penthala, Narsimha Reddy, et al.. (2014). Heterocyclic aminoparthenolide derivatives modulate G2-M cell cycle progression during Xenopus oocyte maturation. Bioorganic & Medicinal Chemistry Letters. 24(8). 1963–1967. 10 indexed citations
10.
MacNicol, Melanie C, et al.. (2011). Context-dependent regulation of Musashi-mediated mRNA translation and cell cycle regulation.. Cell Cycle. 10(1). 39–44. 56 indexed citations
11.
Arumugam, K., Yiying Wang, Linda Hardy, Melanie C MacNicol, & Angus M. MacNicol. (2009). Enforcing temporal control of maternal mRNA translation during oocyte cell‐cycle progression. The EMBO Journal. 29(2). 387–397. 48 indexed citations
12.
Mahadevan, Mahendran, et al.. (2008). Mos 3′ UTR regulatory differences underlie species‐specific temporal patterns of Mos mRNA cytoplasmic polyadenylation and translational recruitment during oocyte maturation. Molecular Reproduction and Development. 75(8). 1258–1268. 17 indexed citations
13.
Charlesworth, Amanda, et al.. (2008). A novel mRNA 3′ untranslated region translational control sequence regulates Xenopus Wee1 mRNA translation. Developmental Biology. 317(2). 454–466. 22 indexed citations
14.
Charlesworth, Amanda, et al.. (2004). Cytoplasmic Polyadenylation Element (CPE)- and CPE-binding Protein (CPEB)-independent Mechanisms Regulate Early Class Maternal mRNA Translational Activation in Xenopus Oocytes. Journal of Biological Chemistry. 279(17). 17650–17659. 89 indexed citations
15.
Liu, Kenian, et al.. (2002). Early expression of p107 is associated with 3T3-L1 adipocyte differentiation. Molecular and Cellular Endocrinology. 194(1-2). 51–61. 18 indexed citations
16.
MacNicol, Angus M., et al.. (1999). Functional conservation of the wingless–engrailed interaction as shown by a widely applicable baculovirus misexpression system. Current Biology. 9(22). 1288–1296. 53 indexed citations
17.
MacNicol, Melanie C, David Pot, & Angus M. MacNicol. (1997). pXen, a utility vector for the expression of GST-fusion proteins in Xenopus laevis oocytes and embryos. Gene. 196(1-2). 25–29. 23 indexed citations
18.
MacNicol, Angus M., Anthony J. Muslin, Emily L. Howard, et al.. (1995). Regulation of Raf-1-Dependent Signaling during Early Xenopus Development. Molecular and Cellular Biology. 15(12). 6686–6693. 26 indexed citations
19.
Muslin, Anthony J., Angus M. MacNicol, & Lewis T. Williams. (1993). Raf-1 Protein Kinase Is Important for Progesterone-Induced Xenopus Oocyte Maturation and Acts Downstream of mos. Molecular and Cellular Biology. 13(7). 4197–4202. 22 indexed citations
20.
MacNicol, Angus M., Anthony J. Muslin, & Lewis T. Williams. (1993). Raf-1 kinase is essential for early Xenopus development and mediates the induction of mesoderm by FGF. Cell. 73(3). 571–583. 179 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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