Eric J. Hill

1.6k total citations
45 papers, 1.1k citations indexed

About

Eric J. Hill is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Eric J. Hill has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Eric J. Hill's work include Neuroscience and Neuropharmacology Research (13 papers), Neuroscience and Neural Engineering (10 papers) and Alzheimer's disease research and treatments (10 papers). Eric J. Hill is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neuroscience and Neural Engineering (10 papers) and Alzheimer's disease research and treatments (10 papers). Eric J. Hill collaborates with scholars based in United Kingdom, United States and New Zealand. Eric J. Hill's co-authors include David A. Nagel, Michael D. Coleman, H. Rheinallt Parri, James Brown, John D. O’Neil, Helen R. Griffiths, Kevin G. Moffat, Thomas K. Karikari, Sarah Aldred and Srikanth Bellary and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Macromolecules.

In The Last Decade

Eric J. Hill

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Hill United Kingdom 22 372 326 295 224 105 45 1.1k
David A. Nagel United Kingdom 19 361 1.0× 236 0.7× 260 0.9× 167 0.7× 80 0.8× 35 818
Fenglian Xu Canada 18 274 0.7× 278 0.9× 164 0.6× 131 0.6× 69 0.7× 45 974
Luísa Cortes Portugal 22 619 1.7× 454 1.4× 192 0.7× 170 0.8× 199 1.9× 43 1.5k
Seung Eun Lee South Korea 19 548 1.5× 283 0.9× 177 0.6× 149 0.7× 130 1.2× 88 1.3k
Si Chen China 21 389 1.0× 220 0.7× 241 0.8× 75 0.3× 142 1.4× 100 1.4k
Marilda da Cruz Fernandes Brazil 22 425 1.1× 187 0.6× 186 0.6× 125 0.6× 108 1.0× 52 1.5k
Yang He China 24 525 1.4× 206 0.6× 258 0.9× 125 0.6× 166 1.6× 92 2.0k
Nicholas M. Radio United States 18 399 1.1× 284 0.9× 162 0.5× 157 0.7× 37 0.4× 25 1.5k
André Ricardo Massensini Brazil 20 570 1.5× 400 1.2× 174 0.6× 160 0.7× 168 1.6× 58 1.5k

Countries citing papers authored by Eric J. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Hill. 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 Eric J. Hill. The network helps show where Eric J. Hill may publish in the future.

Co-authorship network of co-authors of Eric J. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Hill. A scholar is included among the top collaborators of Eric J. Hill 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 Eric J. Hill. Eric J. Hill 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.
Bakker, Saskia E., Eric J. Hill, Tiziana Borsello, et al.. (2025). Parkinson’s associated protein DJ-1 regulates intercellular communication via extracellular vesicles in oxidative stress. Cell Death Discovery. 11(1). 539–539.
2.
Hill, Eric J., et al.. (2024). Inferring structure of cortical neuronal networks from activity data: A statistical physics approach. PNAS Nexus. 4(1). pgae565–pgae565. 2 indexed citations
3.
Finelli, Mattéa J., S. Allen, S Prosser, et al.. (2024). Altered metabolic function induced by Aβ‐oligomers and PSEN1 mutations in iPSC ‐derived astrocytes. Journal of Neurochemistry. 169(1). e16267–e16267. 1 indexed citations
4.
Butcher, J.B., Robert E. Sims, Stuart I. Jenkins, et al.. (2022). A requirement for astrocyte IP3R2 signaling for whisker experience-dependent depression and homeostatic upregulation in the mouse barrel cortex. Frontiers in Cellular Neuroscience. 16. 905285–905285. 6 indexed citations
5.
Hill, Eric J., et al.. (2022). The role of ADAM10 in astrocytes: Implications for Alzheimer’s disease. Frontiers in Aging Neuroscience. 14. 1056507–1056507. 10 indexed citations
6.
Parri, H. Rheinallt, et al.. (2022). The effect of citalopram treatment on amyloid-β precursor protein processing and oxidative stress in human hNSC-derived neurons. Translational Psychiatry. 12(1). 285–285. 9 indexed citations
7.
El-Tamer, Ayman, David A. Nagel, Anastasia Koroleva, et al.. (2020). Development of two-photon polymerised scaffolds for optical interrogation and neurite guidance of human iPSC-derived cortical neuronal networks. Lab on a Chip. 20(10). 1792–1806. 21 indexed citations
8.
George, Julian H., David A. Nagel, Eric J. Hill, et al.. (2018). A closer look at neuron interaction with track-etched microporous membranes. Scientific Reports. 8(1). 15552–15552. 21 indexed citations
9.
Nagel, David A., et al.. (2018). In vitro Models for Seizure-Liability Testing Using Induced Pluripotent Stem Cells. Frontiers in Neuroscience. 12. 590–590. 61 indexed citations
10.
Nagel, David A., et al.. (2015). Amyloid β 1-42 Induces Hypometabolism in Human Stem Cell-Derived Neuron and Astrocyte Networks. Journal of Cerebral Blood Flow & Metabolism. 35(8). 1348–1357. 31 indexed citations
11.
Nagel, David A., et al.. (2014). The effects of the fungicides fenhexamid and myclobutanil on SH-SY5Y and U-251 MG human cell lines. Environmental Toxicology and Pharmacology. 38(3). 968–976. 7 indexed citations
12.
Hill, Eric J., David A. Nagel, John D. O’Neil, et al.. (2013). Effects of Lithium and Valproic Acid on Gene Expression and Phenotypic Markers in an NT2 Neurosphere Model of Neural Development. PLoS ONE. 8(3). e58822–e58822. 18 indexed citations
13.
Coleman, Michael D., et al.. (2012). A Preliminary Investigation into the Impact of a Pesticide Combination on Human Neuronal and Glial Cell Lines In Vitro. PLoS ONE. 7(8). e42768–e42768. 40 indexed citations
14.
Hill, Eric J., et al.. (2012). NT2 Derived Neuronal and Astrocytic Network Signalling. PLoS ONE. 7(5). e36098–e36098. 31 indexed citations
15.
Hill, Eric J., et al.. (2010). Single-Cell ELISA and Flow Cytometry as Methods for Highlighting Potential Neuronal and Astrocytic Toxicant Specificity. Neurotoxicity Research. 19(3). 472–483. 10 indexed citations
16.
Hill, Eric J., et al.. (2009). Evaluation of the Importance of Astrocytes When Screening for Acute Toxicity in Neuronal Cell Systems. Neurotoxicity Research. 17(2). 103–113. 12 indexed citations
17.
Hill, Eric J., et al.. (2008). Differentiating human NT2/D1 neurospheres as a versatile in vitro 3D model system for developmental neurotoxicity testing. Toxicology. 249(2-3). 243–250. 39 indexed citations
18.
Hill, Eric J. & Ann B. Vernallis. (2008). Polarized secretion of Leukemia Inhibitory Factor. BMC Cell Biology. 9(1). 53–53. 7 indexed citations
19.
Hill, Eric J., et al.. (2007). Differential enrichment of simple sequence repeats in selected Alzheimer-associated genes.. PubMed. 53(4). 23–31. 3 indexed citations
20.
Hill, Eric J., et al.. (2007). Development of a neurotoxicity test-system, using human post-mitotic, astrocytic and neuronal cell lines in co-culture. Toxicology in Vitro. 21(7). 1241–1246. 23 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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