Eleanor Grant

660 total citations
8 papers, 412 citations indexed

About

Eleanor Grant is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Eleanor Grant has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Eleanor Grant's work include Neuroscience and Neuropharmacology Research (4 papers), Autoimmune Neurological Disorders and Treatments (3 papers) and Retinal Development and Disorders (3 papers). Eleanor Grant is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Autoimmune Neurological Disorders and Treatments (3 papers) and Retinal Development and Disorders (3 papers). Eleanor Grant collaborates with scholars based in United Kingdom, United States and Spain. Eleanor Grant's co-authors include Zoltán Molnár, Anna Hoerder‐Suabedissen, S. Hayashi, Patrick O. Kanold, Yongsoo Kim, Zachary T. Nolan, Francisco Clascá, Sarada Viswanathan, Sarosh R. Irani and Patrick Waters and has published in prestigious journals such as Brain, The Journal of Comparative Neurology and Annals of Neurology.

In The Last Decade

Eleanor Grant

8 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleanor Grant United Kingdom	8	207	142	118	110	66	8	412
Kinga Bercsényi United Kingdom	8	272 1.3×	64 0.5×	187 1.6×	148 1.3×	89 1.3×	8	460
Yuki Oichi Japan	5	247 1.2×	99 0.7×	49 0.4×	146 1.3×	51 0.8×	15	407
Deanna M. Marchionini United States	13	291 1.4×	88 0.6×	106 0.9×	284 2.6×	69 1.0×	20	557
Ann K. Wright United Kingdom	12	142 0.7×	69 0.5×	46 0.4×	182 1.7×	41 0.6×	19	438
Teresa Guillamón-Vivancos Spain	8	205 1.0×	150 1.1×	34 0.3×	133 1.2×	79 1.2×	13	414
Rachel Babij United States	14	488 2.4×	139 1.0×	398 3.4×	116 1.1×	55 0.8×	19	700
Ryan J. Kast United States	8	130 0.6×	46 0.3×	38 0.3×	156 1.4×	38 0.6×	10	304
Jeffrey Politsky United States	6	255 1.2×	192 1.4×	209 1.8×	121 1.1×	29 0.4×	6	493
Chun Hung Chan China	6	186 0.9×	42 0.3×	34 0.3×	226 2.1×	134 2.0×	11	451
Amanda M Brown United States	11	255 1.2×	91 0.6×	140 1.2×	134 1.2×	32 0.5×	25	479

Countries citing papers authored by Eleanor Grant

Since Specialization

Citations

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

Fields of papers citing papers by Eleanor Grant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleanor Grant

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

All Works

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8 of 8 papers shown

1.

Grant, Eleanor, Andrew G. Murchison, Sophie Binks, et al.. (2024). Magnetic Resonance Imaging Characteristics of LGI1-Antibody and CASPR2-Antibody Encephalitis. JAMA Neurology. 81(5). 525–525. 8 indexed citations

2.

Grant, Eleanor, et al.. (2022). Cross‐hierarchical plasticity of corticofugal projections to dLGN after neonatal monocular enucleation. The Journal of Comparative Neurology. 530(7). 978–997. 9 indexed citations

3.

Varley, James, Magnus Andersson, Eleanor Grant, et al.. (2020). Absence of Neuronal Autoantibodies in Neuropsychiatric Systemic Lupus Erythematosus. Annals of Neurology. 88(6). 1244–1250. 16 indexed citations

4.

Binks, Sophie, James Varley, Wanseon Lee, et al.. (2018). Distinct HLA associations of LGI1 and CASPR2-antibody diseases. Brain. 141(8). 2263–2271. 103 indexed citations

5.

Hoerder‐Suabedissen, Anna, S. Hayashi, Zachary T. Nolan, et al.. (2018). Subset of Cortical Layer 6b Neurons Selectively Innervates Higher Order Thalamic Nuclei in Mice. Cerebral Cortex. 28(5). 1882–1897. 93 indexed citations

6.

Hoerder‐Suabedissen, Anna, S. Hayashi, Alexander Jeans, et al.. (2018). Cell-Specific Loss of SNAP25 from Cortical Projection Neurons Allows Normal Development but Causes Subsequent Neurodegeneration. Cerebral Cortex. 29(5). 2148–2159. 36 indexed citations

7.

Grant, Eleanor, Anna Hoerder‐Suabedissen, & Zoltán Molnár. (2016). The Regulation of Corticofugal Fiber Targeting by Retinal Inputs. Cerebral Cortex. 26(3). 1336–1348. 56 indexed citations

8.

Grant, Eleanor, Anna Hoerder‐Suabedissen, & Zoltán Molnár. (2012). Development of the Corticothalamic Projections. Frontiers in Neuroscience. 6. 53–53. 91 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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