Birgit K. Kramp

838 total citations
7 papers, 569 citations indexed

About

Birgit K. Kramp is a scholar working on Oncology, Immunology and Allergy and Immunology. According to data from OpenAlex, Birgit K. Kramp has authored 7 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Immunology and Allergy and 3 papers in Immunology. Recurrent topics in Birgit K. Kramp's work include Chemokine receptors and signaling (6 papers), Cell Adhesion Molecules Research (4 papers) and T-cell and B-cell Immunology (3 papers). Birgit K. Kramp is often cited by papers focused on Chemokine receptors and signaling (6 papers), Cell Adhesion Molecules Research (4 papers) and T-cell and B-cell Immunology (3 papers). Birgit K. Kramp collaborates with scholars based in Germany, Netherlands and United States. Birgit K. Kramp's co-authors include Christian Weber, Rory R. Koenen, Alisina Sarabi, Elisa A. Liehn, Tilman M. Hackeng, Philipp von Hundelshausen, Alma Zernecke, Søren R. Paludan, M. Anna Kowalska and Irina V. Nesmelova and has published in prestigious journals such as Nature Medicine, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Birgit K. Kramp

7 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgit K. Kramp Germany 7 324 216 153 125 87 7 569
Rob C. M. de Jong Netherlands 11 237 0.7× 149 0.7× 287 1.9× 71 0.6× 23 0.3× 22 583
Karim Harhouri France 14 122 0.4× 115 0.5× 561 3.7× 54 0.4× 90 1.0× 19 778
Karen Morrison United Kingdom 14 177 0.5× 233 1.1× 299 2.0× 38 0.3× 67 0.8× 23 826
A. Lyndsay Drayer Netherlands 14 141 0.4× 135 0.6× 150 1.0× 212 1.7× 29 0.3× 17 451
Shaivy Malik India 12 251 0.8× 277 1.3× 152 1.0× 88 0.7× 37 0.4× 31 563
Lukas Pawig Netherlands 6 232 0.7× 194 0.9× 159 1.0× 21 0.2× 22 0.3× 6 485
Matthew McCourt United Kingdom 9 141 0.4× 189 0.9× 171 1.1× 99 0.8× 43 0.5× 18 543
Omar Elaskalani Australia 8 198 0.6× 246 1.1× 240 1.6× 65 0.5× 21 0.2× 11 568
Josephine Schembri-King United States 9 215 0.7× 86 0.4× 173 1.1× 40 0.3× 105 1.2× 9 479
Wim M.J. Vuist Netherlands 11 155 0.5× 66 0.3× 170 1.1× 278 2.2× 46 0.5× 16 635

Countries citing papers authored by Birgit K. Kramp

Since Specialization
Citations

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

Fields of papers citing papers by Birgit K. Kramp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit K. Kramp

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

All Works

7 of 7 papers shown
1.
Döring, Yvonne, Heidi Noels, Manuela Mandl, et al.. (2014). Deficiency of the Sialyltransferase St3Gal4 Reduces Ccl5-Mediated Myeloid Cell Recruitment and Arrest. Circulation Research. 114(6). 976–981. 47 indexed citations
2.
Projahn, Delia, Sakine Simsekyilmaz, Smriti Singh, et al.. (2014). Controlled intramyocardial release of engineered chemokines by biodegradable hydrogels as a treatment approach of myocardial infarction. Journal of Cellular and Molecular Medicine. 18(5). 790–800. 35 indexed citations
3.
Kramp, Birgit K., Remco T. A. Megens, Alisina Sarabi, et al.. (2013). Exchange of extracellular domains of CCR1 and CCR5 reveals confined functions in CCL5-mediated cell recruitment. Thrombosis and Haemostasis. 110(10). 795–806. 12 indexed citations
4.
Postea, Otilia, Elena M. Vasina, Sandra Cauwenberghs, et al.. (2012). Contribution of Platelet CX 3 CR1 to Platelet–Monocyte Complex Formation and Vascular Recruitment During Hyperlipidemia. Arteriosclerosis Thrombosis and Vascular Biology. 32(5). 1186–1193. 70 indexed citations
5.
Kramp, Birgit K., Alisina Sarabi, Rory R. Koenen, & Christian Weber. (2010). Heterophilic chemokine receptor interactions in chemokine signaling and biology. Experimental Cell Research. 317(5). 655–663. 32 indexed citations
6.
Sarabi, Alisina, Birgit K. Kramp, Maik Drechsler, et al.. (2010). CXCL4L1 inhibits angiogenesis and induces undirected endothelial cell migration without affecting endothelial cell proliferation and monocyte recruitment. Journal of Thrombosis and Haemostasis. 9(1). 209–219. 40 indexed citations
7.
Koenen, Rory R., Philipp von Hundelshausen, Irina V. Nesmelova, et al.. (2009). Disrupting functional interactions between platelet chemokines inhibits atherosclerosis in hyperlipidemic mice. Nature Medicine. 15(1). 97–103. 333 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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