Marc Seifert

3.2k total citations
34 papers, 1.6k citations indexed

About

Marc Seifert is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Marc Seifert has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Genetics and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Marc Seifert's work include Immune Cell Function and Interaction (13 papers), Chronic Lymphocytic Leukemia Research (12 papers) and T-cell and B-cell Immunology (10 papers). Marc Seifert is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Chronic Lymphocytic Leukemia Research (12 papers) and T-cell and B-cell Immunology (10 papers). Marc Seifert collaborates with scholars based in Germany, United States and Switzerland. Marc Seifert's co-authors include Ralf Küppers, Beat Wermelinger, Jan Dürig, Wasantha A. Wickramasinghe, Geoff Eaglesham, G. R. Shaw, Glenn B. McGregor, Ludger Sellmann, Stephan Stilgenbauer and René Scholtysik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Marc Seifert

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Seifert Germany 18 646 359 358 307 240 34 1.6k
Isabelle Auger France 26 490 0.8× 208 0.6× 108 0.3× 178 0.6× 298 1.2× 102 2.0k
Mark J. Osborn United States 32 342 0.5× 193 0.5× 151 0.4× 405 1.3× 2.6k 10.8× 72 4.2k
Ying Zhu China 20 251 0.4× 296 0.8× 167 0.5× 96 0.3× 956 4.0× 121 2.1k
Jeffrey L. Jensen United States 14 162 0.3× 55 0.2× 54 0.2× 508 1.7× 474 2.0× 34 2.1k
Justin Lack United States 27 207 0.3× 73 0.2× 56 0.2× 293 1.0× 441 1.8× 99 1.9k
Peter Dall Germany 30 215 0.3× 101 0.3× 149 0.4× 401 1.3× 1.1k 4.5× 97 2.5k
Bas Jansen Netherlands 21 286 0.4× 47 0.1× 270 0.8× 64 0.2× 425 1.8× 29 1.3k
Sergey I. Nikolaev Switzerland 25 156 0.2× 153 0.4× 99 0.3× 559 1.8× 1.7k 7.0× 53 2.4k
DE Williams United States 35 1.4k 2.2× 169 0.5× 403 1.1× 1.0k 3.4× 981 4.1× 101 4.1k
Torbjörn Säll Sweden 30 108 0.2× 164 0.5× 99 0.3× 57 0.2× 1.2k 5.0× 81 2.6k

Countries citing papers authored by Marc Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Marc Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Seifert

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Seifert. A scholar is included among the top collaborators of Marc Seifert 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 Marc Seifert. Marc Seifert 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.
Ruck, Tobias, Niklas Huntemann, Stefanie Schreiber, et al.. (2025). CD19xCD3 T cell engager blinatumomab effective in refractory generalized myasthenic syndromes. Molecular Therapy. 33(9). 4135–4142. 2 indexed citations
3.
Huber, Sandra, Franziska R. Traube, Marc Seifert, et al.. (2024). Analysis of 3760 hematologic malignancies reveals rare transcriptomic aberrations of driver genes. Genome Medicine. 16(1). 70–70. 1 indexed citations
4.
Weniger, Marc A., Marc Seifert, & Ralf Küppers. (2024). B Cell Differentiation and the Origin and Pathogenesis of Human B Cell Lymphomas. Methods in molecular biology. 2865. 1–30. 3 indexed citations
5.
Schäfer, Simon, Bettina Budeus, Sieglinde Angermüller, et al.. (2023). The inhibitory receptor Siglec‐G controls the severity of chronic lymphocytic leukemia. EMBO Reports. 24(8). e56420–e56420. 4 indexed citations
6.
Hasenberg, Mike, Bernd Walkenfort, Marc Seifert, et al.. (2023). Fc N‐glycosylation of autoreactive Aβ antibodies as a blood‐based biomarker for Alzheimer's disease. Alzheimer s & Dementia. 19(12). 5563–5572. 11 indexed citations
7.
Seifert, Marc, et al.. (2023). Age-related changes of the human splenic marginal zone B cell compartment. Immunology Letters. 256-257. 59–65. 2 indexed citations
8.
Budeus, Bettina, et al.. (2022). The Splenic Marginal Zone in Children Is Characterized by a Subpopulation of CD27-Negative, Lowly IGHV-Mutated B Cells. Frontiers in Immunology. 13. 825619–825619. 9 indexed citations
9.
Budeus, Bettina, Ludger Sellmann, Florian Murke, et al.. (2021). Systematic memory B cell archiving and random display shape the human splenic marginal zone throughout life. The Journal of Experimental Medicine. 218(4). 21 indexed citations
10.
Vidovic, Natascha, André Frenzel, Philipp Kühn, et al.. (2021). Effects of a Multimerized Recombinant Autoantibody Against Amyloid-β. Neuroscience. 463. 355–369. 3 indexed citations
11.
Seifert, Marc, René Scholtysik, & Ralf Küppers. (2019). Origin and Pathogenesis of B Cell Lymphomas. Methods in molecular biology. 1–33. 20 indexed citations
12.
Weniger, Marc A., Enrico Tiacci, Stéfanie Schneider, et al.. (2018). Human CD30+ B cells represent a unique subset related to Hodgkin lymphoma cells. Journal of Clinical Investigation. 128(7). 2996–3007. 40 indexed citations
13.
Seifert, Marc & Ralf Küppers. (2017). Determining the Origin of Human Germinal Center B Cell-Derived Malignancies. Methods in molecular biology. 1623. 253–279. 2 indexed citations
14.
Budeus, Bettina, Anja Lange, Astrid M. Westendorf, et al.. (2017). Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes. PLoS Computational Biology. 13(1). e1005362–e1005362. 12 indexed citations
15.
Seifert, Marc & Ralf Küppers. (2016). Human memory B cells. Leukemia. 30(12). 2283–2292. 166 indexed citations
16.
Seifert, Marc, Ludger Sellmann, Johannes Bloehdorn, et al.. (2012). Cellular origin and pathophysiology of chronic lymphocytic leukemia. The Journal of Experimental Medicine. 209(12). 2183–2198. 184 indexed citations
17.
Seifert, Marc, René Scholtysik, & Ralf Küppers. (2012). Origin and Pathogenesis of B Cell Lymphomas. Methods in molecular biology. 1956. 1–25. 51 indexed citations
18.
Sellmann, Ludger, Dirk de Beer, Marius Bartels, et al.. (2011). Telomeres and prognosis in patients with chronic lymphocytic leukaemia. International Journal of Hematology. 93(1). 74–82. 24 indexed citations
19.
Seifert, Marc, et al.. (2008). A model for the development of human IgD-only B cells: Genotypic analyses suggest their generation in superantigen driven immune responses. Molecular Immunology. 46(4). 630–639. 25 indexed citations
20.
Wermelinger, Beat, et al.. (1995). Faunistic development of windthrow areas with and without timber harvest. 4 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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