Michael K. Racke

17.7k total citations · 2 hit papers
180 papers, 13.2k citations indexed

About

Michael K. Racke is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Michael K. Racke has authored 180 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Immunology, 73 papers in Pathology and Forensic Medicine and 45 papers in Molecular Biology. Recurrent topics in Michael K. Racke's work include Multiple Sclerosis Research Studies (67 papers), T-cell and B-cell Immunology (61 papers) and Immunotherapy and Immune Responses (53 papers). Michael K. Racke is often cited by papers focused on Multiple Sclerosis Research Studies (67 papers), T-cell and B-cell Immunology (61 papers) and Immunotherapy and Immune Responses (53 papers). Michael K. Racke collaborates with scholars based in United States, Canada and Germany. Michael K. Racke's co-authors include Cedric S. Raine, Elliot M. Frohman, Amy E. Lovett‐Racke, Paul D. Drew, Yuhong Yang, P J Perrin, B. Cannella, Rehana Z. Hussain, Petra D. Cravens and Martin Röcken and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Biological Chemistry.

In The Last Decade

Michael K. Racke

178 papers receiving 12.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiple Sclerosis — The Plaque and Its Pathogenesis

2006 1.3k citations Elliot M. Frohman, Michael K. Racke et al. profile →
Cytokine-induced immune deviation as a therapy for inflammatory autoimmune disease.

1994 506 citations Michael K. Racke, Dorothy E. Scott et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael K. Racke United States	61	6.7k	5.2k	3.2k	2.5k	1.7k	180	13.2k
Scott S. Zamvil United States	58	8.0k 1.2×	5.1k 1.0×	3.4k 1.1×	2.3k 0.9×	2.0k 1.2×	191	15.4k
Olaf Stüve United States	57	3.3k 0.5×	6.4k 1.2×	1.9k 0.6×	2.4k 1.0×	2.6k 1.6×	251	11.5k
Krzysztof Selmaj Poland	61	5.4k 0.8×	9.5k 1.8×	4.5k 1.4×	3.3k 1.3×	3.6k 2.1×	338	17.7k
Finn Sellebjerg Denmark	54	3.4k 0.5×	6.0k 1.2×	1.7k 0.5×	2.5k 1.0×	2.5k 1.5×	315	10.3k
Bernd C. Kieseier Germany	58	2.5k 0.4×	4.8k 0.9×	1.9k 0.6×	2.0k 0.8×	4.3k 2.5×	274	11.6k
Manuel A. Friese Germany	42	3.8k 0.6×	2.6k 0.5×	2.5k 0.8×	1.3k 0.5×	1.7k 1.0×	120	9.2k
Halina Offner United States	62	8.8k 1.3×	2.0k 0.4×	2.4k 0.7×	2.0k 0.8×	692 0.4×	316	14.0k
Manuel Comabella Spain	47	2.0k 0.3×	5.0k 1.0×	2.2k 0.7×	1.7k 0.7×	2.3k 1.4×	202	8.9k
Abdolmohamad Rostami United States	51	5.5k 0.8×	2.0k 0.4×	1.9k 0.6×	1.6k 0.6×	644 0.4×	185	9.4k
Chi‐Chao Chan United States	71	4.7k 0.7×	1.7k 0.3×	4.7k 1.5×	1.9k 0.7×	1.8k 1.1×	397	18.4k

Countries citing papers authored by Michael K. Racke

Since Specialization

Citations

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

Fields of papers citing papers by Michael K. Racke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Racke. 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 Michael K. Racke. The network helps show where Michael K. Racke may publish in the future.

Co-authorship network of co-authors of Michael K. Racke

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Racke. A scholar is included among the top collaborators of Michael K. Racke 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 Michael K. Racke. Michael K. Racke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goldman, Scott, et al.. (2024). New plasma LC-MS/MS assays for the quantitation of beta-amyloid peptides and identification of apolipoprotein E proteoforms for Alzheimer’s disease risk assessment. Journal of Investigative Medicine. 72(5). 465–474. 1 indexed citations

Shaginurova, Guzel, Elena Grigorenko, Jay G. Wohlgemuth, et al.. (2024). Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates. Journal of Molecular Diagnostics. 26(6). 520–529. 2 indexed citations

Park, Hong‐Jai, Min Sun Shin, Junghee J. Shin, et al.. (2024). IL-1 receptor 1 signaling shapes the development of viral antigen-specific CD4+ T cell responses following COVID-19 mRNA vaccination. EBioMedicine. 103. 105114–105114. 1 indexed citations

Yang, Xiaozhi, Jinhua Song, Wei Pei, et al.. (2021). A STAT3 inhibitor ameliorates CNS autoimmunity by restoring Teff:Treg Balance. JCI Insight. 6(4). 23 indexed citations

