Ellen R. Gillespie

686 total citations · 1 hit paper
7 papers, 489 citations indexed

About

Ellen R. Gillespie is a scholar working on Pathology and Forensic Medicine, Neurology and Immunology. According to data from OpenAlex, Ellen R. Gillespie has authored 7 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Neurology and 3 papers in Immunology. Recurrent topics in Ellen R. Gillespie's work include Spinal Cord Injury Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Nerve injury and regeneration (2 papers). Ellen R. Gillespie is often cited by papers focused on Spinal Cord Injury Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Nerve injury and regeneration (2 papers). Ellen R. Gillespie collaborates with scholars based in Australia, United Kingdom and United States. Ellen R. Gillespie's co-authors include Marc J. Ruitenberg, Abi G. Yates, Daniel C. Anthony, Kelli P. A. MacDonald, Jana Vukovic, Emily F. Willis, Quan Nguyen, Wayne A. Schroder, Stefan Rose‐John and Perry F. Bartlett and has published in prestigious journals such as Cell, Brain Behavior and Immunity and Journal of Neurotrauma.

In The Last Decade

Ellen R. Gillespie

7 papers receiving 487 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.

Repopulating Microglia Promote Brain Repair in an IL-6-Dependent Manner

2020 370 citations Emily F. Willis, Kelli P. A. MacDonald et al. Cell profile →

Peers

Ellen R. Gillespie

NEURO

IMMUN

MB

NEURO

PFM

Benjamin D. Clarkson United States

Katherine S. Given United States

Z. Liu China

Hilmar R. J. van Weering Netherlands

Nina Fainberg United States

Wiebke Mildenberger Switzerland

Siranush Sargsyan United States

Francesco Boato Germany

Rosella Cavarretta Italy

Teemu Paavilainen Finland

Benjamin D. Clarkson United States

Ellen R. Gillespie

238 ×0.9

NEURO

249 ×1.8

IMMUN

139 ×1.0

MB

107 ×1.0

NEURO

64 ×0.9

PFM

Citations per year, relative to Ellen R. Gillespie Ellen R. Gillespie (= 1×) peers Benjamin D. Clarkson

Countries citing papers authored by Ellen R. Gillespie

Since Specialization

Citations

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

Fields of papers citing papers by Ellen R. Gillespie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen R. Gillespie. 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 Ellen R. Gillespie. The network helps show where Ellen R. Gillespie may publish in the future.

Co-authorship network of co-authors of Ellen R. Gillespie

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

All Works

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7 of 7 papers shown

1.

Gillespie, Ellen R., Laura F. Grice, David A. Brown, et al.. (2024). Single-cell RNA sequencing reveals peripheral blood leukocyte responses to spinal cord injury in mice with humanised immune systems. Journal of Neuroinflammation. 21(1). 63–63. 2 indexed citations

2.

Saez, Natalie J., et al.. (2023). Genetic or Pharmacological Ablation of Acid-Sensing Ion Channel 1a (ASIC1a) Is Not Neuroprotective in a Mouse Model of Spinal Cord Injury. Journal of Neurotrauma. 41(9-10). 1007–1019. 2 indexed citations

3.

Willis, Emily F., Ellen R. Gillespie, Adrian W. Zuercher, et al.. (2022). Intravenous immunoglobulin (IVIG) promotes brain repair and improves cognitive outcomes after traumatic brain injury in a FcγRIIB receptor-dependent manner. Brain Behavior and Immunity. 109. 37–50. 3 indexed citations

4.

Yates, Abi G., et al.. (2021). Acute IL-1RA treatment suppresses the peripheral and central inflammatory response to spinal cord injury. Journal of Neuroinflammation. 18(1). 15–15. 28 indexed citations

5.

Gillespie, Ellen R. & Marc J. Ruitenberg. (2020). Neuroinflammation after SCI: Current Insights and Therapeutic Potential of Intravenous Immunoglobulin. Journal of Neurotrauma. 39(3-4). 320–332. 12 indexed citations

6.

Willis, Emily F., Kelli P. A. MacDonald, Quan Nguyen, et al.. (2020). Repopulating Microglia Promote Brain Repair in an IL-6-Dependent Manner. Cell. 180(5). 833–846.e16. 370 indexed citations breakdown →

7.

Brennan, Faith H., Ellen R. Gillespie, Linda V. Blomster, et al.. (2019). Complement receptor C3aR1 controls neutrophil mobilization following spinal cord injury through physiological antagonism of CXCR2. JCI Insight. 4(9). 72 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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