Matthias Mack

37.5k total citations · 13 hit papers
259 papers, 25.3k citations indexed

About

Matthias Mack is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Matthias Mack has authored 259 papers receiving a total of 25.3k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Immunology, 74 papers in Oncology and 34 papers in Epidemiology. Recurrent topics in Matthias Mack's work include Chemokine receptors and signaling (57 papers), Immune Response and Inflammation (52 papers) and Immune cells in cancer (49 papers). Matthias Mack is often cited by papers focused on Chemokine receptors and signaling (57 papers), Immune Response and Inflammation (52 papers) and Immune cells in cancer (49 papers). Matthias Mack collaborates with scholars based in Germany, United States and United Kingdom. Matthias Mack's co-authors include Detlef Schlöndorff, Stanley Perlman, Rudragouda Channappanavar, David K. Meyerholz, Josef Cihak, M. Stangassinger, Anthony R. Fehr, Steffen Jung, Hilke Brühl and Amanda E. I. Proudfoot and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthias Mack

257 papers receiving 25.0k citations

Hit Papers

Dysregulated Type I Interferon and Inflammato... 2007 2026 2013 2019 2016 2007 2010 2007 2007 250 500 750 1000
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.

  1. Dysregulated Type I Interferon and Inflammatory Monocyte-Macrophage Responses Cause Lethal Pneumonia in SARS-CoV-Infected Mice
    2016 1.1k citations Matthias Mack et al. profile →
  2. Monocyte subsets differentially employ CCR2, CCR5, and CX3CR1 to accumulate within atherosclerotic plaques
    2007 1.1k citations Matthias Mack, Nico van Rooijen et al. Journal of Clinical Investigation profile →
  3. Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytes
    2010 964 citations Kiavash Movahedi, Damya Laoui et al. Cancer Research profile →
  4. Critical roles for CCR2 and MCP-3 in monocyte mobilization from bone marrow and recruitment to inflammatory sites
    2007 879 citations Matthias Mack et al. Journal of Clinical Investigation profile →
  5. Microglia in the adult brain arise from Ly-6ChiCCR2+ monocytes only under defined host conditions
    2007 855 citations Alexander Mildner, Matthias Mack et al. profile →
  6. Infiltrating Blood-Derived Macrophages Are Vital Cells Playing an Anti-inflammatory Role in Recovery from Spinal Cord Injury in Mice
    2009 608 citations Anat London, Matthias Mack et al. profile →
  7. Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection
    2017 584 citations Matthias Mack et al. profile →
  8. Ly6Chi Monocytes in the Inflamed Colon Give Rise to Proinflammatory Effector Cells and Migratory Antigen-Presenting Cells
    2012 573 citations Matthias Mack, Steffen Jung et al. profile →
  9. Genetic Cell Ablation Reveals Clusters of Local Self-Renewing Microglia in the Mammalian Central Nervous System
    2015 485 citations Simon Yona, Matthias Mack et al. profile →
  10. Mechanosensation of cyclical force by PIEZO1 is essential for innate immunity
    2019 459 citations Matthias Mack et al. profile →
  11. IFN-I response timing relative to virus replication determines MERS coronavirus infection outcomes
    2019 405 citations Matthias Mack et al. Journal of Clinical Investigation profile →
  12. Inflammation and fibrosis
    2017 384 citations Matthias Mack profile →
  13. Human neutralizing antibodies against SARS-CoV-2 require intact Fc effector functions for optimal therapeutic protection
    2021 183 citations Emma S. Winkler, Matthias Mack et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Mack Germany 84 13.3k 5.9k 4.7k 3.2k 2.9k 259 25.3k
Peter J. Murray United States 78 16.5k 1.2× 8.2k 1.4× 4.9k 1.0× 1.3k 0.4× 2.3k 0.8× 166 28.3k
Frédéric Geissmann France 61 19.2k 1.4× 6.5k 1.1× 3.4k 0.7× 4.0k 1.3× 1.0k 0.4× 111 27.3k
Craig Gérard United States 86 16.2k 1.2× 6.3k 1.1× 5.8k 1.2× 1.5k 0.5× 2.4k 0.8× 223 29.5k
Marco A. Cassatella Italy 75 13.6k 1.0× 5.2k 0.9× 3.6k 0.8× 1.6k 0.5× 1.1k 0.4× 240 21.7k
Israel Charo United States 90 14.9k 1.1× 6.2k 1.1× 8.3k 1.8× 2.9k 0.9× 947 0.3× 162 29.4k
Gwendalyn J. Randolph United States 86 21.0k 1.6× 8.7k 1.5× 6.4k 1.3× 2.1k 0.7× 1.2k 0.4× 184 33.4k
Georges E. Grau Australia 83 9.5k 0.7× 6.4k 1.1× 2.2k 0.5× 1.4k 0.5× 2.2k 0.7× 364 26.1k
Edward J. Pearce United States 81 17.7k 1.3× 9.5k 1.6× 4.1k 0.9× 1.1k 0.3× 2.8k 0.9× 227 36.1k
John D. Lambris United States 109 27.3k 2.1× 9.8k 1.7× 2.6k 0.5× 3.4k 1.1× 3.9k 1.3× 570 47.8k
Thomas Korn Germany 58 16.4k 1.2× 4.4k 0.7× 3.5k 0.7× 2.1k 0.7× 1000 0.3× 140 25.8k

