Oliver Freeman

700 total citations
10 papers, 399 citations indexed

About

Oliver Freeman is a scholar working on Physiology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Oliver Freeman has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Oliver Freeman's work include Pain Mechanisms and Treatments (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Oliver Freeman is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Oliver Freeman collaborates with scholars based in United Kingdom, New Zealand and South Korea. Oliver Freeman's co-authors include Giovanna R. Mallucci, Rasmus S. Petersen, Natalie J. Gardiner, Robin J.M. Franklin, Staffan Holmqvist, Lis de Weerd, Nicholas Verity, Heather Smith, Daniel T. Hughes and Joseph E. Hayes and has published in prestigious journals such as Neuron, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Oliver Freeman

10 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Freeman United Kingdom 8 149 148 134 104 82 10 399
Chrysoula Dioli Portugal 9 156 1.0× 160 1.1× 57 0.4× 95 0.9× 54 0.7× 14 401
Delia Ramírez Argentina 11 96 0.6× 193 1.3× 132 1.0× 138 1.3× 29 0.4× 12 467
Lauriane Ramet Canada 6 119 0.8× 212 1.4× 102 0.8× 134 1.3× 28 0.3× 7 487
Yina Dong United States 6 106 0.7× 201 1.4× 67 0.5× 246 2.4× 89 1.1× 7 402
Yasufumi Sakakibara Japan 12 141 0.9× 109 0.7× 75 0.6× 111 1.1× 44 0.5× 23 382
Balázs A. Györffy Hungary 11 119 0.8× 112 0.8× 173 1.3× 106 1.0× 27 0.3× 15 395
Olena Korvatska United States 8 102 0.7× 133 0.9× 127 0.9× 70 0.7× 22 0.3× 11 398
Adrián Martín‐Segura Spain 6 117 0.8× 179 1.2× 61 0.5× 58 0.6× 49 0.6× 9 424
José Morales‐Corraliza United States 13 237 1.6× 189 1.3× 96 0.7× 94 0.9× 50 0.6× 16 485
Laura López-Molina Spain 6 126 0.8× 167 1.1× 82 0.6× 135 1.3× 33 0.4× 8 343

Countries citing papers authored by Oliver Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Freeman

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

All Works

10 of 10 papers shown
1.
Rueda‐Carrasco, Javier, Dimitra Sokolova, Sang‐Eun Lee, et al.. (2023). Microglia‐synapse engulfment via PtdSer‐TREM2 ameliorates neuronal hyperactivity in Alzheimer's disease models. The EMBO Journal. 42(19). e113246–e113246. 58 indexed citations
2.
Wang, Tingyan, David A. Smith, Cori Campbell, et al.. (2021). Longitudinal Analysis of the Utility of Liver Biochemistry as Prognostic Markers in Hospitalized Patients With Corona Virus Disease 2019. Hepatology Communications. 5(9). 1586–1604. 6 indexed citations
3.
Wang, Tingyan, David A. Smith, Cori Campbell, et al.. (2021). Hepatitis B virus (HBV) viral load, liver and renal function in adults treated with tenofovir disoproxil fumarate (TDF) vs. untreated: a retrospective longitudinal UK cohort study. BMC Infectious Diseases. 21(1). 610–610. 8 indexed citations
4.
Smith, Heather, Oliver Freeman, Adrian J. Butcher, et al.. (2020). Astrocyte Unfolded Protein Response Induces a Specific Reactivity State that Causes Non-Cell-Autonomous Neuronal Degeneration. Neuron. 105(5). 855–866.e5. 149 indexed citations
6.
Freeman, Oliver, Mathew H. Evans, Garth J. S. Cooper, Rasmus S. Petersen, & Natalie J. Gardiner. (2016). Thalamic amplification of sensory input in experimental diabetes. European Journal of Neuroscience. 44(1). 1779–1786. 7 indexed citations
7.
Gardiner, Natalie J. & Oliver Freeman. (2016). Can Diabetic Neuropathy Be Modeled In Vitro?. International review of neurobiology. 127. 53–87. 7 indexed citations
8.
Freeman, Oliver & Giovanna R. Mallucci. (2016). The UPR and synaptic dysfunction in neurodegeneration. Brain Research. 1648(Pt B). 530–537. 48 indexed citations
9.
Freeman, Oliver, Richard D. Unwin, Andrew W. Dowsey, et al.. (2015). Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental Diabetic Neuropathy. Diabetes. 65(1). 228–238. 75 indexed citations
10.
Bale, Michael R., et al.. (2013). Low-Dimensional Sensory Feature Representation by Trigeminal Primary Afferents. Journal of Neuroscience. 33(29). 12003–12012. 27 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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