Björn Tackenberg

6.7k total citations
74 papers, 2.8k citations indexed

About

Björn Tackenberg is a scholar working on Pathology and Forensic Medicine, Neurology and Oncology. According to data from OpenAlex, Björn Tackenberg has authored 74 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pathology and Forensic Medicine, 28 papers in Neurology and 14 papers in Oncology. Recurrent topics in Björn Tackenberg's work include Multiple Sclerosis Research Studies (24 papers), Peripheral Neuropathies and Disorders (21 papers) and Myasthenia Gravis and Thymoma (14 papers). Björn Tackenberg is often cited by papers focused on Multiple Sclerosis Research Studies (24 papers), Peripheral Neuropathies and Disorders (21 papers) and Myasthenia Gravis and Thymoma (14 papers). Björn Tackenberg collaborates with scholars based in Germany, Switzerland and United Kingdom. Björn Tackenberg's co-authors include Jan D. Lünemann, Wolfgang H. Oertel, Falk Nimmerjahn, Ilijas Jelčić, Christian Münz, Norbert Sommer, Hajo M. Hamer, Bernhard Hemmer, Ralf Gold and Felix Rosenow and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Björn Tackenberg

72 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn Tackenberg Germany 25 845 843 761 614 452 74 2.8k
Saud Sadiq United States 32 971 1.1× 483 0.6× 351 0.5× 880 1.4× 702 1.6× 85 2.8k
Andreas Bitsch Germany 25 768 0.9× 1.8k 2.1× 727 1.0× 643 1.0× 244 0.5× 48 3.4k
Laura Airas Finland 36 654 0.8× 2.0k 2.4× 1.1k 1.5× 841 1.4× 209 0.5× 139 4.1k
Arnon Karni Israel 26 497 0.6× 846 1.0× 723 1.0× 449 0.7× 244 0.5× 92 2.6k
Laurent Magy France 31 2.0k 2.4× 611 0.7× 376 0.5× 587 1.0× 1.4k 3.1× 165 3.8k
Markus Axelsson Sweden 26 892 1.1× 1.7k 2.0× 466 0.6× 657 1.1× 164 0.4× 80 2.7k
Raffaele Iorio Italy 32 1.7k 2.0× 1.0k 1.2× 576 0.8× 438 0.7× 211 0.5× 126 2.9k
Terry Lichtor United States 27 1.1k 1.3× 601 0.7× 329 0.4× 436 0.7× 521 1.2× 82 2.5k
Catherine M. Dalton United Kingdom 20 739 0.9× 1.7k 2.0× 463 0.6× 308 0.5× 110 0.2× 37 2.6k
Ian Sutton Australia 20 814 1.0× 363 0.4× 542 0.7× 352 0.6× 312 0.7× 43 2.0k

