Irina Häuselmann

1.4k total citations
3 papers, 378 citations indexed

About

Irina Häuselmann is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Irina Häuselmann has authored 3 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Oncology. Recurrent topics in Irina Häuselmann's work include Angiogenesis and VEGF in Cancer (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cell Adhesion Molecules Research (1 paper). Irina Häuselmann is often cited by papers focused on Angiogenesis and VEGF in Cancer (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cell Adhesion Molecules Research (1 paper). Irina Häuselmann collaborates with scholars based in Switzerland, Germany and Czechia. Irina Häuselmann's co-authors include Lubor Borsig, Stefan W. Schneider, Volker Huck, Lucia Knopfová, Marko Roblek, Alexander T. Bauer, Sandra Grässle, Holger Moch, Anna Nowicka and Michael Schindler and has published in prestigious journals such as Cancer Research, Oncogene and Frontiers in Oncology.

In The Last Decade

Irina Häuselmann

3 papers receiving 375 citations

Peers

Irina Häuselmann
Rohitesh Gupta United States
Nadia Le Marer United Kingdom
Maya Datt Joshi United States
Manon Ros France
Irina Häuselmann
Citations per year, relative to Irina Häuselmann Irina Häuselmann (= 1×) peers Marta Pérez-Garay

Countries citing papers authored by Irina Häuselmann

Since Specialization
Citations

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

Fields of papers citing papers by Irina Häuselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Häuselmann

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

All Works

3 of 3 papers shown
1.
Häuselmann, Irina, Marko Roblek, Volker Huck, et al.. (2016). Monocyte Induction of E-Selectin–Mediated Endothelial Activation Releases VE-Cadherin Junctions to Promote Tumor Cell Extravasation in the Metastasis Cascade. Cancer Research. 76(18). 5302–5312. 65 indexed citations
2.
Nowicka, Anna, Irina Häuselmann, Lubor Borsig, et al.. (2015). A novel pVHL-independent but NEMO-driven pathway in renal cancer promotes HIF stabilization. Oncogene. 35(24). 3125–3138. 9 indexed citations
3.
Häuselmann, Irina & Lubor Borsig. (2014). Altered Tumor-Cell Glycosylation Promotes Metastasis. Frontiers in Oncology. 4. 28–28. 304 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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