Countries citing papers authored by Matthias Mack

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Mack

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Mack. A scholar is included among the top collaborators of Matthias Mack 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 Matthias Mack. Matthias Mack 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.
Mack, Matthias, et al.. (2025). CD4+ T-cell help delivery to monocyte-derived dendritic cells promotes effector differentiation of helper and cytotoxic T cells. Immunology Letters. 275. 107022–107022. 2 indexed citations
2.
Llorián‐Salvador, María, et al.. (2025). Differential Roles of Macrophages and Microglia in Subretinal Fibrosis Secondary to Neovascular Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 66(3). 41–41. 2 indexed citations
3.
Hall, Pam, et al.. (2024). Both Classical and Non-Classical Monocytes Patrol Glomerular Capillaries and Promote Acute Glomerular Inflammation. American Journal Of Pathology. 195(1). 89–101. 2 indexed citations
4.
Rizzo, Giuseppe, Ehsan Vafadarnejad, Anna Rizakou, et al.. (2022). Dynamics of monocyte-derived macrophage diversity in experimental myocardial infarction. Cardiovascular Research. 119(3). 772–785. 83 indexed citations
5.
Cross, Stephen D., Nicolas Pionnier, John Archer, et al.. (2021). Tetracyclines improve experimental lymphatic filariasis pathology by disrupting interleukin-4 receptor–mediated lymphangiogenesis. Journal of Clinical Investigation. 131(5). 26 indexed citations
6.
Talke, Yvonne, et al.. (2021). B‐cell modulation with anti‐CD79b antibodies ameliorates experimental autoimmune encephalitis in mice. European Journal of Immunology. 52(4). 656–668. 1 indexed citations
7.
Winkler, Emma S., Swathi Shrihari, Barry L. Hykes, et al.. (2020). The Intestinal Microbiome Restricts Alphavirus Infection and Dissemination through a Bile Acid-Type I IFN Signaling Axis. Cell. 182(4). 901–918.e18. 132 indexed citations
8.
Giladi, Amir, Lisa Katharina Wagner, Hanjie Li, et al.. (2020). Cxcl10+ monocytes define a pathogenic subset in the central nervous system during autoimmune neuroinflammation. Nature Immunology. 21(5). 525–534. 81 indexed citations
9.
Fox, Julie M., Vicky Roy, Bronwyn M. Gunn, et al.. (2019). Optimal therapeutic activity of monoclonal antibodies against chikungunya virus requires Fc-FcγR interaction on monocytes. Science Immunology. 4(32). 58 indexed citations
10.
García‐Rodríguez, Sonia, Antonio Rosal‐Vela, Davide Botta, et al.. (2018). CD38 promotes pristane-induced chronic inflammation and increases susceptibility to experimental lupus by an apoptosis-driven and TRPM2-dependent mechanism. Scientific Reports. 8(1). 3357–3357. 23 indexed citations
11.
Mack, Matthias & Motoko Yanagita. (2014). Origin of myofibroblasts and cellular events triggering fibrosis. Kidney International. 87(2). 297–307. 282 indexed citations
12.
Ding, Zhi-Chun, Xiaoyun Lu, Miao Yu, et al.. (2014). Immunosuppressive Myeloid Cells Induced by Chemotherapy Attenuate Antitumor CD4+ T-Cell Responses through the PD-1–PD-L1 Axis. Cancer Research. 74(13). 3441–3453. 109 indexed citations
13.
Avraham‐Davidi, Inbal, Simon Yona, Myriam Grunewald, et al.. (2013). On-site education of VEGF-recruited monocytes improves their performance as angiogenic and arteriogenic accessory cells. The Journal of Experimental Medicine. 210(12). 2611–2625. 92 indexed citations
14.
Dhaliwal, Kevin, Emma Scholefield, David A. Ferenbach, et al.. (2012). Monocytes Control Second-Phase Neutrophil Emigration in Established Lipopolysaccharide-induced Murine Lung Injury. American Journal of Respiratory and Critical Care Medicine. 186(6). 514–524. 86 indexed citations
15.
London, Anat, Inbal Benhar, Vyacheslav Kalchenko, et al.. (2011). Neuroprotection and progenitor cell renewal in the injured adult murine retina requires healing monocyte-derived macrophages. The Journal of Experimental Medicine. 208(1). 23–39. 159 indexed citations
16.
Movahedi, Kiavash, Damya Laoui, Conny Gysemans, et al.. (2010). Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytes. Cancer Research. 70(14). 5728–5739. 964 indexed citations breakdown →
17.
Herold, Susanne, Werner von Wulffen, Lidija Cakarova, et al.. (2008). Lung epithelial apoptosis in influenza virus pneumonia: the role of macrophage-expressed TNF-related apoptosis-inducing ligand. The Journal of Experimental Medicine. 205(13). 3065–3077. 298 indexed citations
18.
Quinones, Marlon P., Yogeshwar Kalkonde, Carlos A. Estrada, et al.. (2007). Role of astrocytes and chemokine systems in acute TNFα induced demyelinating syndrome: CCR2-dependent signals promote astrocyte activation and survival via NF-κB and Akt. Molecular and Cellular Neuroscience. 37(1). 96–109. 47 indexed citations
19.
Maus, Ulrich A., Christine Winter, Mrigank Srivastava, et al.. (2007). Importance of Phosphoinositide 3-Kinase γ in the Host Defense against Pneumococcal Infection. American Journal of Respiratory and Critical Care Medicine. 175(9). 958–966. 65 indexed citations
20.
Krämer, Bernhard K., Carsten A. Böger, Aiman Obed, et al.. (2005). Cardiovascular risk factors after renal transplantation. University of Regensburg Publication Server (University of Regensburg). 1 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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