Cornelia Hansmann

744 total citations
7 papers, 661 citations indexed

About

Cornelia Hansmann is a scholar working on Molecular Biology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Cornelia Hansmann has authored 7 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Immunology and Allergy and 2 papers in Cancer Research. Recurrent topics in Cornelia Hansmann's work include Protease and Inhibitor Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Cornelia Hansmann is often cited by papers focused on Protease and Inhibitor Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Cornelia Hansmann collaborates with scholars based in Austria, Germany and Czechia. Cornelia Hansmann's co-authors include Hannes Stockinger, Ulrich H. Weidle, Walter Knapp, Otto Majdic, Jan Bohuslav, Ilse Bartke, Johannes Stöckl, Václav Hořejšı́, Bernd R. Binder and Samuel Godár and has published in prestigious journals such as The Journal of Experimental Medicine, European Journal of Immunology and Transplantation.

In The Last Decade

Cornelia Hansmann

7 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia Hansmann Austria 7 260 246 209 164 154 7 661
Chul-Soo Cho South Korea 14 278 1.1× 90 0.4× 53 0.3× 292 1.8× 81 0.5× 15 816
Uwe Jerke Germany 13 232 0.9× 222 0.9× 155 0.7× 250 1.5× 104 0.7× 18 639
Remedios Castelló Spain 14 161 0.6× 159 0.6× 109 0.5× 105 0.6× 110 0.7× 14 638
Elizabeth D. Morrison United States 8 290 1.1× 103 0.4× 84 0.4× 258 1.6× 178 1.2× 11 782
Deborah L. Cundiff United States 8 270 1.0× 232 0.9× 98 0.5× 36 0.2× 152 1.0× 9 542
Stine Friis Denmark 14 209 0.8× 131 0.5× 99 0.5× 81 0.5× 119 0.8× 20 511
G Dekan Austria 10 370 1.4× 33 0.1× 78 0.4× 123 0.8× 54 0.4× 13 735
Matthew McCourt United Kingdom 9 171 0.7× 126 0.5× 43 0.2× 141 0.9× 99 0.6× 18 543
G Kamińska United States 9 267 1.0× 88 0.4× 151 0.7× 91 0.6× 46 0.3× 21 520
Fumihiro Kimura Japan 12 271 1.0× 90 0.4× 66 0.3× 92 0.6× 113 0.7× 39 628

Countries citing papers authored by Cornelia Hansmann

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Hansmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Hansmann

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Hansmann. A scholar is included among the top collaborators of Cornelia Hansmann 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 Cornelia Hansmann. Cornelia Hansmann 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.
Weidekamm, Claudia, Péter Hauser, Cornelia Hansmann, et al.. (2002). Effects of AT1 and AT2 receptor blockade on angiotensin II induced apoptosis of human renal proximal tubular epithelial cells.. PubMed. 114(15-16). 725–9. 15 indexed citations
2.
Oberbauer, Rainer, et al.. (2001). Regulation of renal tubular cell apoptosis and proliferation after ischemic injury to a solitary kidney. Journal of Laboratory and Clinical Medicine. 138(5). 343–351. 35 indexed citations
3.
Schwarz, Christoph, Heinz Regele, Rudolf Steininger, et al.. (2001). THE CONTRIBUTION OF ADHESION MOLECULE EXPRESSION IN DONOR KIDNEY BIOPSIES TO EARLY ALLOGRAFT DYSFUNCTION1. Transplantation. 71(11). 1666–1670. 45 indexed citations
4.
Godár, Samuel, Václav Hořejšı́, Ulrich H. Weidle, et al.. (1999). M6P/IGFII-receptor complexes urokinase receptor and plasminogen for activation of transforming growth factor-β1. European Journal of Immunology. 29(3). 1004–1013. 143 indexed citations
5.
Bauer, Anton, Günther Staffler, Cornelia Hansmann, et al.. (1997). Analysis of the requirement for β2‐microglobulin for expression and formation of human CD1 antigens. European Journal of Immunology. 27(6). 1366–1373. 37 indexed citations
6.
Prager, Elisabeth, Raute Sunder‐Plaßmann, Cornelia Hansmann, et al.. (1996). Interaction of CD31 with a heterophilic counterreceptor involved in downregulation of human T cell responses.. The Journal of Experimental Medicine. 184(1). 41–50. 70 indexed citations
7.
Bohuslav, Jan, Cornelia Hansmann, Johannes Stöckl, et al.. (1995). Urokinase plasminogen activator receptor, beta 2-integrins, and Src-kinases within a single receptor complex of human monocytes.. The Journal of Experimental Medicine. 181(4). 1381–1390. 316 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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