Emma Neilson

2.8k total citations · 1 hit paper
6 papers, 602 citations indexed

About

Emma Neilson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Emma Neilson has authored 6 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Emma Neilson's work include Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Schizophrenia research and treatment (2 papers). Emma Neilson is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Schizophrenia research and treatment (2 papers). Emma Neilson collaborates with scholars based in United Kingdom, United States and Australia. Emma Neilson's co-authors include Heather C. Whalley, Stephen M. Lawrie, Andrew M. McIntosh, Simon R. Cox, Ian J. Deary, Xueyi Shen, Lianne M. Reus, Stuart Hunter, Mathew A. Harris and Clara Alloza and has published in prestigious journals such as Biological Psychiatry, Cerebral Cortex and Psychological Medicine.

In The Last Decade

Emma Neilson

6 papers receiving 596 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants

2018 483 citations Stuart J. Ritchie, Simon R. Cox et al. Cerebral Cortex profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma Neilson United Kingdom	6	330	182	97	97	89	6	602
Clara Alloza United Kingdom	9	336 1.0×	191 1.0×	106 1.1×	110 1.1×	66 0.7×	9	609
Lianne M. Reus Netherlands	10	386 1.2×	203 1.1×	136 1.4×	172 1.8×	88 1.0×	23	802
Reva Stidd United States	9	408 1.2×	207 1.1×	110 1.1×	135 1.4×	77 0.9×	10	657
I.L.C. van Soelen Netherlands	12	348 1.1×	224 1.2×	130 1.3×	62 0.6×	68 0.8×	15	589
Marinka M. G. Koenis Netherlands	12	253 0.8×	125 0.7×	108 1.1×	74 0.8×	40 0.4×	19	464
Sebastian Ganger Austria	17	298 0.9×	192 1.1×	82 0.8×	77 0.8×	45 0.5×	18	691
Gabriëlla A.M. Blokland United States	15	482 1.5×	218 1.2×	214 2.2×	118 1.2×	99 1.1×	28	788
René S. Kahn Netherlands	7	270 0.8×	126 0.7×	65 0.7×	116 1.2×	41 0.5×	7	420
Helen L. Alderson United Kingdom	10	377 1.1×	144 0.8×	95 1.0×	84 0.9×	42 0.5×	11	757
Christine L. Brandt Norway	14	402 1.2×	177 1.0×	140 1.4×	200 2.1×	85 1.0×	18	668

Countries citing papers authored by Emma Neilson

Since Specialization

Citations

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

Fields of papers citing papers by Emma Neilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Neilson

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

All Works

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6 of 6 papers shown

1.

Bejder, Lars, et al.. (2021). Observations of parturition in humpback whales (Megaptera novaeangliae) and occurrence of escorting and competitive behavior around birthing females. Marine Mammal Science. 38(2). 408–432. 14 indexed citations

2.

Neilson, Emma, Xueyi Shen, Simon R. Cox, et al.. (2019). Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank. Biological Psychiatry. 86(7). 536–544. 44 indexed citations

3.

Ritchie, Stuart J., Simon R. Cox, Xueyi Shen, et al.. (2018). Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants. Cerebral Cortex. 28(8). 2959–2975. 483 indexed citations breakdown →

4.

Neilson, Emma, C. Bois, Toni‐Kim Clarke, et al.. (2017). Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study. Psychological Medicine. 48(9). 1532–1539. 18 indexed citations

5.

Neilson, Emma, Catherine Bois, Jude Gibson, et al.. (2016). Effects of environmental risks and polygenic loading for schizophrenia on cortical thickness. Schizophrenia Research. 184. 128–136. 36 indexed citations

6.

Barker, Victoria, C. Bois, Emma Neilson, et al.. (2016). Childhood adversity and hippocampal and amygdala volumes in a population at familial high risk of schizophrenia. Schizophrenia Research. 175(1-3). 42–47. 7 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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