Irina Häuselmann

11 total papers · 1.4k total citations
3 papers, 375 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 375 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 Glycosylation and Glycoproteins Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Ubiquitin and proteasome pathways (1 paper). Irina Häuselmann is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Ubiquitin and proteasome pathways (1 paper). Irina Häuselmann collaborates with scholars based in Switzerland, Germany and Czechia. Irina Häuselmann's co-authors include Lubor Borsig, Sandra Grässle, Marko Roblek, Volker Huck, Lucia Knopfová, Alexander T. Bauer, Stefan W. Schneider, Peter Schraml, Anna Nowicka and Holger Moch and has published in prestigious journals such as Cancer Research, Oncogene and Frontiers in Oncology.

In The Last Decade

Irina Häuselmann

3 papers receiving 372 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Irina Häuselmann 288 180 91 62 52 3 375
Marta Pérez-Garay 316 1.1× 190 1.1× 67 0.7× 60 1.0× 47 0.9× 9 362
Karen E. Livermore 273 0.9× 105 0.6× 45 0.5× 34 0.5× 43 0.8× 8 346
Natasja Balneger 242 0.8× 210 1.2× 55 0.6× 50 0.8× 17 0.3× 5 333
X. Wang 231 0.8× 243 1.4× 104 1.1× 26 0.4× 54 1.0× 8 384
Sarah Petrie 206 0.7× 229 1.3× 115 1.3× 27 0.4× 19 0.4× 5 407
Liying Jiang 268 0.9× 113 0.6× 74 0.8× 19 0.3× 54 1.0× 6 386
Laura Bazley 253 0.9× 58 0.3× 254 2.8× 19 0.3× 73 1.4× 4 436
Simon Fry 236 0.8× 101 0.6× 107 1.2× 40 0.6× 23 0.4× 7 351
Frank Leon 291 1.0× 115 0.6× 150 1.6× 38 0.6× 44 0.8× 8 411
Bridget Finnerty 212 0.7× 41 0.2× 168 1.8× 27 0.4× 45 0.9× 7 378

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

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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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