Natalie Allcock

36 total papers · 834 total citations
23 papers, 624 citations indexed

About

Natalie Allcock is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Natalie Allcock has authored 23 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Natalie Allcock's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Natalie Allcock is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Natalie Allcock collaborates with scholars based in United Kingdom, United States and Egypt. Natalie Allcock's co-authors include Robert Fern, Scott A. Wilke, Robert Thomas, Andrew Craig, Ning Luo, Martine Hamann, Robert J. Kayton, Charles K. Meshul, Stephen A. Back and Andrew M. Jones and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Applied and Environmental Microbiology.

In The Last Decade

Natalie Allcock

23 papers receiving 621 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Natalie Allcock	206	112	111	101	92	23	624
Rodrigo Sandoval	189 0.9×	59 0.5×	164 1.5×	42 0.4×	29 0.3×	36	763
Rachel Y. Reams	145 0.7×	77 0.7×	198 1.8×	44 0.4×	40 0.4×	19	666
Cavanagh Jb	177 0.9×	79 0.7×	242 2.2×	158 1.6×	22 0.2×	15	729
E. J. Hinsman	141 0.7×	63 0.6×	139 1.3×	99 1.0×	33 0.4×	28	667
Yun‐Hui Yang	244 1.2×	46 0.4×	117 1.1×	67 0.7×	34 0.4×	25	642
Noriko Shinjyo	248 1.2×	86 0.8×	96 0.9×	179 1.8×	46 0.5×	25	791
Akshay Gupta	289 1.4×	36 0.3×	102 0.9×	189 1.9×	27 0.3×	23	759
Argelia E. Rojas-Mayorquín	186 0.9×	23 0.2×	140 1.3×	74 0.7×	32 0.3×	22	566
Xuying Li	195 0.9×	74 0.7×	150 1.4×	56 0.6×	31 0.3×	54	760
Deepa B. Rao	126 0.6×	25 0.2×	93 0.8×	89 0.9×	22 0.2×	39	769

Countries citing papers authored by Natalie Allcock

Since Specialization

Citations

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

Fields of papers citing papers by Natalie Allcock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Allcock

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

All Works

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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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