Fatme Seval Ismail

684 total citations
25 papers, 199 citations indexed

About

Fatme Seval Ismail is a scholar working on Neurology, Neurology and Molecular Biology. According to data from OpenAlex, Fatme Seval Ismail has authored 25 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 10 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Fatme Seval Ismail's work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Autoimmune Neurological Disorders and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Fatme Seval Ismail is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Autoimmune Neurological Disorders and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Fatme Seval Ismail collaborates with scholars based in Germany, Switzerland and United States. Fatme Seval Ismail's co-authors include Pedro M. Faustmann, Nico Melzer, Stoyan Popkirov, Christian G. Bien, Jörg Wellmer, Wenke Grönheit, Zahra Moinfar, Sven G. Meuth, Eckart Förster and Olga Simova and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and European Journal of Pharmacology.

In The Last Decade

Fatme Seval Ismail

22 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatme Seval Ismail Germany 9 95 53 49 43 23 25 199
Ulrike Köck Austria 6 54 0.6× 68 1.3× 32 0.7× 42 1.0× 22 1.0× 7 254
Aaron Schwab United States 8 80 0.8× 90 1.7× 62 1.3× 77 1.8× 9 0.4× 19 256
Edwin Jabbari United Kingdom 7 90 0.9× 42 0.8× 26 0.5× 36 0.8× 11 0.5× 16 163
Anaïs Thouin United Kingdom 6 108 1.1× 20 0.4× 46 0.9× 108 2.5× 50 2.2× 7 281
Francesca Garretti United States 6 143 1.5× 159 3.0× 80 1.6× 60 1.4× 8 0.3× 6 277
Gaëlle Gillet Belgium 5 115 1.2× 81 1.5× 22 0.4× 123 2.9× 5 0.2× 6 276
Andre Dik Germany 7 56 0.6× 19 0.4× 21 0.4× 27 0.6× 25 1.1× 13 108
Matias Ryding Denmark 9 191 2.0× 34 0.6× 74 1.5× 107 2.5× 9 0.4× 12 294
Konstantinos Kilidireas Greece 6 61 0.6× 20 0.4× 18 0.4× 73 1.7× 22 1.0× 8 209
Jennifer E. Tobin United States 7 41 0.4× 32 0.6× 30 0.6× 62 1.4× 12 0.5× 7 248

Countries citing papers authored by Fatme Seval Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Fatme Seval Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatme Seval Ismail. 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 Fatme Seval Ismail. The network helps show where Fatme Seval Ismail may publish in the future.

Co-authorship network of co-authors of Fatme Seval Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Fatme Seval Ismail. A scholar is included among the top collaborators of Fatme Seval Ismail 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 Fatme Seval Ismail. Fatme Seval Ismail 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.
2.
Ismail, Fatme Seval, Marco Gallus, Sven G. Meuth, et al.. (2024). Current and Future Roles of Chimeric Antigen Receptor T-Cell Therapy in Neurology. JAMA Neurology. 82(1). 93–93. 12 indexed citations
3.
Ismail, Fatme Seval, et al.. (2024). Microglia as potential key regulators in viral-induced neuroinflammation. Frontiers in Cellular Neuroscience. 18. 1426079–1426079. 4 indexed citations
4.
5.
Ismail, Fatme Seval, et al.. (2023). Tiagabine and zonisamide differentially regulate the glial properties in an astrocyte-microglia co-culture model of inflammation. Naunyn-Schmiedeberg s Archives of Pharmacology. 396(11). 3253–3267. 3 indexed citations
6.
Faustmann, Pedro M., et al.. (2023). Experimental Investigations of Monomethyl and Dimethyl Fumarate in an Astrocyte-Microglia Co-Culture Model of Inflammation. Pharmacology. 108(2). 188–198. 5 indexed citations
7.
Ismail, Fatme Seval & Pedro M. Faustmann. (2023). The potential role of astroglial GABAA receptors in autoimmune encephalitis associated with GABAA receptor antibodies and seizures. Epilepsia Open. 8(2). 692–701. 3 indexed citations
8.
Ismail, Fatme Seval, et al.. (2022). GABAA Receptor Autoantibodies Decrease GABAergic Synaptic Transmission in the Hippocampal CA3 Network. International Journal of Molecular Sciences. 23(7). 3707–3707. 6 indexed citations
9.
Bien, Christian G., Corinna Bien, Müjgan Dogan Onugoren, et al.. (2021). Correction to: Routine diagnostics for neural antibodies, clinical correlates, treatment and functional outcome. Journal of Neurology. 268(8). 3056–3057. 1 indexed citations
10.
Faustmann, Pedro M., et al.. (2021). Anti-inflammatory properties of lacosamide in an astrocyte-microglia co-culture model of inflammation. European Journal of Pharmacology. 915. 174696–174696. 11 indexed citations
11.
Ismail, Fatme Seval, Sven G. Meuth, & Nico Melzer. (2021). The role of dendritic cells and their interactions in the pathogenesis of antibody-associated autoimmune encephalitis. Journal of Neuroinflammation. 18(1). 260–260. 4 indexed citations
12.
13.
Ismail, Fatme Seval, et al.. (2021). Pharmacological Investigations in Glia Culture Model of Inflammation. Frontiers in Cellular Neuroscience. 15. 805755–805755. 9 indexed citations
14.
Bien, Christian G., Corinna Bien, Müjgan Dogan Onugoren, et al.. (2020). Routine diagnostics for neural antibodies, clinical correlates, treatment and functional outcome. Journal of Neurology. 267(7). 2101–2114. 37 indexed citations
15.
Ismail, Fatme Seval & Pedro M. Faustmann. (2020). Astrocytes and their potential role in anti-NMDA receptor encephalitis. Medical Hypotheses. 139. 109612–109612. 8 indexed citations
16.
Seidel, Sabine, Agnieszka Korfel, Thomas E. Kowalski, et al.. (2019). HDMTX-based induction therapy followed by consolidation with conventional systemic chemotherapy and intraventricular therapy (modified Bonn protocol) in primary CNS lymphoma: a monocentric retrospective analysis. SHILAP Revista de lepidopterología. 1(1). 17–17. 12 indexed citations
17.
Popkirov, Stoyan, et al.. (2017). Progressive hippocampal sclerosis after viral encephalitis: Potential role of NMDA receptor antibodies. Seizure. 51. 6–8. 18 indexed citations
18.
Ismail, Fatme Seval, Björn Enzi, Christian Boy, et al.. (2017). Relapsing polychondritis as an unusual cause of multiple cranial nerve palsies—A Case report. Muscle & Nerve. 56(1). E3–E4.
19.
Ismail, Fatme Seval, Zahra Moinfar, Nora Prochnow, et al.. (2016). Dexamethasone and levetiracetam reduce hetero-cellular gap-junctional coupling between F98 glioma cells and glial cells in vitro. Journal of Neuro-Oncology. 131(3). 469–476. 12 indexed citations
20.
Ismail, Fatme Seval, Stoyan Popkirov, Jörg Wellmer, & Wenke Grönheit. (2015). Faciobrachio-crural dystonic seizures in LGI1 limbic encephalitis: A treatable cause of falls. Neurology Neuroimmunology & Neuroinflammation. 2(5). e146–e146. 8 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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