Matthias Krämer

3.8k total citations
182 papers, 2.7k citations indexed

About

Matthias Krämer is a scholar working on Immunology and Allergy, Physiology and Surgery. According to data from OpenAlex, Matthias Krämer has authored 182 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Immunology and Allergy, 49 papers in Physiology and 31 papers in Surgery. Recurrent topics in Matthias Krämer's work include Allergic Rhinitis and Sensitization (64 papers), Asthma and respiratory diseases (46 papers) and Food Allergy and Anaphylaxis Research (24 papers). Matthias Krämer is often cited by papers focused on Allergic Rhinitis and Sensitization (64 papers), Asthma and respiratory diseases (46 papers) and Food Allergy and Anaphylaxis Research (24 papers). Matthias Krämer collaborates with scholars based in Germany, United Kingdom and Switzerland. Matthias Krämer's co-authors include Gerd Rasp, Matthew D. Heath, Elisabeth Pfrogner, Thomas Müller, Moritz Gröger, Sven Becker, Murray Skinner, Christine A. Klemens, Brigitte Mack and Thomas C. Mettenleiter and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Matthias Krämer

170 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Krämer Germany 32 1.1k 886 406 359 344 182 2.7k
Tim Nuttall United Kingdom 37 1.2k 1.1× 390 0.4× 560 1.4× 1.7k 4.7× 282 0.8× 124 3.6k
Yong Ju Jang South Korea 34 297 0.3× 856 1.0× 473 1.2× 599 1.7× 294 0.9× 214 4.1k
M. Andersson Sweden 29 646 0.6× 811 0.9× 77 0.2× 122 0.3× 203 0.6× 67 1.9k
Ralf S. Mueller Germany 38 1.5k 1.4× 450 0.5× 804 2.0× 2.1k 5.9× 280 0.8× 219 4.4k
Craig E. Griffin United States 23 823 0.7× 230 0.3× 638 1.6× 1.2k 3.4× 171 0.5× 66 2.5k
Masahiro Sakaguchi Japan 35 1.7k 1.5× 557 0.6× 453 1.1× 910 2.5× 608 1.8× 192 3.7k
P. M. DIXON United Kingdom 38 233 0.2× 584 0.7× 99 0.2× 64 0.2× 147 0.4× 155 4.2k
Hiroshi Iwai Japan 29 150 0.1× 304 0.3× 443 1.1× 39 0.1× 666 1.9× 226 3.1k
Sarah Vreugde Australia 35 463 0.4× 479 0.5× 453 1.1× 57 0.2× 308 0.9× 189 4.5k
Claude Favrot Switzerland 29 1.2k 1.1× 294 0.3× 924 2.3× 1.7k 4.7× 214 0.6× 113 3.1k

