Fred Lühder

4.9k total citations
93 papers, 3.2k citations indexed

About

Fred Lühder is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Fred Lühder has authored 93 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 16 papers in Pathology and Forensic Medicine and 15 papers in Neurology. Recurrent topics in Fred Lühder's work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (30 papers) and Immunotherapy and Immune Responses (22 papers). Fred Lühder is often cited by papers focused on T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (30 papers) and Immunotherapy and Immune Responses (22 papers). Fred Lühder collaborates with scholars based in Germany, United States and France. Fred Lühder's co-authors include Holger M. Reichardt, Ralf Gold, Diane Mathis, Christophe Benoıst, James P. Allison, Ralf A. Linker, Jan Tuckermann, Petter Höglund, Sybille D. Reichardt and Jens van den Brandt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Fred Lühder

90 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Lühder Germany 36 1.5k 630 498 495 481 93 3.2k
Rosetta Pedotti Italy 27 2.0k 1.3× 1.5k 2.4× 990 2.0× 374 0.8× 575 1.2× 40 4.9k
Sawsan Youssef United States 30 2.4k 1.6× 1.4k 2.2× 954 1.9× 277 0.6× 853 1.8× 46 5.2k
Marcela V. Karpuj United States 20 726 0.5× 1.3k 2.1× 372 0.7× 370 0.7× 256 0.5× 26 2.9k
Christopher Lock United States 19 1.6k 1.1× 1.4k 2.2× 823 1.7× 363 0.7× 471 1.0× 33 4.0k
Gopal Murugaiyan United States 30 2.0k 1.3× 1.1k 1.8× 350 0.7× 285 0.6× 580 1.2× 44 4.0k
Wassim Elyaman United States 33 2.9k 1.9× 1.2k 1.9× 308 0.6× 324 0.7× 624 1.3× 66 5.0k
Henry C. Powell United States 32 1.0k 0.7× 768 1.2× 342 0.7× 182 0.4× 291 0.6× 75 3.3k
Shohreh Issazadeh‐Navikas Denmark 32 1.9k 1.2× 941 1.5× 539 1.1× 164 0.3× 726 1.5× 76 3.9k
Maja Jagodic Sweden 32 1.0k 0.7× 1.3k 2.1× 685 1.4× 394 0.8× 362 0.8× 101 3.0k
Jens van den Brandt Germany 28 820 0.5× 923 1.5× 182 0.4× 407 0.8× 239 0.5× 73 2.6k

Countries citing papers authored by Fred Lühder

Since Specialization
Citations

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

Fields of papers citing papers by Fred Lühder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Lühder

