Makbule Şenel

3.5k total citations
43 papers, 1.2k citations indexed

About

Makbule Şenel is a scholar working on Pathology and Forensic Medicine, Neurology and Oncology. According to data from OpenAlex, Makbule Şenel has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pathology and Forensic Medicine, 21 papers in Neurology and 8 papers in Oncology. Recurrent topics in Makbule Şenel's work include Multiple Sclerosis Research Studies (25 papers), Peripheral Neuropathies and Disorders (18 papers) and Polyomavirus and related diseases (5 papers). Makbule Şenel is often cited by papers focused on Multiple Sclerosis Research Studies (25 papers), Peripheral Neuropathies and Disorders (18 papers) and Polyomavirus and related diseases (5 papers). Makbule Şenel collaborates with scholars based in Germany, Austria and Türkiye. Makbule Şenel's co-authors include Hayrettin Tumani, Markus Otto, Albert C. Ludolph, André Huss, Johannes Brettschneider, Franziska Bachhuber, Stefan Presslauer, Jan Kassubek, Florian Lauda and Vera Lehmensiek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Makbule Şenel

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makbule Şenel Germany 20 635 420 259 232 200 43 1.2k
Verena Grummel Germany 18 877 1.4× 541 1.3× 253 1.0× 625 2.7× 189 0.9× 29 1.6k
Dun Zhou Germany 13 1.0k 1.6× 484 1.2× 303 1.2× 597 2.6× 177 0.9× 15 1.6k
Olivier Outteryck France 23 1.1k 1.8× 710 1.7× 369 1.4× 108 0.5× 141 0.7× 62 1.6k
Pierre Labauge France 17 1.1k 1.7× 697 1.7× 238 0.9× 143 0.6× 188 0.9× 59 1.7k
Alexandros Tselis United States 21 729 1.1× 472 1.1× 242 0.9× 151 0.7× 105 0.5× 40 1.3k
Sara Mariotto Italy 21 506 0.8× 964 2.3× 173 0.7× 103 0.4× 235 1.2× 98 1.6k
Philipp Schwenkenbecher Germany 21 400 0.6× 307 0.7× 159 0.6× 117 0.5× 146 0.7× 56 902
Markus C. Kowarik Germany 15 483 0.8× 289 0.7× 91 0.4× 357 1.5× 168 0.8× 48 977
Louise Wienholt Australia 12 249 0.4× 370 0.9× 152 0.6× 185 0.8× 173 0.9× 36 901
A. Jacob United Kingdom 17 774 1.2× 663 1.6× 265 1.0× 121 0.5× 165 0.8× 37 1.6k

Countries citing papers authored by Makbule Şenel

Since Specialization
Citations

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

Fields of papers citing papers by Makbule Şenel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makbule Şenel