Countries citing papers authored by Björn Tackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Björn Tackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Tackenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Tackenberg. A scholar is included among the top collaborators of Björn Tackenberg 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 Björn Tackenberg. Björn Tackenberg 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.
Schneider‐Hohendorf, Tilman, Andreas Schulte‐Mecklenbeck, Catarina Rapôso, et al.. (2025). B- and T cell receptor sequencing elucidates characteristics of lymphocyte depletion by ocrelizumab. iScience. 28(8). 113068–113068.
2.
Dias, Marcelo Fernandes Pacheco, Nicklas Linz, James Overell, et al.. (2024). Detecting fatigue in multiple sclerosis through automatic speech analysis. Frontiers in Human Neuroscience. 18. 1449388–1449388. 2 indexed citations
3.
Rauer, Sebastian, Muna‐Miriam Hoshi, Refik Pul, et al.. (2020). Ocrelizumab Treatment in Patients with Primary Progressive Multiple Sclerosis: Short-term Safety Results from a Compassionate Use Programme in Germany. Clinical Neurology and Neurosurgery. 197. 106142–106142. 5 indexed citations
4.
Ohlmeier, Christoph, Holger Gothe, Judith Haas, et al.. (2020). Epidemiology, characteristics and treatment of patients with relapsing remitting multiple sclerosis and incidence of high disease activity: Real world evidence based on German claims data. PLoS ONE. 15(5). e0231846–e0231846. 23 indexed citations
5.
Ziemssen, Tjalf, Michael Lang, Björn Tackenberg, et al.. (2019). PANGAEA: Effectiveness and safety of fingolimod over 5 years in daily clinical practice (P3.2-086). Neurology. 92(15_supplement). 1 indexed citations
6.
Solimani, Farzan, Roberto Maglie, Robert Pollmann, et al.. (2019). Thymoma-Associated Paraneoplastic Autoimmune Multiorgan Syndrome—From Pemphigus to Lichenoid Dermatitis. Frontiers in Immunology. 10. 1413–1413. 32 indexed citations
7.
Fernández, Óscar, Maurizio Delvecchio, Gilles Edan, et al.. (2018). Survey of diagnostic and treatment practices for multiple sclerosis (MS) in Europe. Part 2: Progressive MS, paediatric MS, pregnancy and general management. European Journal of Neurology. 25(5). 739–746. 7 indexed citations
8.
9.
Brandt, Alexander U., Jan Leo Rinnenthal, Hanna Zimmermann, et al.. (2016). Afferent Visual Pathway Affection in Patients with PMP22 Deletion-Related Hereditary Neuropathy with Liability to Pressure Palsies. PLoS ONE. 11(10). e0164617–e0164617. 7 indexed citations
10.
11.
Melzer, Nico, Tobias Ruck, Peter Fuhr, et al.. (2016). Clinical features, pathogenesis, and treatment of myasthenia gravis: a supplement to the Guidelines of the German Neurological Society. Journal of Neurology. 263(8). 1473–1494. 175 indexed citations
12.
13.
Tietz, Silvia, et al.. (2014). MK2 and Fas Receptor Contribute to the Severity of CNS Demyelination. PLoS ONE. 9(6). e100363–e100363. 8 indexed citations
14.
Koczulla, Andreas Rembert, Maike Gold, Akira Hattesohl, et al.. (2013). An application of electronic nose technology for diagnosis of Alzheimer's disease. European Respiratory Journal. 42(Suppl 57). P1275–P1275. 1 indexed citations
15.
Ludwig, Nicole, Andreas Keller, Björn Tackenberg, et al.. (2013). Myasthenia Gravis: Analysis of Serum Autoantibody Reactivities to 1827 Potential Human Autoantigens by Protein Macroarrays. PLoS ONE. 8(3). e58095–e58095. 8 indexed citations
16.
Huber, Magdalena, Sylvia Heink, Axel Pagenstecher, et al.. (2012). IL-17A secretion by CD8+ T cells supports Th17-mediated autoimmune encephalomyelitis. Journal of Clinical Investigation. 123(1). 247–260. 190 indexed citations
17.
Srivastava, Rakesh K., Muhammad Aslam, Sudhakar Reddy Kalluri, et al.. (2012). Potassium Channel KIR4.1 as an Immune Target in Multiple Sclerosis. New England Journal of Medicine. 367(2). 115–123. 263 indexed citations
18.
Reese, Jens Peter, et al.. (2011). Economic Burden in a German Cohort of Patients with Multiple Sclerosis. European Neurology. 66(6). 311–321. 32 indexed citations
19.
Li, Gang, Sebastian Bauer, Marcin Nowak, et al.. (2011). Cytokines and epilepsy. Seizure. 20(3). 249–256. 216 indexed citations
20.
Möller, J. Carsten, Björn Tackenberg, Monika Heinzel‐Gutenbrunner, et al.. (2008). Immunophenotyping in Tourette syndrome – a pilot study. European Journal of Neurology. 15(7). 749–753. 22 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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