Nese Sinmaz

670 total citations
8 papers, 493 citations indexed

About

Nese Sinmaz is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Nese Sinmaz has authored 8 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 3 papers in Pathology and Forensic Medicine and 2 papers in Rheumatology. Recurrent topics in Nese Sinmaz's work include Peripheral Neuropathies and Disorders (5 papers), Autoimmune Neurological Disorders and Treatments (4 papers) and Multiple Sclerosis Research Studies (3 papers). Nese Sinmaz is often cited by papers focused on Peripheral Neuropathies and Disorders (5 papers), Autoimmune Neurological Disorders and Treatments (4 papers) and Multiple Sclerosis Research Studies (3 papers). Nese Sinmaz collaborates with scholars based in Australia, United Kingdom and United States. Nese Sinmaz's co-authors include Russell C. Dale, Fabienne Brilot, Sudarshini Ramanathan, Vera Merheb, Karrnan Pathmanandavel, David R. Booth, Jean Starling, Esther Tantsis, Victor S.C. Fung and Michael Barnett and has published in prestigious journals such as Biological Psychiatry, Annals of the New York Academy of Sciences and Journal of Neuroinflammation.

In The Last Decade

Nese Sinmaz

8 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nese Sinmaz Australia 7 389 275 147 60 56 8 493
Patrick Peschl Austria 7 316 0.8× 324 1.2× 124 0.8× 80 1.3× 75 1.3× 10 496
Jessica Sagen United States 7 578 1.5× 548 2.0× 200 1.4× 89 1.5× 77 1.4× 13 790
Rebecca Selter Germany 6 246 0.6× 289 1.1× 100 0.7× 26 0.4× 69 1.2× 6 403
Markus Breu Austria 10 238 0.6× 216 0.8× 74 0.5× 39 0.7× 37 0.7× 21 390
Petra Nytrová Czechia 11 233 0.6× 328 1.2× 118 0.8× 88 1.5× 75 1.3× 27 453
Damiano Baroncini Italy 11 187 0.5× 212 0.8× 33 0.2× 76 1.3× 37 0.7× 16 371
Mareike Schimmel Germany 8 310 0.8× 206 0.7× 79 0.5× 46 0.8× 39 0.7× 28 424
Klaus-Peter Wandinger Germany 6 160 0.4× 126 0.5× 75 0.5× 36 0.6× 92 1.6× 10 310
Koji Kajiyama Japan 7 199 0.5× 226 0.8× 62 0.4× 88 1.5× 42 0.8× 8 328
Yasumasa Ohyagi Japan 7 208 0.5× 278 1.0× 111 0.8× 74 1.2× 61 1.1× 19 383

Countries citing papers authored by Nese Sinmaz

Since Specialization
Citations

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

Fields of papers citing papers by Nese Sinmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nese Sinmaz

This figure shows the co-authorship network connecting the top 25 collaborators of Nese Sinmaz. A scholar is included among the top collaborators of Nese Sinmaz 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 Nese Sinmaz. Nese Sinmaz 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.
Moni, Mohammad Ali, Julian M.W. Quinn, Nese Sinmaz, & Matthew A. Summers. (2020). Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings in Bioinformatics. 22(2). 1324–1337. 24 indexed citations
2.
Sinmaz, Nese, Tina Nguyen, Fiona Tea, Russell C. Dale, & Fabienne Brilot. (2016). Mapping autoantigen epitopes: molecular insights into autoantibody-associated disorders of the nervous system. Journal of Neuroinflammation. 13(1). 219–219. 35 indexed citations
3.
Sinmaz, Nese, Fiona Tea, Deepti Pilli, et al.. (2016). Dopamine-2 receptor extracellular N-terminus regulates receptor surface availability and is the target of human pathogenic antibodies from children with movement and psychiatric disorders. Acta Neuropathologica Communications. 4(1). 126–126. 20 indexed citations
4.
Sinmaz, Nese, et al.. (2015). Autoantibodies in movement and psychiatric disorders: updated concepts in detection methods, pathogenicity, and CNS entry. Annals of the New York Academy of Sciences. 1351(1). 22–38. 39 indexed citations
5.
Pathmanandavel, Karrnan, Jean Starling, Vera Merheb, et al.. (2014). Antibodies to Surface Dopamine-2 Receptor and N-Methyl-D-Aspartate Receptor in the First Episode of Acute Psychosis in Children. Biological Psychiatry. 77(6). 537–547. 71 indexed citations
6.
Dale, Russell C., Esther Tantsis, Vera Merheb, et al.. (2014). Antibodies to MOG have a demyelination phenotype and affect oligodendrocyte cytoskeleton. Neurology Neuroimmunology & Neuroinflammation. 1(1). e12–e12. 133 indexed citations
7.
Ramanathan, Sudarshini, Stephen Reddel, Andrew Henderson, et al.. (2014). Antibodies to myelin oligodendrocyte glycoprotein in bilateral and recurrent optic neuritis. Journal of Neuroimmunology. 275(1-2). 23–24. 2 indexed citations
8.
Ramanathan, Sudarshini, Stephen Reddel, Andrew Henderson, et al.. (2014). Antibodies to myelin oligodendrocyte glycoprotein in bilateral and recurrent optic neuritis. Neurology Neuroimmunology & Neuroinflammation. 1(4). e40–e40. 169 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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