Mathias Krummen

502 total citations
9 papers, 401 citations indexed

About

Mathias Krummen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mathias Krummen has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Mathias Krummen's work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Mathias Krummen is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Mathias Krummen collaborates with scholars based in Germany, United States and Austria. Mathias Krummen's co-authors include Stephan Grabbe, Sandra Balkow, Georg Varga, Stefan Beissert, Tetsuya Higuchi, Tobias Rothoeft, Limei Shen, Martin K. Wild, Hans Christian Probst and Carmen Loquai and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Mathias Krummen

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Krummen Germany 9 333 73 70 57 26 9 401
Catherine Smedley United Kingdom 6 207 0.6× 109 1.5× 62 0.9× 77 1.4× 9 0.3× 7 372
Angela Hughson United States 11 311 0.9× 52 0.7× 57 0.8× 103 1.8× 10 0.4× 15 434
Matthew J. Deeths United States 9 439 1.3× 67 0.9× 62 0.9× 144 2.5× 60 2.3× 10 553
Lucia Colantonio Italy 12 430 1.3× 58 0.8× 88 1.3× 140 2.5× 41 1.6× 13 549
A Tang United States 6 286 0.9× 75 1.0× 66 0.9× 36 0.6× 85 3.3× 8 432
Elisabeth Payer Austria 9 325 1.0× 41 0.6× 65 0.9× 36 0.6× 69 2.7× 11 391
Lirong Cheng United States 9 232 0.7× 54 0.7× 19 0.3× 56 1.0× 19 0.7× 14 345
Jinsam Chang Canada 8 302 0.9× 54 0.7× 17 0.2× 86 1.5× 17 0.7× 12 390
Mauritius Menges Germany 6 745 2.2× 110 1.5× 40 0.6× 89 1.6× 17 0.7× 7 815
Y Norihisa United States 8 293 0.9× 96 1.3× 25 0.4× 82 1.4× 20 0.8× 13 407

Countries citing papers authored by Mathias Krummen

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Krummen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Krummen

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

All Works

9 of 9 papers shown
1.
Shen, Limei, Susanne Krauthäuser, Karl Fischer, et al.. (2016). Vaccination With Trifunctional Nanoparticles That Address CD8 + Dendritic Cells Inhibits Growth of Established Melanoma. Nanomedicine. 11(20). 2647–2662. 16 indexed citations
2.
Shen, Limei, Tetsuya Higuchi, Ingrid Tubbe, et al.. (2013). A Trifunctional Dextran-Based Nanovaccine Targets and Activates Murine Dendritic Cells, and Induces Potent Cellular and Humoral Immune Responses In Vivo. PLoS ONE. 8(12). e80904–e80904. 22 indexed citations
3.
Varga, Georg, Nadine Nippe, Sandra Balkow, et al.. (2010). LFA-1 Contributes to Signal I of T-Cell Activation and to the Production of Th1 Cytokines. Journal of Investigative Dermatology. 130(4). 1005–1012. 50 indexed citations
4.
Krummen, Mathias, Sandra Balkow, Limei Shen, et al.. (2010). Release of IL-12 by dendritic cells activated by TLR ligation is dependent on MyD88 signaling, whereas TRIF signaling is indispensable for TLR synergy. Journal of Leukocyte Biology. 88(1). 189–199. 87 indexed citations
5.
Balkow, Sandra, Karin Loser, Mathias Krummen, et al.. (2008). Dendritic cell activation by combined exposure to anti‐CD40 plus interleukin (IL)‐12 and IL‐18 efficiently stimulates anti‐tumor immunity. Experimental Dermatology. 18(1). 78–87. 16 indexed citations
6.
Rothoeft, Tobias, Sandra Balkow, Mathias Krummen, et al.. (2006). Structure and duration of contact between dendritic cells and T cells are controlled by T cell activation state. European Journal of Immunology. 36(12). 3105–3117. 45 indexed citations
7.
Varga, Georg, Sandra Balkow, Martin K. Wild, et al.. (2006). Active MAC-1 (CD11b/CD18) on DCs inhibits full T-cell activation. Blood. 109(2). 661–669. 112 indexed citations
8.
Loser, Karin, Mathias Krummen, Georg Varga, et al.. (2005). An Important Role of CD80/CD86-CTLA-4 Signaling during Photocarcinogenesis in Mice. The Journal of Immunology. 174(9). 5298–5305. 40 indexed citations
9.
Krummen, Mathias, Georg Varga, Meike Steinert, et al.. (2005). Effect of pimecrolimus vs. corticosteroids on murine bone marrow‐derived dendritic cell differentiation, maturation and function. Experimental Dermatology. 15(1). 43–50. 13 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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