Nina Gorlé

599 total citations
8 papers, 452 citations indexed

About

Nina Gorlé is a scholar working on Physiology, Neurology and Biological Psychiatry. According to data from OpenAlex, Nina Gorlé has authored 8 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Neurology and 3 papers in Biological Psychiatry. Recurrent topics in Nina Gorlé's work include Alzheimer's disease research and treatments (5 papers), Tryptophan and brain disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Nina Gorlé is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Tryptophan and brain disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Nina Gorlé collaborates with scholars based in Belgium, Serbia and United States. Nina Gorlé's co-authors include Roosmarijn E. Vandenbroucke, Claude Libert, Elien Van Wonterghem, Caroline Van Cauwenberghe, Sriram Balusu, Marjana Brkić, Selma Kanazir, Inge Van Hove, Griet Van Imschoot and Charysse Vandendriessche and has published in prestigious journals such as Journal of Neuroscience, Frontiers in Immunology and Brain Behavior and Immunity.

In The Last Decade

Nina Gorlé

8 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Gorlé Belgium 8 176 171 151 69 64 8 452
Rekha Bhat India 7 291 1.7× 192 1.1× 160 1.1× 47 0.7× 47 0.7× 21 575
Justin Lin United States 7 195 1.1× 209 1.2× 156 1.0× 76 1.1× 46 0.7× 13 697
Ilaria Carbone Italy 15 238 1.4× 145 0.8× 212 1.4× 132 1.9× 32 0.5× 18 583
Mordechai Slae Israel 10 90 0.5× 128 0.7× 199 1.3× 26 0.4× 56 0.9× 26 552
Malvika Gupta India 6 46 0.3× 129 0.8× 223 1.5× 51 0.7× 44 0.7× 6 446
Hugo Garneau Canada 10 150 0.9× 117 0.7× 156 1.0× 93 1.3× 11 0.2× 12 482
Daisuke Noto Japan 12 104 0.6× 108 0.6× 332 2.2× 109 1.6× 18 0.3× 20 636
Wen Huang China 16 134 0.8× 242 1.4× 320 2.1× 14 0.2× 46 0.7× 36 725
Barbara Gisevius Germany 7 62 0.4× 83 0.5× 138 0.9× 34 0.5× 27 0.4× 16 329
Sandip Ashok Sonar India 11 62 0.4× 121 0.7× 139 0.9× 28 0.4× 27 0.4× 18 520

Countries citing papers authored by Nina Gorlé

Since Specialization
Citations

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

Fields of papers citing papers by Nina Gorlé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gorlé

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

All Works

8 of 8 papers shown
1.
Xie, Junhua, Nina Gorlé, Charysse Vandendriessche, et al.. (2021). Low-grade peripheral inflammation affects brain pathology in the AppNL-G-Fmouse model of Alzheimer’s disease. Acta Neuropathologica Communications. 9(1). 163–163. 44 indexed citations
2.
Gorlé, Nina, et al.. (2021). Helicobacter and the Potential Role in Neurological Disorders: There Is More Than Helicobacter pylori. Frontiers in Immunology. 11. 584165–584165. 31 indexed citations
3.
Zhong, Zifu, João Paulo Portela Catani, Séan Mc Cafferty, et al.. (2019). Immunogenicity and Protection Efficacy of a Naked Self-Replicating mRNA-Based Zika Virus Vaccine. Vaccines. 7(3). 96–96. 55 indexed citations
4.
Gorlé, Nina & Roosmarijn E. Vandenbroucke. (2019). Interferons: A molecular switch between damage and repair in ageing and Alzheimer’s disease. Mechanisms of Ageing and Development. 183. 111148–111148. 9 indexed citations
5.
Steeland, Sophie, Nina Gorlé, Charysse Vandendriessche, et al.. (2018). Counteracting the effects of TNF receptor‐1 has therapeutic potential in Alzheimer's disease. EMBO Molecular Medicine. 10(4). 90 indexed citations
6.
Gorlé, Nina, Charysse Vandendriessche, Sriram Balusu, et al.. (2017). The choroid plexus epithelium as a novel player in the stomach-brain axis during Helicobacter infection. Brain Behavior and Immunity. 69. 35–47. 34 indexed citations
7.
Gorlé, Nina, Caroline Van Cauwenberghe, Claude Libert, & Roosmarijn E. Vandenbroucke. (2016). The effect of aging on brain barriers and the consequences for Alzheimer’s disease development. Mammalian Genome. 27(7-8). 407–420. 45 indexed citations
8.
Brkić, Marjana, Sriram Balusu, Elien Van Wonterghem, et al.. (2015). Amyloid β Oligomers Disrupt Blood–CSF Barrier Integrity by Activating Matrix Metalloproteinases. Journal of Neuroscience. 35(37). 12766–12778. 144 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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