Traboulsee, Anthony, Stephen L. Hauser, Eva Havrdová, et al.. (2017). Efficacy of Ocrelizumab on Brain MRI Outcomes in Patients with Early Relapsing Multiple Sclerosis: Pooled Analysis of the OPERA Studies (P6.338). Neurology. 88(16_supplement). 1 indexed citations

Ding, Chen, Sara Ireland, Gina Remington, et al.. (2016). CD40-Mediated NF-κB Activation in B Cells Is Increased in Multiple Sclerosis and Modulated by Therapeutics. The Journal of Immunology. 197(11). 4257–4265. 41 indexed citations

Deleidi, Michela, David Pitt, Kedar Mahajan, et al.. (2015). Concise Review: Modeling Multiple Sclerosis With Stem Cell Biological Platforms: Toward Functional Validation of Cellular and Molecular Phenotypes in Inflammation-Induced Neurodegeneration. Stem Cells Translational Medicine. 4(3). 252–260. 17 indexed citations

Huss, David, Ryan C. Winger, Haiyan Peng, et al.. (2010). TGF-β Enhances Effector Th1 Cell Activation but Promotes Self-Regulation via IL-10. The Journal of Immunology. 184(10). 5628–5636. 38 indexed citations

Stüve, Olaf, Petra D. Cravens, Elliot M. Frohman, et al.. (2008). Immunologic, clinical, and radiologic status 14 months after cessation of natalizumab therapy. Neurology. 72(5). 396–401. 101 indexed citations

10.

Yao, Karen, Susan J. Gagnon, Nahid Akhyani, et al.. (2008). Reactivation of Human Herpesvirus-6 in Natalizumab Treated Multiple Sclerosis Patients. PLoS ONE. 3(4). e2028–e2028. 46 indexed citations

11.

Gocke, Anne R., Petra D. Cravens, Li-Hong Ben, et al.. (2007). T-bet Regulates the Fate of Th1 and Th17 Lymphocytes in Autoimmunity. The Journal of Immunology. 178(3). 1341–1348. 216 indexed citations

12.

Mehta, Riyaz, et al.. (2006). Therapeutic Induction of Regulatory, Cytotoxic CD8+ T Cells in Multiple Sclerosis. The Journal of Immunology. 176(11). 7119–7129. 173 indexed citations

13.

Lovett‐Racke, Amy E., Rehana Z. Hussain, Judy Choy, et al.. (2004). Peroxisome Proliferator-Activated Receptor α Agonists as Therapy for Autoimmune Disease. The Journal of Immunology. 172(9). 5790–5798. 184 indexed citations

14.

Deng, Caishu, Caius G. Radu, Asim Diab, et al.. (2003). IL-1 Receptor-Associated Kinase 1 Regulates Susceptibility to Organ-Specific Autoimmunity. The Journal of Immunology. 170(6). 2833–2842. 69 indexed citations

15.

Deng, Caishu, Alfredo Minguela, Rehana Z. Hussain, et al.. (2002). Expression of the Tyrosine Phosphatase Src Homology 2 Domain-Containing Protein Tyrosine Phosphatase 1 Determines T Cell Activation Threshold and Severity of Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 168(9). 4511–4518. 33 indexed citations

16.

Forsthuber, Thomas G., Carey L. Shive, Wolfgang Wienhold, et al.. (2001). T Cell Epitopes of Human Myelin Oligodendrocyte Glycoprotein Identified in HLA-DR4 (DRB1*0401) Transgenic Mice Are Encephalitogenic and Are Presented by Human B Cells. The Journal of Immunology. 167(12). 7119–7125. 71 indexed citations

17.

Lovett‐Racke, Amy E., John L. Trotter, Jörg Lauber, et al.. (1998). Decreased dependence of myelin basic protein-reactive T cells on CD28-mediated costimulation in multiple sclerosis patients. A marker of activated/memory T cells.. Journal of Clinical Investigation. 101(4). 725–730. 224 indexed citations

18.

Cross, Anne H., Angela Vincent, & Michael K. Racke. (1995). IVth Congress of the International Society of Neuroimmunology Amsterdam, the Netherlands, 23–27 October 1994. Journal of Neuroimmunology. 58(1). 117–120. 1 indexed citations

19.

Racke, Michael K., Dorothy E. Scott, Laura Quigley, et al.. (1995). Distinct roles for B7-1 (CD-80) and B7-2 (CD-86) in the initiation of experimental allergic encephalomyelitis.. Journal of Clinical Investigation. 96(5). 2195–2203. 169 indexed citations

20.

Racke, Michael K., Roland Martinꝉ, Henry F. McFarland, & Robert B. Fritz. (1992). Copolymer-1-induced inhibition of antigen-specific T cell activation: interference with antigen presentation. Journal of Neuroimmunology. 37(1-2). 75–84. 62 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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