Countries citing papers authored by Matthias Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Krämer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Krämer. A scholar is included among the top collaborators of Matthias Krämer 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 Krämer. Matthias Krämer 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.
Pfaar, Oliver, Ralph Mösges, Michael S. Blaiss, et al.. (2025). The Minimal Clinically Important Difference in Allergen Immunotherapy: An Evidence‐Based Approach. Allergy. 80(12). 3369–3376.
3.
Lesur, Antoine, François Bernardin, Gunnar Dittmar, et al.. (2022). Allergen Content of Therapeutic Preparations for Allergen-Specific Immunotherapy of European Paper Wasp Venom Allergy. Toxins. 14(4). 284–284. 7 indexed citations
4.
Freiberger, Sandra N., Gabriele Fenini, Emmanuel Contassot, et al.. (2018). Microcrystalline Tyrosine and Aluminum as Adjuvants in Allergen-Specific Immunotherapy Protect from IgE-Mediated Reactivity in Mouse Models and Act Independently of Inflammasome and TLR Signaling. The Journal of Immunology. 200(9). 3151–3159. 44 indexed citations
5.
Worm, Margitta, T. W. Higenbottam, Oliver Pfaar, et al.. (2018). Randomized controlled trials define shape of dose response for Pollinex Quattro Birch allergoid immunotherapy. Allergy. 73(9). 1812–1822. 25 indexed citations
6.
Pfaar, Oliver, Sonja Lang, Ursula Pieper‐Fürst, et al.. (2017). Ultra‐short‐course booster is effective in recurrent grass pollen‐induced allergic rhinoconjunctivitis. Allergy. 73(1). 187–195. 24 indexed citations
7.
Campe, Amely, et al.. (2015). Case-control study on the risks of BSE infections in Northern Germany.. PubMed. 126(5-6). 220–9.
8.
Staubach, Christoph, et al.. (2015). [Descriptive summary of the classical swine fever control in wild boar in Germany since 2005].. PubMed. 126(11-12). 491–9. 4 indexed citations
9.
Krämer, Matthias, et al.. (2015). Imaging of acetabular fractures in 14 dogs: a comparison of plain radiography and CT scan. Indian Journal of Veterinary Surgery. 36(1). 37–40. 1 indexed citations
10.
Bader, Sebastian, Matthias Krämer, & Bengt Oelmann. (2013). A Domain-Specific Platform for Research in Environmental Wireless Sensor Networks. 200–207. 2 indexed citations
11.
Braun, Thomas, Brigitte Mack, & Matthias Krämer. (2011). Solitary chemosensory cells in the respiratory and vomeronasal epithelium of the human nose: a pilot study. Rhinology Journal. 49(5). 507–512. 45 indexed citations
12.
Braun, Thomas, Brigitte Mack, & Matthias Krämer. (2011). Solitary chemosensory cells in the respiratory and vomeronasal epithelium of the human nose: a pilot study. Rhinology Journal. 49(5). 507–512. 45 indexed citations
13.
Depner, Klaus, Günter Strebelow, Christoph Staubach, et al.. (2006). Case report: the significance of genotyping for the epidemiological tracing of classical swine fever (CSF).. PubMed. 113(4). 159–62. 9 indexed citations
14.
Becker, Clemens, Dirk Stengel, Andreas Schmelz, et al.. (2006). Frakturen der oberen Extremität beim geriatrischen Patienten – Harmlose Monoverletzung oder Ende der Selbstständigkeit?: Eine prospektive Studie zum Outcome nach distaler Radius- und proximaler Humerusfraktur bei über 65-jährigen. Zeitschrift für Gerontologie und Geriatrie. 39(6). 451–461. 3 indexed citations
15.
Schlüter, Hartmut & Matthias Krämer. (2001). Epidemiologische Beispiele zur Seuchenausbreitung. OpenAgrar. 6 indexed citations
16.
Krämer, Matthias, et al.. (1999). Internationales Umweltrecht : Ein Vergleich zwischen Deutschland, Polen und Tschechien. Deutscher Universitätsverlag eBooks. 1 indexed citations
17.
Dahle, J, et al.. (1994). Prevalenz der Antikörper gegen die Viren der Europäischen Schweinepest, der Aujeszky'schen Krankheit und des "Porcinen reproductive and respiratory syndrome" (PRRS) bei Wildschweinen in den neuen Bundesländern Sachsen-Anhalt und Brandenburg. OpenAgrar. 1 indexed citations
18.
Ahl, R., et al.. (1994). Die Schweinepest in Deutschland in den Jahren 1992 und 1993. 25–28. 1 indexed citations
19.
Krämer, Matthias, Jürgen Teuffert, Tobias Müller, B. Haas, & Volker Ohlinger. (1993). Untersuchungen zur Epidemiologie des "Porcine Reproductive and Respiratory Syndrome (PRRS)" in Deutschland. OpenAgrar. 2 indexed citations
20.
Krämer, Matthias, et al.. (1974). Redundant cell-membrane regulation in the exocrine pancreas cells after pilocarpine stimulation of the secretion.. PubMed. 2. 87–97. 12 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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