This figure shows the co-authorship network connecting the top 25 collaborators of Makbule Şenel. A scholar is included among the top collaborators of Makbule Şenel 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 Makbule Şenel. Makbule Şenel 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.
Uttner, Ingo, Stefanie Jung, Herbert Schreiber, et al.. (2025). Sensitivity and Specificity of a Revised Version of the TRACK-MS Screening Battery for Early Detection of Cognitive Impairment in Patients with Multiple Sclerosis. Biomedicines. 13(8). 1902–1902. 1 indexed citations
2.
Junker, Ralf, Frank Leypoldt, Michael P. Malter, et al.. (2025). Serum NfL predicts outcome and secondary autoimmunity in herpes-simplex encephalitis. Journal of Neuroimmunology. 400. 578528–578528.
3.
Dorst, Johannes, et al.. (2025). Plasma Exchange vs. Immunoadsorption: Effects on Immunological Markers and Predictive Value in Steroid-Refractory MS Attacks. Multiple Sclerosis Journal - Experimental Translational and Clinical. 11(2). 3120684997–3120684997.
4.
5.
Tumani, Hayrettin, et al.. (2023). CXCL13 in Cerebrospinal Fluid: Clinical Value in a Large Cross-Sectional Study. International Journal of Molecular Sciences. 25(1). 425–425. 7 indexed citations
6.
Finzel, Stephanie, et al.. (2022). Rheumatoid factor IgM autoantibodies control IgG homeostasis. Frontiers in Immunology. 13. 1016263–1016263. 13 indexed citations
7.
Jesse, Sarah, et al.. (2021). Phelan McDermid Syndrome: Multiple Sclerosis as a Rare but Treatable Cause for Regression—A Case Report. International Journal of Molecular Sciences. 22(5). 2311–2311. 3 indexed citations
8.
Bachhuber, Franziska, André Huss, Makbule Şenel, & Hayrettin Tumani. (2021). Diagnostic biomarkers in tear fluid: from sampling to preanalytical processing. Scientific Reports. 11(1). 10064–10064. 69 indexed citations
9.
Abu‐Rumeileh, Samir, et al.. (2021). Varicella zoster virus-induced neurological disease after COVID-19 vaccination: a retrospective monocentric study. Journal of Neurology. 269(4). 1751–1757. 12 indexed citations
10.
Dorst, Johannes, et al.. (2020). Safety and Tolerability of Plasma Exchange and Immunoadsorption in Neuroinflammatory Diseases. Journal of Clinical Medicine. 9(9). 2874–2874. 14 indexed citations
11.
Aktaş, Orhan, André Huss, Klaudia Lepka, et al.. (2020). Serum neurofilament light chain. Neurology Neuroimmunology & Neuroinflammation. 7(6). 33 indexed citations
12.
Abdelhak, Ahmed, André Huss, Alexander Stahmann, et al.. (2020). Explorative study of emerging blood biomarkers in progressive multiple sclerosis (EmBioProMS): Design of a prospective observational multicentre pilot study. Contemporary Clinical Trials Communications. 18. 100574–100574. 5 indexed citations
13.
Kleerekooper, Iris, Megan K. Herbert, H. Bea Kuiperij, et al.. (2020). CSF levels of glutamine synthetase and GFAP to explore astrocytic damage in seronegative NMOSD. Journal of Neurology Neurosurgery & Psychiatry. 91(6). 605–611. 21 indexed citations
14.
Rapp, Daniel, Mirjam Keßler, Elmar H. Pinkhardt, et al.. (2020). Stress cardiomyopathy associated with the first manifestation of multiple sclerosis: a case report. BMC Neurology. 20(1). 227–227. 8 indexed citations
15.
Huss, André, Franziska Bachhuber, Jan Lewerenz, et al.. (2019). Association of cerebrospinal fluid kappa free light chains with the intrathecal polyspecific antiviral immune response in multiple sclerosis. Clinica Chimica Acta. 498. 148–153. 9 indexed citations
16.
17.
Dersch, Rick, Tilman Hottenrott, Makbule Şenel, et al.. (2015). The chemokine CXCL13 is elevated in the cerebrospinal fluid of patients with neurosyphilis. Fluids and Barriers of the CNS. 12(1). 12–12. 46 indexed citations
18.
Şenel, Makbule, Hayrettin Tumani, Florian Lauda, et al.. (2014). Cerebrospinal Fluid Immunoglobulin Kappa Light Chain in Clinically Isolated Syndrome and Multiple Sclerosis. PLoS ONE. 9(4). e88680–e88680. 65 indexed citations
19.
Tumani, Hayrettin, Jan Kassubek, Vera Lehmensiek, et al.. (2011). Patterns of Th1/Th2 Cytokines Predict Clinical Response in Multiple Sclerosis Patients Treated with Glatiramer Acetate. European Neurology. 65(3). 164–169. 25 indexed citations
20.
Şenel, Makbule, Tobias A. Rupprecht, Hayrettin Tumani, et al.. (2009). The chemokine CXCL13 in acute neuroborreliosis. Journal of Neurology Neurosurgery & Psychiatry. 81(8). 929–933. 71 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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