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Lühder. A scholar is included among the top collaborators of Fred Lühder 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 Fred Lühder. Fred Lühder 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.
Heidenreich, Sebastian, et al.. (2025). Glucocorticoids Induce an Opposite Metabolic Switch in Human Monocytes Contingent upon Their Polarization. Biomolecules. 15(10). 1422–1422.
2.
Villunger, Andreas, et al.. (2023). T Cell Energy Metabolism Is a Target of Glucocorticoids in Mice, Healthy Humans, and MS Patients. Cells. 12(3). 450–450. 3 indexed citations
4.
Lühder, Fred, et al.. (2023). Lack of STAT1 co-operative DNA binding protects against adverse cardiac remodelling in acute myocardial infarction. Frontiers in Cardiovascular Medicine. 10. 975012–975012. 1 indexed citations
5.
Teegen, Bianca, Felix Luessi, W. Stöcker, et al.. (2022). Factors predisposing to humoral autoimmunity against brain-antigens in health and disease: Analysis of 49 autoantibodies in over 7000 subjects. Brain Behavior and Immunity. 108. 135–147. 19 indexed citations
6.
Reichardt, Sybille D., Chiara Muzzi, Sabine Vettorazzi, et al.. (2021). The Role of Glucocorticoids in Inflammatory Diseases. Cells. 10(11). 2921–2921. 93 indexed citations
7.
Arinrad, Sahab, Anna Seelbach, Umer Javed Butt, et al.. (2021). NMDAR1 autoantibodies amplify behavioral phenotypes of genetic white matter inflammation: a mild encephalitis model with neuropsychiatric relevance. Molecular Psychiatry. 27(12). 4974–4983. 14 indexed citations
8.
Berghoff, Stefan A., Sahab Arinrad, Anja Ronnenberg, et al.. (2021). Autoantibodies against NMDA receptor 1 modify rather than cause encephalitis. Molecular Psychiatry. 26(12). 7746–7759. 16 indexed citations
9.
Butt, Umer Javed, Stefan A. Berghoff, Anja Ronnenberg, et al.. (2021). Inducing sterile pyramidal neuronal death in mice to model distinct aspects of gray matter encephalitis. Acta Neuropathologica Communications. 9(1). 121–121. 5 indexed citations
10.
Wilson, Rebecca, Benedikt Kolbrink, Friedrich Alexander von Samson‐Himmelstjerna, et al.. (2020). Primidone blocks RIPK1-driven cell death and inflammation. Cell Death and Differentiation. 28(5). 1610–1626. 47 indexed citations
11.
Lühder, Fred, Hania Kébir, Francesca Odoardi, et al.. (2017). Laquinimod enhances central nervous system barrier functions. Neurobiology of Disease. 102. 60–69. 15 indexed citations
12.
Reichardt, Sybille D., Toni Weinhage, Anand Rotte, et al.. (2014). Glucocorticoids Induce Gastroparesis in Mice Through Depletion of l-Arginine. Endocrinology. 155(10). 3899–3908. 15 indexed citations
13.
Lühder, Fred, Ralf Gold, Alexander Flügel, & Ralf A. Linker. (2013). Brain-Derived Neurotrophic Factor in Neuroimmunology: Lessons Learned from Multiple Sclerosis Patients and Experimental Autoimmune Encephalomyelitis Models. Archivum Immunologiae et Therapiae Experimentalis. 61(2). 95–105. 29 indexed citations
14.
Cordiglieri, Chiara, Francesca Odoardi, Bo Zhang, et al.. (2010). Nicotinic acid adenine dinucleotide phosphate-mediated calcium signalling in effector T cells regulates autoimmunity of the central nervous system. Brain. 133(7). 1930–1943. 53 indexed citations
15.
Tischner, Denise, Michael John, Jan Tuckermann, et al.. (2009). Therapeutic and Adverse Effects of a Non-Steroidal Glucocorticoid Receptor Ligand in a Mouse Model of Multiple Sclerosis. PLoS ONE. 4(12). e8202–e8202. 61 indexed citations
16.
Ahsen, Nicolas von, Niels Kruse, Brian E. Huber, et al.. (2009). ABC-transporter gene-polymorphisms are potential pharmacogenetic markers for mitoxantrone response in multiple sclerosis. Brain. 132(9). 2517–2530. 55 indexed citations
17.
Dennehy, Kevin M., et al.. (2007). Mitogenic CD28 Signals Require the Exchange Factor Vav1 to Enhance TCR Signaling at the SLP-76-Vav-Itk Signalosome. The Journal of Immunology. 178(3). 1363–1371. 34 indexed citations
18.
Lühder, Fred, Petter Höglund, James P. Allison, Christophe Benoıst, & Diane Mathis. (1998). Cytotoxic T Lymphocyte–associated Antigen 4 (CTLA-4) Regulates the Unfolding of Autoimmune Diabetes. The Journal of Experimental Medicine. 187(3). 427–432. 253 indexed citations
20.
Lindsay, Laura A., et al.. (1996). Immune reactivity of diabetes-associated human monoclonal autoantibodies defines multiple epitopes and detects two domain boundaries in glutamate decarboxylase. The Journal of Immunology. 157(11). 5208–5214. 40 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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